- Corpora - ELRA lists

Extended Deadline: Special Issue on Advancing Arabic Language Models: Resources, Evaluation, and Applications in the Era of Large Language Models
by Wassim El Hajj 22 Aug '25

22 Aug '25

Due to many requests, the new extended deadline is 1st November 2025. Apologies for cross-posting. --------------------------------------------------------------------------- CALL FOR PAPERS: Language Resources and Evaluation Journal - Special Issue on Advancing Arabic Language Models: Resources, Evaluation, and Applications in the Era of Large Language Models Springer Nature: https://link.springer.com/collections/ieheibhacc Guest Editors: Wassim El Hajj (American University of Beirut - Mediterraneo, Cyprus) Hend S. Al-Khalifa (King Saud University, KSA) Ahmed Ali (Saudi Authority for Data and Artificial Intelligence (SDAIA), KSA) Overview This special issue aims to explore the latest advancements, challenges, and future directions in Arabic Language Models (LMs), with a particular focus on Large Language Models (LLMs). It addresses the critical need for robust language resources, comprehensive evaluation frameworks, and innovative applications that cater to the unique linguistic characteristics of Arabic, including its dialects. The issue brings together researchers, linguists, and practitioners to discuss state-of-the-art methodologies, datasets, and evaluation metrics that contribute to the development of more accurate, culturally aligned, and ethically sound Arabic LLMs. By focusing on the intersection of Arabic linguistics, artificial intelligence, and cultural studies, this special issue will provide a comprehensive overview of the current state and future prospects of Arabic LLMs, contributing significantly to the field of language resources and evaluation. Topics of Interest We invite submissions on topics including, but not limited to, the following areas. Both original research contributions and substantial extensions of previously published work are welcome. · Development of large-scale datasets for Arabic, including dialectal varieties. · Novel approaches to Arabic language modeling, including deep learning and hybrid methodologies. · Evaluation frameworks and benchmarks for Arabic LLMs, with a focus on comprehensive assessment across dialects and tasks. · Cultural and ethical considerations in developing and deploying Arabic LLMs. · Applications of Arabic LLMs in education, communication, and other domains. · Challenges and solutions in handling the syntactic and dialectic variations of Arabic in LLMs. · Comparative studies of Arabic LLMs with other language models. · Techniques for improving the efficiency and performance of Arabic LLMs · Interpreting and explaining Arabic LLMs. For further information on this initiative, please refer to https://link.springer.com/collections/ieheibhacc IMPORTANT DATES Submission Deadline: November 1, 2025 Final Decisions: February 30, 2026 Publication: Second Quarter of 2026 SUBMISSION GUIDELINES Authors should follow the "Instructions for Authors (https://link.springer.com/journal/10579/submission-guidelines)" on the LRE journal website. Best Regards on behalf of the Guest Editors, Wassim El Hajj Hend S. Al-Khalifa Ahmed Ali

1 0

The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Last Mile for Workshop Proposals Submission
by Announce 21 Aug '25

