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CFP Reminder: International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026)
by Constantin Orasan 24 Apr '26

24 Apr '26

International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026) Dubrovnik, Croatia, 24-27 June 2026 https://nettt-conference.com<https://nettt-conference.com/> Final Reminder *** Submission deadline 27 April 2026 *** The third edition of the International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026) will take place in Dubrovnik, Croatia from 24 to 27 June 2026. The objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation and interpreting studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTIT’2026 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures. The conference will include plenary presentations (research and user presentations, keynote speeches), poster sessions and panel discussions. All submitted papers will be peer-reviewed by experts, and the accepted papers will be published as open-access conference e-proceedings which will be available at the time of the conference. The proceedings will be included in the prestigious ACL anthology<https://aclanthology.org/>. While the conference is primarily intended as an on-site event, in light of the current global circumstances and in response to requests received, provisions will be made for remote presentations in cases where participants are unable to travel for justified reasons. If circumstances prevent you from meeting the submission deadline, please contact the organisers as early as possible as we may be able to grant short extensions. Full details of the call and how to submit papers are available on the conference website: https://nettt-conference.com<https://nettt-conference.com/> -- Prof Constantin Orăsan Professor of Language and Translation Technologies Room 06LC03, Phone extension: 4115 Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies>, University of Surrey Third Floor | Library | University of Surrey | Guildford | Surrey | GU2 7XH Phone: +44 (0) 1483 684115 Personal page: https://www.surrey.ac.uk/people/constantin-orasan

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One postdoc position in NLP/CL at University of Technology Nuremberg
by Michael Roth 24 Apr '26

24 Apr '26

The Natural Language Understanding Lab at UTN in Nuremberg [1], Germany, invites applications for a full-time postdoctoral research position (A13/E13 on the German TV-L scale). The position is based in the Department Computer Science & Artificial Intelligence and will be available from 1 July 2026 for an initial period of three years. The position is part of an award-winning research group focusing on implicit and underspecified language, background knowledge in language understanding as well as biases in data, tasks and models. The successful applicant will have the opportunity to develop their own research agenda, support ongoing research and teaching in the group, and collaborate with other groups at the university, including colleagues from the Department Liberal Arts & Social Sciences. Applicants should have a completed PhD in Natural Language Processing or Computational Linguistics as well as a track record of publications in *ACL venues, with a particular interest in semantics and/or pragmatics. They should be able to work in a team and communicate in English (German proficiency is not required). Applications should include a motivation letter outlining a proposed research agenda, a CV, a list of publications, and contact information for one or two references. Please submit all materials _as a single PDF file_ to nlu(a)utn.de. Applications received by 15 May 2026 will receive full consideration, but the position will remain open until filled. Candidates who identify as female, trans* and/or non-binary are particularly encouraged to apply. Feel free to contact michael.roth(a)utn.de for any questions regarding the group or position! [1] https://www.utn.de/en/departments/department-computer-science-artificial-in… --- Prof. Michael Roth [he/him] Natural Language Understanding Lab University of Technology Nuremberg Technische Universität Nürnberg

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MIAI–PRAIRIE Online Seminar: LLMs and the Study of Language, Mind, and Society
by Thierry Poibeau 23 Apr '26

23 Apr '26

LLMs and the Study of Language, Mind, and Society As part of the MIAI–PRAIRIE seminar series, organized by Caroline Rossi (Université Grenoble Alpes / MIAI) and Thierry Poibeau (ENS–PSL / PRAIRIE–PSAI). Online, with no registration LLMs have profoundly transformed the way research is conducted and develops across a wide range of disciplines, including linguistics, philosophy, psychology, and the social sciences. Beyond their technical performance, these systems raise new questions about language, cognition, interpretation, and the production of knowledge itself. This new online seminar, jointly organized by Caroline Rossi (U. Grenoble Alpes / MIAI) and Thierry Poibeau (ENS-PSL / Prairie-PSAI) aims to explore recent research in these areas. It will provide a forum for discussing both empirical and theoretical work, bringing together perspectives from different fields to better understand the implications of LLMs for the study of language and mind. The seminar also seeks to foster dialogue between researchers who use these models in practice and those who critically examine their assumptions, limitations, and broader impact. The first speaker will be Steven Piantadosi, from Berkeley. The next speakers will include Adele Goldberg (Princeton), Eloïse Boisseau (AMU, Marseille), and Dallas Card (U. Michigan). The seminar will take place approximately once a month. The full schedule for the coming months will be announced shortly. ---- *** Monday 27 April, 5pm (French time), online (free access, no registration) *** Connexion link: https://webinaire.numerique.gouv.fr/meeting/signin/invite/78275/creator/433… *** Neuroscience, behavior, and what's in-between, *** Steven T. Piantadosi, UC Berkeley (Psychology) & Helen Wills Neuroscience Institute I'll present an overview of a forthcoming book about how we can link neuroscience to cognition and behavior. Drawing on several little-known results in early computer science, I'll describe how patterns in behavior can rigorously imply the existence of particular unobserved states and structures. This provides a foundation for linking behavioral regularities to what must be present in neural implementations. The resulting states are often re-describable in abstract terms more familiar to cognitive science, like "sets", "numbers", "stacks", etc. I'll highlight the implementation of "stacks", commonly used for grammars, and show how to characterize the space of possible neural implementations, including with subsystems/circuits operating in serial and parallel. The approach provides a set of concrete hypotheses, a guide for neural data analysis, and points towards a method for understanding structure in modern AI systems, including LLMs. I'll conclude by suggesting a Marr-like framework in which the bridges between levels can be made rigorous, connecting behavior, high-level theorizing, and neural implementation. Steven T. Piantadosi is a professor at UC Berkeley in Psychology and the Helen Wills Neuroscience Institute, where he heads the Computation and Language Lab. He has a PhD from MIT in Brain and Cognitive Sciences and undergraduate degrees in mathematics and linguistics. His work spans neural and cognitive research, with a focus on understanding how children come to know language, math, and abstract concepts. He often uses computational methods, including machine learning, cognitive modeling, mathematical analysis, and Bayesian data analysis. His research methods also include anthropological fieldwork, experimental work with children, and collaboration to study non-human primates and human neuroscience.

