BCS Search Industry Awards 2025
We are delighted to announce this year's Search Industry Awards, celebrating the best search innovations of 2025. Presented by the Information Retrieval Specialist Group of the BCS <https://www.bcs.org/membership-and-registrations/member-communities/informa…>, these awards recognize people, projects, and organisations around the world that have excelled in the design of search and information retrieval products and services. If you know of any people, projects, or products that deserve recognition, let us know by submitting a nomination. Alternatively, if you're involved with something special yourself, you can submit an application <https://docs.google.com/forms/d/e/1FAIpQLSfxTx0oN3xCRcy1rgktug-k4e8kmVvvLQL…> today.
Categories
This year we are offering four awards:
Best Search Project recognises the most impactful implementation of search technology or methodology in solving a specific problem or need. Previous winners include:
Datafari Enterprise Search <https://www.datafari.com/en/index.html>, an open-source end-to-end solution covering the needs of enterprise search scenarios
Wikiframe Visual Graph <https://wikiframe.library.unlv.edu/>, a search capability for Special Collections data stored on Wikidata
CiteSeerX <https://citeseerx.ist.psu.edu/>, one of the largest open-source academic search engines with over 10 million documents
Search Professional of the Year is made to an individual who has made a significant contribution through their work and professionalism. Previous winners include:
Jayaprakash Sundararaj <https://www.linkedin.com/in/osjayaprakash/>, Lead Engineer at Google
Amey Porobo Dharwadker <https://ameydhar.com/>, Machine Learning Tech Lead Manager at Meta
Adam Tocock <https://www.whittington.nhs.uk/mini-apps/staff/profile/?id=2478>, Library Assistant at NHS
Most promising Start-up (or new Enterprise) recognises the innovative and disruptive potential of a business model, technology, or solution. Previous winners include:
deepset.ai <http://deepset.ai/>, a leader in framework and platform technology that accelerates AI application development with large language models (LLMs); and the creator of the Haystack open-source framework
batteryincluded.ai <http://batteryincluded.ai/>, First BI Product Discovery Framework incl. 3 pillars for highest relevance within global product listings
Giotto AI <https://www.giotto.ai/>, an all-in-one platform to automatize, digitalize, and standardize the data collection, analysis and writing of a Clinical Evaluation Report
Best Presentation at Search Solutions Previous winners include:
Taketomo Isazawa, Microsoft Research: “Beyond RAG: Integrating Knowledge with LLMs"
Charlie Hull, OSC: “Pragmatic AI-powered Search – Keeping it Simple, not Stupid”.
Filip Radlinski, Google: “Challenges with Really Understanding Natural Language in Conversational Recommendation”
The last award is open only to presenters at Search Solutions, and will be judged on the day of the event. For all others, apply today <https://docs.google.com/forms/d/e/1FAIpQLSfxTx0oN3xCRcy1rgktug-k4e8kmVvvLQL…>!
Judging Panel
Winners will be selected by our panel of judges (details to be announced shortly).
Awards Ceremony
The awards ceremony will take place during Search Solutions 2025 <https://www.bcs.org/membership-and-registrations/member-communities/informa…>.
Apply
We’ve designed the application process <https://docs.google.com/forms/d/e/1FAIpQLSfxTx0oN3xCRcy1rgktug-k4e8kmVvvLQL…> to be simple to complete. If you are unsure which category to apply for, or have questions about the application process, contact us via the address below. For further details, see: https://www.bcs.org/membership-and-registrations/member-communities/informa… <https://www.bcs.org/membership-and-registrations/member-communities/informa…>
Nominations will remain open until 31st October 2025.
Contact
If you have any questions on the above, please contact the Awards Chair at udo.kruschwitz(a)ur.de <mailto:udo.kruschwitz@ur.de> with a copy to the IRSG Events Organiser at tgr2uk+irsg(a)gmail.com <mailto:tgr2uk+irsg@gmail.com>
About IRSG
The IRSG is a Specialist Group of BCS <https://www.bcs.org/>. Its mission is to provide a focus for the European IR community, facilitate communication between researchers and practitioners and promote the adoption of IR research within industry. We host a major European conference (ECIR) and provide an associated programme of workshops, seminars and events. The IRSG is free to join via the BCS website, which provides access to further IR articles, events and resources.
BCS is the industry body for IT professionals. With members in over 100 countries around the world, BCS is the leading professional and learned society in the field of computers and information systems.