21 Aug '25

*** Last Mile for Workshop Proposals Submission *** The Annual ACM Conference on Intelligent User Interfaces (IUI 2026) March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://iui.hosting.acm.org/2026/ (*** Submission Deadline: August 29, 2025 (extended and final!) ***) We are pleased to invite proposals for workshops to be held in conjunction with the Annual International ACM Conference on Intelligent User Interfaces (ACM IUI 2026), Paphos, Cyprus. Workshops aim to provide a venue for presenting research on emerging or specialized topics of interest and to offer an informal forum for discussing research questions and challenges. Potential workshop topics should be related to the general theme of the conference (“Where HCI meets AI”). We welcome proposals for a wide range of *full-day* or *half-day* workshops, including but not limited to: • Mini Conferences: Workshops that focus on a specific topic and may have their own paper submission and review processes. • Interactive Formats: Workshops that encourage active participation and hands-on experiences through break-out sessions or group work to explore specific topics. They may have their own paper submission and review process or target a report summarizing the discussions and outcomes. • Emerging Work Sessions: Workshops that foster discussion around emerging ideas. Organizers may raise specific topics and invite position papers, late-breaking results, or extended abstracts. • Project-Centric Formats: Workshops tied closely to a specific existing large-scale funded project(e.g., NSF, EU) with the goal to engage a broader community. • Interactive Competitions: Formats that invite individuals and teams to participate in challenges or hackathons on selected topics relevant to IUI. Review and Oversight by Workshop Chairs Proposals will be reviewed and evaluated by the Workshop Chairs. It is possible that workshops may be cancelled, shortened, merged, or restructured if there are insufficient submissions. Workshop summaries will be included in the ACM Digital Library for ACM IUI 2026. We will also publish joint workshop proceedings for accepted workshop submissions (through CEUR or a similar venue). Responsibilities of Workshop Organizers • Coordinate the Call for Papers, including solicitation, submission handling, and peer review process. • Create and maintain a dedicated website with workshop information. The IUI 2026 website will link to this page. • Prepare and communicate a Call for Participation, targeting both IUI and broader relevant communities (e.g., via mailing lists, social media, newsgroups, or offline events). • Facilitate the planned activities, including paper presentations, discussions, and/or interactive elements. • Submit a workshop summary for inclusion in the ACM Digital Library. • Collect camera-ready papers and author agreements from workshop participants for the joint workshop proceedings (CEUR or similar). Note that for the joint proceedings (CEUR or similar), submissions should be peer-reviewed and will need to meet publishers’ guidelines. CEUR, for example, requires a 5-page minimum per contribution. Note that not all workshop formats listed above may meet these requirements, and we may not be able to include them. IUI 2026 is an in-person event, and we expect workshop organizers to attend, allowing the workshop to be conducted on-site. One author per paper is expected to attend in person to present the work. Proposal Format Workshop proposals should be a maximum of four pages long (single-column format). Prepare your submission using the latest templates: Word Submission Template (https://authors.acm.org/binaries/content/assets/publications/taps/acm_submi…), or the LaTex Template (https://authors.acm.org/proceedings/production-information/preparing-your-a…). For Latex, please use “\documentclass[manuscript,review]{acmart}”. The proposals should be organized as follows: • Name and title: A one-word acronym and a full title. Please indicate “(Workshop)” after the title. • Abstract: A brief summary of the workshop. • Description of workshop topic: Should discuss the relevance of the proposed topic to IUI and its interest for the IUI 2026 audience. Include a concise discussion of why this workshop is particularly relevant for the intended audience and how it will complement and enhance topics covered at the main conference. • Previous history: List of previous workshops on this topic, including the conferences that hosted them and the number of participants. If available, report on past editions of the workshop (including URLs), along with a brief statement of the workshop series (e.g., covering topics, number of paper submissions, and participants), as well as post-workshop publications over the years and acceptance statistics. If this is the first edition of the workshop, describe how it differs from others on similar topics (e.g., by including conference names and years). • Organizer(s): Names, affiliations, emails, and web pages of the organizer(s). Provide a brief description of the background of the organizer(s). Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Please indicate the primary contact person and the organizers who will attend the workshop. Also, please provide a list of other workshops organized by workshop organizers in the past. • Workshop program committee: Names and affiliation of the members of the (tentative) workshop program committee that will evaluate the workshop submissions. • Participants: Include a statement of how many participants you expect and how you plan to invite participants for the workshop. If possible, include the names of at least 10 people who have expressed interest in participating in the workshop or tutorial. • Workshop activities: A brief description of the format regarding the mix of events or activities, such as paper presentations, invited talks, panels, demonstrations, teaching activities, hands-on practical exercises, and general discussion. • Planned outcomes of the workshop: What are you hoping to achieve by the end of the workshop? Please list here any planned publications or other outcomes expected. • Length: Full-day or half-day. Submission Platform • All materials must be submitted electronically to PCS 2.0 http://new.precisionconference.com/~sigchi by the proposal submission deadline. • In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track, select "SIGCHI", "IUI 2026", and then "IUI 2026 Workshops", and press "Go". We encourage both researchers and industry practitioners to submit workshop proposals. To support diverse perspectives in the workshops, we strongly recommend including organizers from varied institutions and backgrounds. Furthermore, we welcome workshops with an innovative structure that can attract diverse types of contributions and foster valuable interactions. Prospective organizers are encouraged to contact the Workshop Chairs in advance (workshops2026(a)iui.acm.org) to discuss ideas, receive feedback, or seek assistance in preparing engaging proposals. Especially for workshop proposals featuring innovative interactive formats, we are happy to help further develop and implement the ideas. Important Dates (AoE) • Workshop Proposals: August 29, 2025 (extended and final!) • Decision Notification: September 19, 2025 • Camera-ready Summaries: February 6, 2026 Workshop Chairs Karthik Dinakar, Pienso, USA Werner Geyer, IBM Research, USA Patricia Kahr, University of Zurich, Switzerland Antonela Tommasel, CONICET, Argentina

1 0

Introduction to Artificial Intelligence for Translators and Interpreters course
by Constantin Orasan 21 Aug '25