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CfP : Topical quiz generation shared task at CLEF 2026
by DIANDRA FABRE 22 Apr '26

22 Apr '26

CfP : Evaluation lab for generative language model quality - Topical quiz generation shared task at CLEF 2026 We hereby invite you to participate in the shared task on Topical Quiz Generation, one of the four tasks of the ELOQUENT track at CLEF. Can your generative language model, given a textual stimulus, generate relevant, diverse, and pedagogically meaningful quiz questions and answers? The task focuses on generating Question–Answer items inspired by the PISA framework, targeting students aged 10–15 The goal is simple: produce questions that meaningfully engage with the text and reflect different levels of understanding. This is an open and accessible task: use your favorite model, improve prompting strategies, and submit multiple experimental variations to explore what improves your model’s performance. Submit multiple experimental variations to discover what works best! Submissions will be evaluated in cooperation with the OECD, organiser of the PISA test. And there is more! There are three other tasks in ELOQUENT! - Topical quiz question scoring: can your generative language model score responses to topical quiz questions (such as the ones generated in this task)? - Voight-Kampff: does your language model produce human-like text? Can it fool a classifier? Generate text to be matched against human-authored texts in a classification experiment! (You may also submit classifiers through the PAN lab, also at CLEF) - Cultural Robustness and Diversity: how does your language model take cultural context into account? Will it give the same response in every language? Details ======= Find out more: [ https://eloquent-lab.github.io/ | https://eloquent-lab.github.io/ ] Register for the tasks: Contact: [ mailto:eloquent-clef2026-organizers@googlegroups.com | eloquent-clef2026-organizers(a)googlegroups.com ] Important Dates =============== 2026, April 23: Registration closes - register now if you haven't already! 2026, May 07: Experiment submission deadline 2026, May 20: Participant paper submission 2026, June 2: Notification of acceptance 2026, June 23: Paper Camera Ready Submission 2026, Sept 21-24: CLEF Conference in Jena, Germany with Eloquent Workshop Organisers of the Topical quiz generation task ==================================================== Sarah Bouaraba, Said Ettejjari, Diandra Fabre, Lorraine Goeuriot, Jussi Karlgren, Philippe Mulhem, Mario Piacentini, Didier Schwab, Katherina Thomas, Markarit Vartampetian, Luis Francisco Vargas Madriz

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Associate/Full Professor position at NTU Singapore
by Byung-Doh Oh 22 Apr '26

22 Apr '26

(With apologies for cross-posting) The Division of Linguistics and Multilingual Studies (LMS) at Nanyang Technological University (NTU), Singapore, offers a vibrant and interdisciplinary environment for the study of language in its structural, social, cognitive, and technological dimensions. We focus on multilingualism in an Asian/Southeast Asian context. We are internationally recognized for our research on multilingualism, language diversity, and the interface between linguistics and technology. LMS invites applications for faculty appointments at the rank of Associate Professor or Professor (with tenure). We welcome applications in any field of Linguistics. Applicants with demonstrated research experience in languages in the Asia-Pacific area, encompassing Southeast Asia, are especially encouraged to apply. Interest in contributing to NTU’s growing focus on digital humanities and AI-driven language research will be an advantage. The closing date for this application is 15 July 2026. For further information, please refer to this job posting<https://apply.ap1.interfolio.com/119095>. Questions about the position may be addressed to the chair of the search committee at lms-search(a)ntu.edu.sg. ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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3 PhD Scholarships at Marburg University in the Project Human-in-Control: Implementing employee co-determination in the design, development, and deployment of artificial intelligence
by daniel.braun＠uni-marburg.de 22 Apr '26