**Social Media Access Days**
Social media data between research and infrastructure – sustainable archiving, indexing and access
Conference topics
Online platforms, especially social media platforms, are both research objects and sources of data for a variety of research approaches in the humanities and social sciences, computer science, and the natural and life sciences. The historical evolution of social media makes them a part of our digital cultural heritage. However, the processes used by institutions to archive and document social media data are still only rudimentary, not least because of their economic, social and aesthetic characteristics and the unique attributes of media technology. Researchers, research institutions and cultural heritage institutions therefore face a wide range of problems in terms of their archiving, indexing and use. Researchers who wish to work with social media data also encounter numerous new challenges, especially when fundamental changes such as the elimination of application programming interfaces (APIs) impact access to specific data from online platforms.
The archiving, indexing and use of dynamic data from social media are therefore fraught with problems which researchers, research institutions, libraries and archives have to tackle in a consistent manner. Ideally, solutions to these problems should be developed cooperatively, since this requires extensive effort which would be beyond the scope of a single data community or discipline.
The aim of the conference is therefore to enable libraries, archives, infrastructural facilities, research institutions and researchers to network and exchange experiences with archiving and the sustainable use of data and digital objects from social media. We explicitly welcome case studies and presentations on solutions and their practical implementation as well as reports on research findings.
We are particularly interested in contributions on the following key topics:
- Sustainable infrastructure for collecting and providing access to social media content
- Interaction between researchers and archiving institutions
- Ethical issues and best practices
- Legal issues and solutions
- Challenges posed by restrictive data access from social media platforms
- Experiences with data access in the context of the Digital Services Act
- Status and preservation of social media from an archival and cultural-historical perspective, e.g. posts, interactions, platform elements
- Consolidation of collections, corpora, holdings
- Metadata, data documentation and indexing social media data
- Use of AI & LLMs for data documentation and indexing purposes
- Initiatives focusing on archiving and access
- Concepts for the provision and use of derivatives (aggregated or derivative formats) from social media
- Experiences with the reusability of available data
Date
The conference will take place from 17 to 19 March 2026 at the German National Library in Frankfurt am Main. The main conference language is German. However, contributions can also be submitted in English. We aim to schedule all English-language presentations together in one day, if possible.
Submissions
We look forward to receiving your submissions for presentations and your proposals for tutorials, workshops or interactive formats.
Presentations / posters: Please submit your proposals in the form of abstracts containing a maximum of 500 words (plus bibliographies and max. 1 illustration). Contributions can be based on research findings or personal experience and may be presented in German or English. The programme committee will decide which contributions to accept as oral presentations and which as posters.
Further formats: Proposals for tutorials, workshops, themed sessions and other interactive formats should not exceed two pages and should contain the following information: proposed format and realisation, language, target group (potential number of participants), motivation and goals. In addition, please tell us whether you require special technical equipment or facilities. We will then determine how these can be provided on site.
Please send your submissions as a PDF document to: twarchiv(a)dnb.de
Timeline
Deadline for submitting abstracts: 31 October 2025
Response by: 30 November 2025
Conference: 17.-19.03.2026
Participation
The conference will take place in person at the German National Library in Frankfurt am Main. There are currently no plans to stream the event online. The participation fee is approx. 50 Euros.
Speakers who do not have their own travel funds may apply for up to 300 euros to cover travel and accommodation expenses (per presentation for max. one person).
Organisation
German National Library Frankfurt am Main
Dr Britta Woldering
twarchiv(a)dnb.de
Program Committee
Stefan Dietze (GESIS and HHU Düsseldorf)
Dimitar Dimitrov (GESIS)
Philippe Genêt (German National Library)
Tatjana Scheffler (Ruhr University Bochum)
Claus-Michael Schlesinger (UB der HU Berlin)
Katrin Weller (GESIS and HHU Düsseldorf)
Britta Woldering (German National Library)
Cooperation partners
BERD@NFDI
German National Library
GESIS – Leibniz Institute for the Social Sciences
NFDI4DataScience
Text+
Conference website: https://www.dnb.de/EN/smad
---
Tatjana Scheffler (she/her)
GB 5/157
Ruhr-Universität Bochum
Digital Forensic Linguistics
Fakultät für Philologie, Germanistisches Institut
Universitätsstraße 150
44780 Bochum
Germany
Mail: tatjana.scheffler(a)rub.de
Web: http://staff.germanistik.rub.de/digitale-forensische-linguistik/
Mastodon: https://fediscience.org/@tschfflr
Tel.: +49 234 32-21471
Dear colleagues,
We are pleased to announce the first call for papers of the
*1st Workshop on Multilingual Data Quality Signals at COLM 2025*
Important information:
🗓️ CfP Deadline Extended to: July 3, Workshop: October 10
📍 Montréal, Canada
🌐 https://wmdqs.org
Scope
Recent research has shown that large language models (LLMs) not only need large quantities of data, but also need data of sufficient quality. Ensuring data quality is even more important in a multilingual setting, where the amount of acceptable training data in many languages is limited. Indeed, for many languages even the fundamental step of language identification remains a challenge, leading to unreliable language labels and thus noisy datasets for underserved languages.