21 Aug '25

The Centre for Translation Studies (CTS) at the University of Surrey invites applications for a place in our stand-alone course on "Introduction to Artificial Intelligence for Translators and Interpreters". This course introduces students to the fundamentals of Artificial Intelligence (AI) and its applications in the field of translation and interpreting. The course covers a wide range of topics, from the basic concepts of AI to more advanced areas and techniques including machine learning, large language models (LLMs) and LLM leveraging and customisation of automatic speech recognition (ASR) engines. Students will be taught different prompting techniques which allows them to interact with LLMs like ChatGPT, so they can develop advanced problem-solving skills. Students will tackle AI-related tasks that are relevant in the fields of translation and interpreting, such as machine translation, customisation of ASR engines and the use of machine assistance in tasks requiring creativity skills (e.g. transcreation). They will also explore the ethical implications of AI and the potential impact of AI on the future of the language industry. The module is offered in synchronous online mode. The module will run for 11 weeks starting on 23rd September. The tentative time slot is Tuesdays, 4-6pm UK time. You can find more details about the module and how to register at https://www.surrey.ac.uk/cpd-and-short-courses/tram511-introduction-artific… The full list of standalone courses we offer this year is available at https://www.surrey.ac.uk/centre-translation-studies/continuing-professional… Should you have any questions, do not hesitate to get in touch. --- Prof Constantin Orăsan Professor of Language and Translation Technologies Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies> | School of Literature and Languages<https://www.surrey.ac.uk/school-literature-languages> Personal page: https://www.surrey.ac.uk/people/constantin-orasan Office: 06LC03, Email: C.Orasan(a)surrey.ac.uk<mailto:C.Orasan@surrey.ac.uk> Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK

1 0

[CfP] CHOMPS Shared Task: SHROOM-CAP, the Shared Task on Hallucinations and Related Observable Overgeneration Mistakes in Crosslingual Analyses of Publications
by Federica Gamba 21 Aug '25

21 Aug '25

TL;DR SHROOM-CAP is an Indic-centric shared task co-located with CHOMPS-2025 to advance the SOTA in hallucination detection for scientific content generated with LLMs. We have annotated hallucinated content in 4* high-resource languages and surprisal 3* low-resource Indic languages using top-tier LLMs. Participate in as many languages as you like by accurately detecting the presence of hallucinated content. Stay informed by joining our Google group ! Full Invitation We are excited to announce the SHROOM-CAP shared task on cross-lingual hallucination detection for scientific publication (link to website). We invite participants to detect whether or not there is hallucination in the outputs of instruction-tuned LLMs within a cross-lingual scientific context. About This shared task builds upon our previous iteration, SHROOM, with three key highlights: LLM-centered, cross-lingual annotations & hallucination and fluency prediction. LLMs frequently produce "hallucinations," where models generate plausible but incorrect outputs, while the existing metrics prioritize fluency over correctness. This results in an issue of growing concern as these models are increasingly adopted by the public. With SHROOM-CAP, we want to advance the state-of-the-art in detecting hallucinated scientific content. This new iteration of the shared task is held in a cross-lingual and multimodel context: we provide data produced by a variety of open-weights LLMs in 4*+3* different high and low resource languages (English, French, Spanish, Hindi, and to-be-later-revealed Indic languages). Participants are invited to participate in any of the languages available and are expected to develop systems that can accurately identify hallucinations in generated scientific content. Additionally, participants will also be invited to submit system description papers, with the option to present them in oral/poster format during the CHOMPS workshop (collocated with IJCNLP-AACL 2025, Mumbai, India). Participants that elect to write a system description paper will be asked to review their peers’ submissions (max 2 papers per author). Key Dates: All deadlines are “anywhere on Earth” (23:59 UTC-12). - Dev set available by: 31.07.2025 - Test set available by: 05.10.2025 - Evaluation phase ends: 15.10.2025 - System description papers due: 25.10.2025 (TBC) - Notification of acceptance: 05.11.2025 (TBC) - Camera-ready due: 11.11.2025 (TBC) - Proceedings due: 01.12.2025 (TBC) - CHOMPS workshop: 23/24th December 2025 (co-located with IJCNLP-AACL 2025) Evaluation Metrics: Participants will be ranked along two criteria: 1. factuality mistakes measured via macro-F1 gold reference vs. predicted; 2. fluency mistakes measured via macro-F1 gold reference vs. predicted based on our annotations. Rankings and submissions will be done separately per language: you are welcome to focus only on the languages you are interested in! How to Participate: - Register: Please register your team https://forms.gle/hWR9jwTBjZQmFKAE7 and join our google group: https://groups.google.com/g/shroomcap - Submit results: use our platform to submit your results before 15.10.2025 - Submit your system description: system description papers should be submitted by 25.10.2025 (TBC, further details will be announced at a later date). Want to be kept in the loop? Join our Google group mailing list! We look forward to your participation and to the exciting research that will emerge from this task. Best regards, SHROOM-CAP organizers

1 0

Two public online talks in August and September on Pre-trained Language Models / Foundation Models (NLPV seminars, Exeter)
by h.dong2＠exeter.ac.uk 20 Aug '25

20 Aug '25

We welcome you to the next Natural Language Processing and Vision (NLPV) seminars at the University of Exeter. Talk 1 Scheduled: Thursday 21 Aug 2025 at 16:00 to 17:00, GMT+1 Location: https://Universityofexeter.zoom.us/j/97587944439?pwd=h4rnPO0PafT9oRrrqQsezG… (Meeting ID: 975 8794 4439 Password: 064414) Title: Trustworthy Optimization of Pre-Trained Models for Healthcare: Generalizability, Adaptability, and Security Abstract: Pre-trained language models have opened new possibilities in healthcare, showing promise in mining scientific literature, analyzing large-scale clinical data, identifying patterns in emerging diseases, and automating workflows, positioning themselves as intelligent research assistants. However, general-purpose models, typically trained on web-scale corpora, often lack the clinical grounding necessary for reliable deployment in high-stakes domains like healthcare. To be effective, they must be adapted to meet domain-specific requirements. My PhD thesis addresses three core challenges in leveraging pre-trained models for healthcare: (i) the scarcity of labeled data for fine-tuning, (ii) the evolving nature of healthcare data, and (iii) the need to ensure transparency and traceability of AI-generated content. In this talk, I will focus on the third challenge: enabling traceability of content generated by large language models. I will begin with an overview of prior watermarking approaches and then present our proposed solution. We introduce a watermarking algorithm applied at inference time that perturbs the model’s logits to bias generation toward a subset of vocabulary tokens determined by a secret key. To ensure that watermarking does not compromise generation quality, we propose a multi-objective optimization (MOO) framework that employs lightweight networks to produce token-specific watermarking logits and splitting ratios, specifying how many tokens to bias and by how much. This approach effectively balances watermark detectability with semantic coherence. Experimental results show that our method significantly improves detectability and robustness against removal attacks while preserving the semantics of the generated text, outperforming existing watermarking techniques. Speaker's bio: Dr. Sai Ashish Somayajula is a Senior Applied Scientist in Generative AI at Oracle Cloud Infrastructure, where he develops large-scale foundation models for enterprise applications. He earned his PhD in Electrical and Computer Engineering from the University of California (UC), San Diego. His research focused on addressing key challenges in adapting and utilizing pre-trained models for healthcare. Specifically, his work spanned three core areas: (1) synthetic data generation using meta-learning-based feedback mechanisms, (2) continual learning for handling dynamic data streams without catastrophic forgetting, and (3) token-level watermarking techniques to ensure content provenance and security. His research has been published in premier venues, including the International Conference on Machine Learning (ICML), Annual Meeting of the Association for Computational Linguistics (ACL), Transactions of the Association for Computational Linguistics (TACL), Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Scientific Reports (Nature Portfolio), and Transactions of Machine Learning Research (TMLR). He is a recipient of the Jacobs School of Engineering Departmental Fellowship at UC San Diego. Ashish has collaborated with leading industrial research labs through internships at Apple and Tencent AI Lab. He holds a Bachelor's degree in Electrical Engineering with a minor in Computer Science from the Indian Institute of Technology, Hyderabad, where he was twice awarded the Academic Excellence Award, and a Master’s in Intelligent Systems and Robotics from UC San Diego. Talk 2 Scheduled: Thursday 4 Sep 2025 at 13:00 to 14:00, GMT+1 Location: https://Universityofexeter.zoom.us/j/95827730937?pwd=Te1wejfgr68A5lplwLQjxw… (Meeting ID: 958 2773 0937 Password: 879296) Title: Towards end-to-end tokenization and adaptive memory in foundation models Abstract: Foundation models (FMs) process information as a sequence of internal representations; however, the length of this sequence is fixed and entirely determined by tokenization. This essentially decouples representation granularity from information content, which exacerbates the deployment costs of FMs and narrows their “horizons” in long sequences. What if, instead, we could free FMs from tokenizers by modelling bytes directly, while making them faster than current tokenizer-bound FMs? I argue that a recipe to achieve this goal already exists. In particular, I helped prototype how to: 1) dynamically pool representations in internal layers, progressively learning abstractions from raw data; 2) compress the KV cache of Transformers during generation without loss of performance; 3) predict multiple bytes per time step in an efficient yet expressive way; 4) retrofit existing tokenizer-bound FMs into byte-level FMs through cross-tokenizer distillation. By blending these ingredients, we may soon witness the emergence of efficient byte-level FMs. Speaker's short bio (based on website): Edoardo Ponti is an assistant professor in Natural Language Processing at the University of Edinburgh and a visiting professor at NVIDIA. His research focuses on efficient architectures (see NeurIPS 2024 tutorial on dynamic sparsity), modular deep learning (designing neural architectures that route information to specialised modules, e.g., sparse subnetworks), and computational typology (understand how languages vary, across the world and its cultures, within a computational and mathematical framework). Previously, Edorado was a visiting postdoctoral scholar at Stanford University and a postdoctoral fellow in computer science at Mila - Quebec AI Institute in Montreal. In 2021, Edorado obtained a PhD from the University of Cambridge, St John’s College. Once upon a time Edorado studied typological and historical linguistics at the University of Pavia. Edoardo’s research has been featured on the Economist and Scientific American, among others. Edoardo received a Google Research Faculty Award and 2 Best Paper Awards at EMNLP 2021 and RepL4NLP 2019. Edoardo is a board member of SIGTYP, the ACL special interest group for computational typology, a Scholar of the European Lab for Learning and Intelligent Systems (ELLIS), and part of the TACL journal editorial team. We will update future talks at the website: https://sites.google.com/view/neurocognit-lang-viz-group/seminars Joining our *Google group* for future seminar and research information: https://groups.google.com/g/neurocognition-language-and-vision-processing-g…