In response to these challenges, we will be holding the first Workshop on Multilingual Data Quality Signals (WMDQS) in tandem with COLM. We invite the submission of long and short research papers related to data quality in multilingual data.
Even though most previous work on data quality has been targeted at LLM development, we believe that research in this area can also benefit other research communities in areas such as web search, web archiving, corpus linguistics, digital humanities, political sciences and beyond. We therefore encourage submissions from a wide range of disciplines.
WMDQS will also include a shared task on language identification for web text. We invite participants to submit novel systems which address current problems with language identification for web text. We will provide a training set of annotated documents sourced from Common Crawl to aid development.
Topics
We welcome submissions of (1) original research papers, (2) review/opinion papers, (3) online systems on the topics listed below, and (4) extended abstracts. We especially welcome work-in-progress projects and all novel ideas covering research in multilinguality, underserved/low-resource languages, under-represented linguistic communities and all types of work covering data quality signals. Suggested areas include:
- Data pipelines for data annotation and data filtering
- Undesirable content detection in a multilingual setting
- Multilingual or language independent content ranking
- Human annotation platforms and systems
- Multilingual tokenization mechanisms
- Small language models and embeddings
- Linguistic studies in underserved languages
- Corpus creation and curation methods, especially for underserved languages
- Machine translation
- Digital humanities
- Historical and constructed languages
Shared task
The lack of training data—especially high-quality data—is the root cause of poor language model performance for many languages. One obstacle to improving the quantity and quality of available text data is language identification (LangID or LID). Lang ID remains far from solved for many languages. Several of the commonly used LangID models were introduced in 2017 (e.g. fastText and CLD3). The aim of this shared task is to encourage innovation in open-source language identification and improve accuracy on a broad range of languages.
All accepted authors will be invited to contribute a larger paper, which will be submitted to a high-impact NLP venue.
Important dates for the Workshop:
Workshop paper submission deadline (extended): July 3, 2025
Workshop paper acceptance notification: July 24, 2025
Workshop: October 10, 2025
Important dates for the Shared Task:
1st Deadline to contribute annotations: July 7, 2025
1st Annotations released (train split): July 14, 2025
Abstract Deadline: July 21, 2025
Decision Notification: July 24, 2025
Camera Ready Deadline: September 21, 2025
(All deadlines are 23:59 AoE.)
Organizers:
For any questions, please drop a mail to wmdqs-pcs(a)googlegroups.com
Program Chairs:
Pedro Ortiz Suarez (Common Crawl Foundation)
Sarah Luger (MLCommons)
Laurie Burchell (Common Crawl Foundation)
Kenton Murray (Johns Hopkins University)
Catherine Arnett (EleutherAI)
Organizing Committee:
Thom Vaughan (Common Crawl Foundation)
Sara Hincapié (Factored)
Rafael Mosquera (MLCommons)
We are pleased to announce MAHED 2025, the first multimodal shared task dedicated to Hope and Hate Detection in Arabic content. This novel multimodal challenge will be co-located with EMNLP 2025 at the ArabicNLP 2025 Conference.
MAHED 2025 addresses critical real-world challenges in Arabic natural language processing by focusing on the detection of hate speech, hope speech, and emotions in both Arabic text and memes. This shared task aims to advance research in ethical AI while addressing the linguistic diversity and dialectal variations inherent in Arabic content.
The shared task comprises three subtasks:
Task 1: Text-based Hope & Hate Speech Classification
Participants will develop models to classify Arabic text as containing hope speech, hate speech, or neutral content.
Task 2: Multitask Learning for Emotion, Offensive Content, and Hate Detection
This task involves simultaneous detection of emotions, offensive language, and hate speech in Arabic text.
Task 3: Multimodal Hateful Meme Detection
Participants will work with Arabic memes to detect hateful content using both textual and visual modalities.