1 0

RANLP 2025 TUTORIALS (6-7 September): Call for participation
by Petya Osenova 19 Aug '25

19 Aug '25

RANLP 2025 TUTORIALS (6-7 September) Call for Participation Website - https://ranlp.org/ranlp2025/index.php/tutorials/ RANLP 2025 belongs to a sequence of events with similar name and continues the tradition of successful training events that were held in Bulgaria since 1989. RANLP 2025 plans 4 half-day tutorials, each with duration of 185 minutes, distributed as follows: 45 min presentation + 20 min break + 45 min presentation + 30 min coffee break + 45 min presentation. Tutorial Presenters * Burcu Can Buglalilar (University of Sterling, UK) * Salima Lamsiyah (University of Luxembourg, Luxembourg) * Tharindu Ranasinghe and Damith Dola Mullage Premasiri (Lancaster University, UK) * Anna Rogers and Max Müller-Eberstein (IT University of Copenhagen, Denmark) Programme 6th September 2025, 9am Tharindu Ranasinghe and Damith Premasiri: NLP in the LLM era This tutorial examines the transformation of Legal NLP in the era of large language models, beginning with key principles of task formulation and data preparation. We will discuss retrieval and judgment prediction in detail, exploring their methodologies, challenges, and applications in legal contexts. We conclude with a forward-looking discussion on the future of Legal AI and the ethical considerations surrounding its applications in the practice of law. 6th September 2025, 2pm Burcu Can Buglalilar: From Large to Small: Building Affordable Language Models with Limited Resources This tutorial aims to question the limitations and harms of Large Language Models, followed by a comprehensive review of Small Language Models, covering prominent examples, their key techniques, and their capabilities. It will also give an overview of even smaller ‘baby’ language models. Finally, the tutorial will conclude by presenting some recent studies in which we developed baby language models using a very small amount of data. 7th September 2025, 9am Anna Rogers and Max Müller-Eberstein: Studying Generalization in the Age of Contamination The tutorial will discuss the challenges of doing NLP research in the age of LLMs, when we can no longer be sure that the test data was not observed in training. We will cover the main approaches to studying generalization in various settings, and present a new framework for working with controlled test-train splits across linguistically annotated data at scale. 7th September 2025, 2pm Salima Lamsiyah: AI Content in NLP: Trends, Detection, and Applications This tutorial provides a comprehensive overview of AI-generated content in Natural Language Processing (NLP). It covers recent trends in text generation, methods for detecting AI-generated text, and practical applications of such content. The content includes an exploration of state-of-the-art models and techniques for text generation, approaches to identifying machine-generated text, a review of key benchmarks and datasets, and a discussion of open research challenges. We are looking forward to your participation! The organisers of RANLP 2025

1 0

[CfP] ECIR 2026: 2nd call – Workshop Proposals (Sep 12)
by Yifei Yuan 18 Aug '25

18 Aug '25

Call for Workshop Proposals ECIR 2026 (https://ecir2026.eu/) workshops provide a platform for presenting novel ideas and research results in emerging areas in IR in a focused and interactive way. Workshops can be either a half-day (3.5 hours plus breaks) or a full day (7 hours plus breaks). The organizers of approved workshops are expected to set up a webpage for the workshop, disseminate the call for papers and the call for participation, gather and review submissions, and prepare the final program. A camera-ready summary of the workshop, written by the organizers, will be included in the ECIR conference proceedings. Workshops are encouraged to be as dynamic and interactive as possible and should lead to a concrete outcome, such as the publication of workshop proceedings. Organizers are also encouraged to write a summary article for the June edition of the ACM SIGIR Forum, highlighting the main results of the workshop. Workshops are on site, and at least one organizer is expected to attend the workshop. Topics of Interest We welcome submissions on any topic relevant to the general field of Information Retrieval, including those mentioned in the Call for Full papers for ECIR 2026. Submission Guidelines Workshop proposals should contain the following information: Title and abstract of the workshop; Motivation and relevance to ECIR; Workshop goals/objectives and overall vision, coupled with desired outcomes; Format and Structure, in particular, duration of the workshop (full-day or half-day workshop); mention to the type of papers (e.g., full papers, demo papers, negative papers, etc); type of presentation (e.g., oral; poster, etc); and proceedings (e.g., CEUR; Special Issue, etc); planned activities, the tentative schedule of events etc.; resources needed to deliver the workshop (e.g., poster boards, etc); Intended audience, including number of expected participants and how they will be selected/invited; List of organizers with a brief bio highlighting the relevance of their expertise to the workshop topics Names of potential programme committee members, invited speakers, etc Indicate if the workshop is related to or follows on from another workshop; if so, please, identify which conference it was previously held at, the past attendance and outcomes, and why another workshop is needed; Any other relevant information to support your proposal. Workshop proposals should be prepared using Springer proceedings templates available on the Springer webpage, with a maximum length of 8 pages. All proposals must be in English and will be submitted electronically through the conference submission system. Workshop proposals will be reviewed by the ECIR 2026 workshop committee based on the quality of their proposal, covered topics, relationship to ECIR, and likelihood of attracting participants. The ECIR workshop co-chairs will make final decisions. Springer webpage: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… Submission page: EasyChair submission page: https://easychair.org/conferences/?conf=ecir2026 Ethics and Professional Conduct ECIR 2026 expects authors (as well as the PC, and the organising committee) to adhere to accepted standards on ethics and professionalism in our community, namely: The ACM’s Policy on Authorship, The ACM’s Code of Ethics and Professional Conduct, The ACM’s Conflict of Interest Policy, The ACM’s Policy on Plagiarism, Misrepresentation, and Falsification, The ACM’s Policy Against Harassment Workshop Proposals Track Dates Workshop proposals submission: September 12, 2025, 11:59pm (AoE) Workshop proposals notification: October 17, 2025 Workshop day: April 02, 2026 Workshop Proposals Track Chairs Negar Arabzadeh (UC Berkeley) Franco Maria Nardini (ISTI-CNR, Pisa, Italy) Contact: ecir2026-workshops(a)easychair.org

1 0

[CfP] ECIR 2026: 1st call – Short Papers (Abstract Oct 7)
by yuanyif＠ethz.ch 18 Aug '25

18 Aug '25

Call for Short Papers The European Conference on Information Retrieval (ECIR) is the prime European forum for the presentation of original research in the field of Information Retrieval. The 48th European Conference on Information Retrieval (ECIR 2026) will take place as a physical (in-person) conference from 29 March to 2 April 2026 in Delft, The Netherlands. Topics of Interest The Short Paper Track calls for original contributions presenting novel, thought-provoking ideas and addressing innovative application areas within the field of Information Retrieval, including those mentioned in the Call for Full papers for ECIR 2026 Short papers differ from full papers in that they present innovative new works, but may be narrower in scope or applications. Submissions may include preliminary ideas, but still should provide empirical or theoretical validation. Papers that stimulate discussion are particularly encouraged. • Short papers are up to 6 pages in length, plus additional pages for references. Appendices count toward the page limit. Please put appendices before the references for paper submission. • Short papers will be refereed through double-anonymous peer review. This means that all submitted papers must be fully anonymised. Submission Guidelines Authors should consult Springer's authors' guidelines and use their proceedings templates, either for LaTeX or for Word (to be found at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…), for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers (https://www.springer.com/gp/authors-editors/orcid). All submissions must be written in English. All papers should be submitted electronically through the EasyChair submission system: https://easychair.org/conferences/?conf=ecir2026. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the paper has been submitted, changes relating to its authorship cannot be made. Accepted papers will be published in the conference proceedings in the Springer Lecture Notes in Computer Science series. The proceedings will be distributed to all delegates at the conference. Accepted papers will have to be presented at the conference by one of the authors in person, and at least one author for each accepted contribution will be required to register and attend. Dual Submission Policy Papers submitted to ECIR 2026 should be substantially different from papers that have been previously published, or accepted for publication, or that are under review at other venues. Exceptions to this rule are: Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings. Submission is permitted for papers that have previously been made available as a technical report (e.g., in institutional archives or preprint archives like arXiv). Please do not cite your technical report and make an effort to avoid any issues that may harm the anonymity of your submission. Reviewers will receive guidance that asks them to refrain from trying to break the anonymity, but be aware that the availability of an available technical report for an ECIR submission might cause some issues. Ethics and Professional Conduct ECIR 2026 expects authors (as well as the PC and the organising committee) to adhere to accepted standards on ethics and professionalism in our community, namely: • The ACM's Policy on Authorship, • The ACM's Code of Ethics and Professional Conduct, • The ACM's Conflict of Interest Policy, • The ACM's Policy on Plagiarism, Misrepresentation, and Falsification, • The ACM's Policy Against Harassment Short Paper Track Dates • Short paper abstract submission: October 7, 2025, 11:59pm (AoE) • Short paper submission: October 14, 2025, 11:59pm (AoE) • Short paper notification: December 16, 2025 (AoE) • Main conference: March 30 – April 1, 2026 Short Paper Track Chairs • Sean McAvaney (University of Glasgow, UK) • Mohammad Aliannejadi (University of Amsterdam, The Netherlands) • Christine Bauer (University of Salzburg, Austria) • Contact: ecir2026-short AT easychair.org