Registration Links:
* Task 1: https://www.codabench.org/competitions/9136/
* Task 2: https://www.codabench.org/competitions/9166/
* Task 3: https://www.codabench.org/competitions/9192/
Important Dates:
* June 10, 2025: Training data and evaluation scripts released
* July 20, 2025: Final registration deadline and test set release
* July 25, 2025: Test submission deadline
* November 5-9, 2025: ArabicNLP 2025 Workshop at EMNLP 2025, Suzhou, China
Resources and Registration:
Website: https://marsadlab.github.io/mahed2025/
Dataset and Code: https://github.com/marsadlab/MAHED2025Dataset
*** Last Call for Papers ***
The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025)
November 13-14, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/ickg2025/
(*** Proceedings to be published by IEEE ***)
(*** Submission Deadline: July 4, 2025 AoE (extended and firm!) ***)
The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier
international forum for presentation of original research results in knowledge discovery and
graph learning, discussion of opportunities and challenges, as well as exchange and
dissemination of innovative, practical development experiences. The conference covers all
aspects of knowledge discovery from data, with a strong focus on graph learning and
knowledge graph, including algorithms, software, platforms. ICKG 2025 intends to draw
researchers and application developers from a wide range of areas such as knowledge
engineering, representation learning, big data analytics, statistics, machine learning, pattern
recognition, data mining, knowledge visualization, high performance computing, and World
Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to
address challenges in handling all aspects of learning from data with dependency relationship.
All accepted papers will be published in the conference proceedings by the IEEE Computer
Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student
Paper Runner up, will be conferred at the conference, with a check and a certificate for each
award. The conference also features a survey track to accept survey papers reviewing recent
studies in all aspects of knowledge discovery and graph learning. At least five high quality
papers will be invited for a special issue of the Knowledge and Information Systems Journal,
in an expanded and revised form. In addition, at least eight quality papers will be invited for a
special issue of Data Intelligence Journal in an expanded and revised form with at least 30%
difference.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
• Foundations, algorithms, models, and theory of knowledge discovery and graph learning
• Knowledge engineering with big data.
• Machine learning, data mining, and statistical methods for data science and engineering.
• Acquisition, representation and evolution of fragmented knowledge.
• Fragmented knowledge modeling and online learning.
• Knowledge graphs and knowledge maps.
• Graph learning security, privacy, fairness, and trust.
• Interpretation, rule, and relationship discovery in graph learning.
• Geospatial and temporal knowledge discovery and graph learning.
• Ontologies and reasoning.
• Topology and fusion on fragmented knowledge.
• Visualization, personalization, and recommendation of Knowledge Graph navigation and
interaction.
• Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy.
• Applications and services of knowledge discovery and graph learning in all domains
including web, medicine, education, healthcare, and business.
• Big knowledge systems and applications.
• Crowdsourcing, deep learning and edge computing for graph mining.
• Large language models and applications
• Open source platforms and systems supporting knowledge and graph learning.
• Datasets and benchmarks for graphs
• Neurosymbolic & Hybrid AI systems
• Graph Retrieval Augmented Generation
SURVEY TRACK
Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning.
In addition to the above topics, authors can also select and target the following Special Track
topics.
Each special track is handled by respective special track chairs, and the papers are also
included in the conference proceedings.
• Special Track 01: KGC and Knowledge Graph Building
• Special Track 02: KR and KG Reasoning.
• Special Track 03: KG and Large Language Model
• Special Track 04: GNN and Graph Learning
• Special Track 05: QA and Graph Database
• Special Track 06: KG and Multi-modal Learning.
• Special Track 07: KG and Knowledge Fusion.
• Special Track 08: Industry and Applications
SUBMISSION GUIDELINES
Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including
the bibliography and any possible appendices. Submissions longer than 8 pages will be
rejected without review. All submissions will be reviewed by the Program Committee based on
technical quality, originality, significance, and clarity. For survey track paper, please preface the
descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper
entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A
Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly
bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be
removed from the camera-ready copy.
For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is
the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph
Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should
be changed as “SS01: Incremental Knowledge Graph Learning”.
All manuscripts are submitted as full papers and are reviewed based on their scientific merit.
The reviewing process is single blind, meaning that each submission should list all authors and
affiliations. There is no separate abstract submission step. There are no separate industrial,
application, or poster tracks. Manuscripts must be submitted electronically in the online
submission system. No email submission is accepted. To help ensure correct formatting, please
use the style files for U.S. Letter as template for your submission. These include LaTeX and
Word.
SUBMISSION LINK
https://wi-lab.com/cyberchair/2025/ickg25/
IMPORTANT DATES
• Paper submission (abstract and full paper): July 4, 2025 (AoE) (extended and firm!)