1 0

Final CfP Historical Languages and AI (Berlin, Germany)
by Daidalos-Projekt (Konstantin Schulz) 18 Aug '25

18 Aug '25

Call for Papers: Historical Languages and AI See the online version at https://daidalos-projekt.de/conference/cfp/ . March 5-6, 2026 The intersection of historical languages and artificial intelligence (AI) presents a rich and dynamic field of study, with the potential to revolutionize our understanding of the past and the ways in which we engage with historical texts. As digital technologies continue to advance, the need for interdisciplinary collaboration becomes increasingly apparent. The upcoming 2-day international conference on “Historical Languages and AI” aims to foster this collaboration by bringing together experts from computational literary studies, digital history, linguistics, and other domains that work with historical languages such as Latin. The conference seeks to address the growing demand for innovative methods and tools that can enhance the analysis, preservation, and interpretation of historical languages. By leveraging AI technologies, researchers can unlock new insights into historical texts, improve the accuracy of translations, and develop more effective teaching methods for historical languages. The conference will provide a platform for scholars to share their latest findings, discuss emerging trends, and explore the practical applications of AI in historical language research. It explicitly includes historical stages of modern languages, such as Old English or Early New High German. The conference is hosted by the Daidalos research project (Humboldt University Berlin, 2023-2026; https://daidalos-projekt.de ). The project is building a research infrastructure for methods of natural language processing (NLP). The target group is literary scholars in classical philology and related disciplines. The research infrastructure consists, on the one hand, of an interactive website on which interested parties can apply NLP methods to text corpora. On the other hand, the Daidalos project sees itself as a contact point for interested researchers. In this function, the project regularly invites researchers to workshops (https://daidalos-projekt.de/workshops), advises them within the framework of research tandems (https://daidalos-projekt.de/tandems), and provides materials for further training (https://daidalos-projekt.de/jupyterlite). Conference Dates: March 5-6, 2026 Venue: Humboldt-Universitaet zu Berlin (Berlin, Germany) Unfortunately, we cannot offer travel bursaries. Attending the conference itself is free of charge. Topics of Interest We welcome submissions on a wide range of topics related to historical languages and AI, including but not limited to: Machine Learning Large Language Models / Large Action Models Usage for data modeling or corpus construction Challenges in low-resource scenarios Neural machine translation for historical texts Innovative approaches to historical language analysis Linguistic analysis for literary studies Part-of-speech tagging Topic modeling Sentiment analysis Named entity recognition Word embeddings Multilingual Information Retrieval, incl. cross-lingual embeddings Evaluation of AI-driven methods and datasets Frameworks for mapping research questions to relevant AI models and methods Assessment of AI tools in historical language studies Technical Infrastructure for Research & Teaching Integrating technologies like Jupyter Notebooks into larger software platforms Retrieval-augmented generation for domain-specific chatbots Teaching & Learning Digital Literacies, incl. open educational resources for teaching natural language processing Important Dates Submission Deadline: September 1, 2025 Notification of Acceptance: October 15, 2025 Camera-Ready Submission: January 31, 2026 Conference Dates: March 5-6, 2026 Submission types Included in the open-access proceedings: *Long papers*: up to 4000 words (ca. 8 pages, excl. bibliography and appendix). Long papers report on original and unpublished results. Long papers are presented as oral presentations (30 min talk + 15 min discussion). We welcome the use of appendices or other supplementary information. Published only in the book of abstracts in our Zenodo Community: *Short papers*: up to 2000 words (ca. 4 pages, excl. bibliography and appendix). Short papers report on focused contributions, and may present work in progress. Short papers are presented as short oral presentations (20 min talk + 10 min discussion). We welcome the use of appendices or other supplementary information. *Pitch Your Research Idea*: Submit an abstract of up to 200 words (excl. bibliography and appendix) to give a 5-minute presentation during a pitch session. The presentations are followed by a Scientific Speed Dating Session and enable researchers to get in touch faster.Long papers Workshops (90 min): Submit a proposal for your intended workshop of up to 750 words. Workshops should be organized as hands-on research or learning opportunity. The workshops will take place on the second day of the conference (March 6, 2026). Workshop proposals should describe: the aims and setup of the workshop, the academic background for the work, an outline of the workshop, including the types of activities, the expected key outcomes, a short bio of each organizer or presenter, including their name, affiliation, email address, a plan for promoting the workshop to attract participants, specific requirements, including but not limited to special equipment (e.g., audio/video), software, physical space arrangements, any technical knowledge, skills, or experience participants should have before attending the workshop. Submission Guidelines and Participation All submissions must be in English or German. Papers should be formatted according to the conference template: Template of the Association for Computational Linguistics (https://github.com/acl-org/acl-style-files). It supports both Microsoft Word and LaTeX. Submissions will be peer-reviewed by the organizers. Papers should be submitted as PDF documents via E-Mail: daidalos-projekt(a)hu-berlin.de At least one author of each accepted submission must register to the conference and present the paper. Proceedings of the conference will be published as a Propylaeum eBook in the Digital Classics Books series (for long papers; https://books.ub.uni-heidelberg.de/propylaeum/catalog/series/dcb) and on Zenodo (for all other submissions; https://zenodo.org/communities/daidalos). Hybrid conference: All paper presentations will be broadcast live. Presenters can choose to participate remotely or on-site. On-site attendance is required to participate in the more interactive activities of the conference, e.g. workshops. Contact Information For any inquiries, please contact the conference organizers at daidalos-projekt(a)hu-berlin.de . We look forward to receiving your submissions and welcoming you to the International Conference on Historical Languages and AI! The Conference *Organizing Committee* of the Daidalos project: Andrea Beyer, Konstantin Schulz, Anke Lüdeling, Florian Kotschka, Florian Deichsler, Malte Dreyer