• Notification of acceptance/rejection: September 5, 2025
• Camera-ready, copyright forms and author registration: September 20, 2025
• Early (non-author) registration: October 10, 2025
• Conference dates: November 13-14, 2025
ORGANISATION
Conference and Local Organising Chair
• George A. Papadopoulos, University of Cyprus
Conference Co-Chair
• Dan Guo, Hefei University of Technology
Program Chairs
• Cesare Alippi, Università della Svizzera italiana
• Shirui Pan, Griffith University
Local Organising Vice Chair
• Irene Kinlanioti, National Technical University of Athens
Finance Chair
• Constantinos Pattichis, University of Cyprus
Steering Committee Chair
• Xindong Wu, Hefei University Of Technology
*** NARNiHS 2026
*** North American Research Network in Historical Sociolinguistics
*** Eighth Annual Meeting
*** 100% IN PERSON
*** Co-Located with the Linguistic Society of America (LSA) Annual Meeting
*** New Orleans, Louisiana USA
*** 8-11 January 2026
This event offers an opportunity for historical sociolinguistics scholars from all over the world to gather and share leading research. We encourage our fellow historical sociolinguists and scholars in related fields from our global scholarly community to **join us in New Orleans** for our Eighth Annual Meeting.
Consult this Call for Abstracts on the web: https://narnihs.org/?page_id=3135 .
--------------- Call for Abstracts ---------------.
Abstract submission online:
https://easyabs.linguistlist.org/conference/NARNiHS_26/ .
Deadline: Friday, 15 August 2025, 11:59 PM US Eastern Time.
Late abstracts will not be considered.
The North American Research Network in Historical Sociolinguistics (NARNiHS) is accepting abstracts for its Eighth Annual Meeting in New Orleans, Thursday, January 8 -- Sunday, January 11, 2026. The 8th edition of this inclusive NARNiHS event seeks to provide a collaborative environment where presenters bring fully developed work for presentation and enrichment. We see the NARNiHS Annual Meeting as a place for showcasing excellent projects in historical sociolinguistics, seeking feedback from peers, and engaging in productive development of the field’s enduring questions.
NARNiHS welcomes papers in all areas of historical sociolinguistics, which is understood as the application and/or development of sociolinguistic theories, methods, and models for the study of historical language variation and change over time, or more broadly, the study of the interaction of language and society in historical periods and from historical perspectives. Thus, a wide range of linguistic areas, subdisciplines, methodologies, and adjacent disciplines easily find their place within historical sociolinguistics, and we encourage submission of abstracts that reflect this broad scope.
Abstracts will be accepted for both 20-minute papers and posters. Please note that, at the NARNiHS annual meeting, poster presentations are an integral part of the conference (not second-tier presentations). Abstracts will be assigned a paper or a poster presentation based on determinations in the review process about the most effective format for the submission. However, if you prefer that your submission be considered primarily for poster presentation, please specify this in your abstract.
Successful abstracts will demonstrate *thorough grounding* in historical sociolinguistics, *scientific rigor* in the formulation of research questions, and promise for rich discussion of ideas. Successful abstracts will be explicit about which *theoretical frameworks*, *methodological protocols*, and *analytical strategies* are being applied or critiqued. *Data sources and examples* should be sufficiently presented, so as to allow reviewers a full understanding of the scope and claims of the research. Please note that the *connection of your research to the field of historical sociolinguistics* should be explicitly outlined in your abstract. Failure to adhere to these criteria will likely result in rejection.
*** Abstract Format Guidelines***.
- Abstracts must be submitted in PDF format.
- Abstracts must fit on one 8.5x11 inch page, with margins no smaller than 1 inch and a font style and size no smaller than Times New Roman 12 point. You are encouraged to use the entire page, providing a full and robust description of the research. All additional supporting content (visualizations, trees, tables, figures, captions, examples, and references) must fit on a single (1) additional page. No exceptions to these requirements are allowed; abstracts longer than one page or with more than one additional page of supporting content will be rejected without review.
- Specify if you prefer your submission be considered primarily for a poster presentation.
- Anonymize your abstract. We realize that sometimes complete anonymity is not attainable, but there is a difference between the nature of the research creating an inability to anonymize and careless non-anonymizing (in citations, references, file names, etc.). Be sure to anonymize your PDF file (you may do so in Adobe Acrobat Reader by clicking on "File", then "Properties", removing your name if it appears in the "Author" line of the "Description" tab, and re-saving the file before submission). Do not use your name when saving your PDF (e.g. Smith_Abstract.pdf); file names will not be automatically anonymized by the EasyAbs system. Rather, use non-identifying information in your file name (e.g. HistSoc4Lyfe.pdf). Your name should only appear in the online form accompanying your abstract submission. Papers that are not sufficiently anonymized wherever possible will be rejected without review.
*** General Requirements ***.
- Abstracts must be submitted electronically using the following link: https://easyabs.linguistlist.org/conference/NARNiHS_26/ .
- Authors may submit a maximum of two abstracts: One single-author abstract and one co-authored abstract.
- Authors may not submit identical abstracts for presentation at the NARNiHS annual meeting and the LSA annual meeting or another LSA sister society meeting (ADS, ANS, NAHoLS, SCiL, SPCL, or SSILA).
- After submission, no changes of author, title, or wording of the abstract may occur. If your abstract is accepted, adjustment of typographical errors is permitted before a final version of the abstract is printed in the conference booklet.
- Papers and posters must be delivered as projected in the abstract or represent bona fide developments of the same research.
- Authors are expected to attend the conference in-person and present their own papers and posters. This will not be a hybrid event.
Contact us at NARNiHistSoc(a)gmail.com with any questions.
We invite you to submit your ongoing, published or pre-reviewed works to our workshop on Large Language Models for Cross-Temporal Research (XTempLLMs) at COLM 2025.
Our workshop website is available at https://xtempllms.github.io/2025/
*The deadline for submission has been extended to June 30, 2025 AOE*
Workshop Description:
Large language models (LLMs) have been used for a variety of time-sensitive applications such as temporal reasoning, forecasting and planning. In addition, there has been a growing number of interdisciplinary works that use LLMs for cross-temporal research in several domains, including social science, psychology, cognitive science, environmental science and clinical studies. However, LLMs are hindered in their understanding of time due to many different reasons, including temporal biases and knowledge conflicts in pretraining and RAG data but also a fundamental limitation in LLM tokenization that fragments a date into several meaningless subtokens. Such inadequate understanding of time would lead to inaccurate reasoning, forecasting and planning, and time-sensitive findings that are potentially misleading.
Our workshop looks for (i) cross-temporal work in the NLP community and (ii) interdisciplinary work that relies on LLMs for cross-temporal studies.
Cross-temporal work in the NLP community:
* Novel benchmarks for evaluating the temporal abilities of LLMs across diverse date and time formats, culturally grounded time systems, and generalization to future contexts;
* Novel methods (e.g., neuro-symbolic approaches) for developing temporally robust, unbiased, and reliable LLMs;
* Data analysis such as the distribution of pretraining data over time and conflicting knowledge in pretraining and RAG data;
* Interpretability regarding how temporal information is processed from tokenization to embedding across different layers, and finally to model output;
* Temporal applications such as reasoning, forecasting and planning;
* Consideration of cross-lingual and cross-cultural perspectives for linguistic and cultural inclusion over time.
Interdisciplinary work that relies on LLMs for cross-temporal studies:
* Time-sensitive discoveries, such as social biases over time and personality testing over time;
* Assessment of time-sensitive discoveries to identify misleading findings if any;
* Interdisciplinary evaluation benchmarks for LLMs’ temporal abilities, e.g., psychological time perception and episodic memory evaluation.
Submission Modes:
* Standard submissions: We invite the submission of papers that will receive up to three double-blind reviews from the XTempLLMs committee, and a final decision of acceptance from the workshop chairs.
* Pre-reviewed submissions: We invite unpublished papers that have already been reviewed either through ACL ARR, or recent AACL/EACL/ACL/EMNLP/COLING venues. These papers will not receive new reviews but will be judged together with their reviews via a meta-review from the workshop chairs.
* Published papers: We invite papers that have been published recently elsewhere to present at XTempLLMs. Please send the details of your paper (Paper title, authors, publication venue, abstract, and a link to download the paper) directly to xtempllms(a)gmail.com. This allows such papers to gain more visibility from the workshop audience.
All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”):
* June 30, 2025: Submission deadline (standard and published papers)
* July 18, 2025: Submission deadline for papers with ARR reviews
* July 24, 2025: Notification of acceptance
* October 10, 2025: Workshop day
Invited Speakers:
* Jose Camacho Collados, Cardiff University, United Kingdom
* Ali Emami, Brock University, Canada
* Alexis Huet, Huawei Technologies, France
* Bahare Fatemi, Google Research, Canada
* Vivek Gupta, Arizona State University, United States
Organizing Committee:
* Wei Zhao, University of Aberdeen, United Kingdom
* Maxime Peyrard, Université Grenoble Alpes & CNRS, France
* Katja Markert, Heidelberg University, Germany
[Apologies for cross-postings]
FIRST CALL FOR PAPERS
LREC 2026
Organised by the ELRA Language Resources Association
Palma, Mallorca, Spain
11-16 May 2026
The Fifteenth biennial Language Resources and Evaluation Conference
(LREC) will be held at the Palau de Congressos de Palma in Palma,
Mallorca, Spain, on 11-16 May 2026. LREC serves as the primary forum for
presentations describing the development, dissemination, and use of
language resources involving both traditional and recently developed
approaches.