1 0

PhD grant on Analysing Clinical Documents to Support Decision Making Processes in Emergency Departments
by Alberto Lavelli 17 Aug '25

17 Aug '25

*Analysing Clinical Documents to Support Decision Making Processes in Emergency DepartmentsDeadline for application: August 26 2025, 13:00 CEST* One three-year PhD grant on Analysing Clinical Documents to Support Decision Making Processes in Emergency Departments is offered by the Doctoral Program in Brain, Mind & Computer Science (BMCS, http://hit.psy.unipd.it/BMCS) at the University of Padua, jointly with the Natural Language Processing research unit (https://nlplab.fbk.eu/) at Fondazione Bruno Kessler (Trento, Italy), where most of the research activities will be conducted. The language of the PhD programme is English. The deadline for application is: August 26 2025, 13:00 CEST For more information, the call, and applications look at: http://hit.psy.unipd.it/BMCS/admission The candidate will have the unique opportunity to explore different fields (Natural Language Processing, Machine Learning, Health & Well-Being) being directly coached by very experienced teammates. The involved PhD will work in an international environment at Fondazione Bruno Kessler (Trento, Italy). This PhD grant intends to exploit the capacity of Large Language Models (LLMs) to interpret the content of clinical documents produced in Emergency Departments (EDs) of hospitals in order to improve service quality for patients. The final goal of the project is to advance into the integration of generative AI models into healthcare, improving their alignment with the clinical expertise and the processes in EDs. The major context of the PhD will be the Horizon project eCREAM ( ecreamproject.eu/), where, through active scientific protocols, several EDs of different EU countries are involved. On the one hand, the project will take advantage of LLMs for automatic filling of Case Report Forms from anonymized clinical notes in several languages. On the other hand, the reasoning capacities of LLMs will then be applied to the extracted information to derive statistical analysis that helps decision makers for better process efficiency. The adoption of LLMs in the clinical field raises a number of research challenges, which will be addressed during the PhD. Such challenges include improving accuracy of performance, interpretability of decisions in classification tasks, coherence of reasoning capacity, mitigating the existence of biases, and risks related to data security. Fondazione Bruno Kessler is an internationally well-known research center, whose information technology department ranks first among the Engineering and Information Science research centers in Italy. The Natural Language Processing research unit (https://nlplab.fbk.eu/) is an internationally well known research group focused on text mining (information extraction and ontology population from text, analysis of the sentiment and of the emotional content of texts); conversational agents (task oriented dialogue systems, question answering, generation of persuasive messages); and development of linguistic resources, particularly for the Italian language. To get in contact with the NLP research unit and discuss about the opportunities of this call, contact Bernardo Magnini (magnini(a)fbk.eu) The Doctoral Program in Brain, Mind & Computer Science (BMCS) emerges from the close collaboration between faculty from psychology, cognitive neuroscience and information science around the unifying topic of human-computer interaction. Its program rests on the assumption that the ability to work in groups with people of different background is now a fundamental condition to produce scientific excellence and to develop innovative skills that can be spent on the job market. ****Required/Preferred Candidate Skills and Competencies**** The candidate should possess basic knowledge on Natural Language Processing and Machine Learning techniques (particularly deep learning architectures and large language models). Experience on biomedical/clinical data will be a plus. Basic programming skills (e.g. Python) would complete the profile. Proficiency in English is required, basic knowledge of Italian preferable. ****Instructions for applicants**** Interested applicants are invited to apply following the instructions given in https://pica.cineca.it/unipd/dottorati41luglio by August 26 2025, 13:00 CEST For further information, please contact: Bernardo Magnini (magnini(a)fbk.eu) -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

1 0

2026

2025

2024

2023

2022