The scientific program will include invited talks, oral presentations,
and poster and demo presentations, as well as a keynote address by the
winner of the Antonio Zampolli Prize. Submissions describing all aspects
of language resource development and use are invited, including, but not
limited to, the following:
Language Resource Development
Methods and tools for mono- and multi-lingual language resource
development and annotation
Knowledge discovery/representation (knowledge graphs, linked data,
terminologies, lexicons, ontologies, etc.)
Resource development for less-resourced/endangered languages
Guidelines, standards, best practices, and models for interoperability
Language Resource Use
Use of language resources in systems and applications for any area
of language and speech processing
Use of language resources in assistive technologies, support for
accessibility
Efficient/low-resource methods for language and speech processing
Evaluation
Methodologies and protocols for evaluation and benchmarking of
language technologies
Measures for validation of language resources and quality assurance
Usability of user interfaces and dialogue systems
Bias, safety, and user satisfaction metrics
Interpretability/explainability of language models and language and
speech processing tools
Language Resources and Large Language Models
Language resource development for LLMs (monolingual, multilingual,
multimodal)
(Semi-)automatic generation of training data
Training, fine-tuning, adaptation, alignment, and representation
learning
Guardrails, filters, and modules for generative AI models
Policy and Organizational Considerations
International and national activities, projects, initiatives, and
policies
Language coverage and diversity
Replicability and reproducibility
Organisational, economic, ethical, climate, and legal issues
Separate calls will be issued for Workshops, Tutorials and Industry Track.
Submission
Submissions should be 4 to 8 pages in length (excluding references) and
follow the LREC stylesheet, which will soon be available on the
conference website.
At the time of submission, authors are offered the opportunity to share
related language resources with the community. All repository entries
are linked to the LRE Map [https://lremap.elra.info/], which provides
metadata for the resource.
Accepted papers will appear in the conference proceedings, which include
both oral and poster papers in the same format. Determination of the
presentation format (oral vs. poster) is based solely on an assessment
of the optimal method of communication (more or less interactive), given
the paper content.
Important dates
(All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”)
Oral and poster (or poster+demo) paper submission: 17 October 2025
Notification of acceptance: 13 February 2026
Camera Ready due: 6 March 2026
Workshop and tutorial proposals submission: 17 October 2025
LREC 2026 conference: 11-16 May 2026
More information on LREC 2026: https://lrec2026.info/
Contact: info(a)lrec2026.info
The First Workshop on Optimal Reliance and Accountability in Interactions
with Generative Language Models (*ORIGen*) will be held in conjunction
with
the Second Conference on Language Modeling (COLM) at the Palais des
Congrès
in Montreal, Quebec, Canada, on October 10, 2025!
*The deadline for submission has been extended to June 27, 2025, Anywhere
on Earth.*
With the rapid integration of generative AI, exemplified by large language
models (LLMs), into personal, educational, business, and even governmental
workflows, such systems are increasingly being treated as “collaborators”
with humans. In such scenarios, underreliance or avoidance of AI
assistance
may obviate the potential speed, efficiency, or scalability advantages of
a
human-LLM team, but simultaneously, there is a risk that subject matter
non-experts may overrely on LLMs and trust their outputs uncritically,
with
consequences ranging from the inconvenient to the catastrophic. Therefore,
establishing optimal levels of reliance within an interactive framework is
a
critical open challenge as language models and related AI technology
rapidly
advances.
* What factors influence overreliance on LLMs?
* How can the consequences of overreliance be predicted and guarded against?
* What verifiable methods can be used to apportion accountability for the
outcomes of human-LLM interactions?
* What methods can be used to imbue such interactions with appropriate
levels
of “friction” to ensure that humans think through the decisions they make
with LLMs in the loop?
The ORIGen workshop provides a new venue to address these questions and
more
through a multidisciplinary lens. We seek to bring together broad
perspectives from AI, NLP, HCI, cognitive science, psychology, and
education
to highlight the importance of mediating human-LLM interactions to
mitigate
overreliance and promote accountability in collaborative human-AI
decision-making.
Submissions are due *June 27, 2025*. Please see our call for papers [1]
for
more!
[1] https://origen-workshop.github.io/submissions/
Organizers:
- Nikhil Krishnaswamy, Colorado State University
- James Pustejovsky, Brandeis University
- Dilek Hakkani-Tür, University of Illinois Urbana Champaign
- Vasanth Sarathy, Tufts University
- Tejas Srinivasan, University of Southern California
- Mariah Bradford, Colorado State University
- Timothy Obiso, Brandeis University
- Mert Inan, Northeastern University
Dear colleagues,
EUSKORPORA, a newly created Linguistic Data Center for Basque digital technologies based in San Sebastián (Donostia), Spain, is seeking candidates for two key roles in its Technology area:
1) Senior AI and Language Technologies Specialist
2) Junior AI and Language Technologies Specialist
Both positions are part of the Center's mission to position the Basque language in the global digital space through open-source development and cutting-edge research.
=== SENIOR AI AND LANGUAGE TECHNOLOGIES SPECIALIST ===
EUSKORPORA, the Linguistic Data Center for Basque Digital Technologies, a new association based in Donostia/San Sebastián, is seeking a senior expert in AI technologies applied to natural language processing, with experience, to lead key tasks related to language technologies applied to the Basque language.
The selected person will be part of an interdisciplinary team and will participate in projects involving the collection, analysis, and annotation of linguistic data, as well as the development of open-source foundational language models (ASR, TTS, MT, NLP) oriented to Basque, in a research and development context closely connected to industry.
Responsibilities:
- Supervise and optimize processes for linguistic corpus collection, annotation, and management
- Lead the design and development of foundational language models applied to Basque (speech recognition, synthesis, translation, text processing, etc.)
- Contribute to the technological architecture of the Center
- Coordinate internal and external teams and mentor junior staff
- Identify innovation opportunities and contribute to proposals, reports, and dissemination
- Establish strategic relationships with ecosystem stakeholders
Requirements:
- Advanced degree (Master or PhD) in Computational Linguistics, NLP, AI, Computer Engineering, Data Science or related fields
- Minimum 5 years of experience in language or speech technologies
- Proven experience with ASR, TTS, MT, or NLP models
- Strong programming skills in Python and familiarity with frameworks such as Hugging Face, PyTorch, TensorFlow, spaCy, Kaldi, ESPnet, Fairseq
- Knowledge of MLOps, Git, and data science best practices
- Familiarity with open repositories and licensing
Languages:
- Basque: desirable, intermediate level (B2 or higher)
- Spanish: fluent
- English: high level (especially technical)
We offer:
- Participation in strategic national and international projects
- Competitive salary according to experience
- Interdisciplinary environment and opportunities for professional growth
=== JUNIOR AI AND LANGUAGE TECHNOLOGIES SPECIALIST ===
EUSKORPORA, the Linguistic Data Center for Basque Digital Technologies, a new association based in Donostia/San Sebastián, is seeking young professionals at the beginning of their careers to support key tasks related to the creation of linguistic resources and language technologies for the Basque language.
Selected individuals will join an interdisciplinary team and participate in projects involving the collection, annotation, and analysis of linguistic data, as well as the development of open-source foundational language models (ASR, TTS, MT, NLP) oriented to Basque, in a research and development context closely connected to industry.
Responsibilities:
- Support the collection, cleaning and annotation of linguistic corpora (text and audio)
- Assist in the training and evaluation of language and speech models
- Collaborate in the documentation and maintenance of language resources
- Contribute to the integration of open-source NLP tools and libraries
- Assist in reports and dissemination activities
- Work in coordination with technical, linguistic and project management profiles
Requirements:
- Degree or Master in Computational Linguistics, Computer Engineering, Data Science, or similar
- Basic knowledge of NLP, language models, or speech technologies
- Python programming (basic/intermediate level)
- Familiarity with linguistic annotation or text processing tools
- Experience with Git and frameworks like Hugging Face or spaCy is a plus
Languages:
- Basque: high level (B2 or higher)
- Spanish: fluent
- English: high level (B2 or higher)
We offer:
- Dynamic and innovative environment based in San Sebastián
- Continuous training in cutting-edge technologies
- Real opportunities for growth within the team
- Competitive salary according to training and experience
For further information or to apply, please contact:
info(a)euskorpora.eus
Best regards,
EUSKORPORA
[Euskorpora]<https://www.euskorpora.eus/>
Euskorpora
info(a)euskorpora.eus<mailto:sarregi@euskorpora.eus>
+(34) 611 02 81 72
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