22 Apr '26

We have three PhD scholarships available in the NLP research group at Marburg University within the newly established junior research group "Human-in-Control: Implementing employee co-determination in the design, development, and deployment of artificial intelligence". The project, funded by the Hans Böckler Foundation, aims to investigate how to move from human-in-the-loop towards human-in-control in AI systems, with a particular focus on employee participation, system design, and workplace impact. Research topics include (but are not limited to): - Integrating employee perspectives into AI system design (e.g., requirements engineering) - Technical approaches to strengthen human oversight and control in NLP/AI systems - Organizational processes to improve job quality and worker influence in AI-supported environments Details: - Start: between November 2026 and February 2027 - Duration: 3 years - Location: Marburg, Germany - Language: English or German - Application deadline: May 2, 2026 For full details and application instructions, please see: https://responsible-nlp.net/nfg/

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[2nd CFP] LM Playschool Workshop at EMNLP 2026 —Shared Task Starter Kit Release
by Sabrina McCallum 22 Apr '26

22 Apr '26

Call for Participation: LM Playschool (LMP 2026) Improving Language Models through Learning from Dialogue Interaction Co-located with EMNLP 2026 — 24-29 October 2026, Budapest Website: https://lm-playschool.github.io/ NEW! Starter Kit: https://github.com/lm-playpen/playpen The LM Playschool Workshop (LMP 2026) invites submissions exploring the frontier of language agents that learn and adapt through situated interaction. Following our first announcement, we are excited to issue this second call and officially release the challenge Starter Kit. 📝 SUBMISSION TRACKS We welcome either long or short submissions for the following tracks: 1. Challenge track: Technical reports for the LM Playschool challenge (archival). 2. Paper-only track: Work-in-progress (archival or non-archival) or recently published papers (non-archival). 🏆 CHALLENGE TRACK (SHARED TASK) The shared task focuses on post-training LLMs to master communicative skills in unseen dialogue games while retaining original language capabilities. Participants are free to choose any base model; evaluation is based on improvement relative to that base model on an unseen test set. Sign up here: https://forms.gle/fhpXPH5kZk4psPXp9 🛠️ THE STARTER KIT (NEW!): To support participants in the LM Playschool Challenge, we have released "Playpen," a sandbox designed to bridge the gap between interaction and training. Whether you are interested in Reinforcement Learning (RL), Supervised Fine-Tuning (SFT), or zero-shot evaluation, Playpen simplifies the workflow so you can focus on the science. Key features include: * Comprehensive Evaluation: A single command to get your "clemscore" (interactive competence) and "statscore" (classic benchmarks). * Training Recipes: Example scripts for SFT and GRPO (Group Relative Policy Optimization) to help models learn from game-state success. * Resource Friendly: We encourage using the Qwen3.5 family (0.8B to 27B) to ensure participation is possible with modest compute. 🎯PAPER-ONLY TRACK: TOPICS OF INTEREST We welcome original research and work-in-progress on: * Architectures and training regimes for interactive agents. * Intrinsic rewards and learning signals (RL from game-state success). * Benchmarking via dialogue games. * Data efficiency and social interaction. * Social cognition and Theory of Mind in interactive systems. * Human-agent collaboration and coordination. * Embodied interactive agents. * Communicative and perceptual grounding. 📅 IMPORTANT DATES * Starter pack released! Available on Github: https://github.com/lm-playpen/playpen * ARR paper submission deadline: May 25, 2026 * Challenge submission deadline: July 10, 2026 * Direct paper submission deadline: July 17, 2026 * Notification of acceptance: August 20, 2026 * Camera ready due: September 20, 2026 * Workshop at EMNLP 2026: October 24-29, 2026 (Budapest) For more information, visit our website: https://lm-playschool.github.io/ We look forward to your submissions! The LMP 2026 Organizing Committee: Raffaella Bernardi, Raquel Fernández, Mario Giulianelli, Sherzod Hakimov, Alexander Koller, Dieu-Thu Le, Oliver Lemon, Davide Mazzaccara, Sabrina McCallum, David Schlangen, Alessandro Suglia.

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Postdoctoral Researcher in Computational and Experimental Linguistics, Heinrich-Heine-Universität Düsseldorf
by David Arps 22 Apr '26

22 Apr '26

Job Location: *Düsseldorf, Germany* Web Address: https://www.ling.hhu.de/ Job Title: *Postdoctoral Researcher in Computational and Experimental Linguistics* Job Rank: Post Doc Salary: TV-L E13 (100%) Minimum Education: PhD Specialty Areas: Computational Linguistics; Pragmatics; Psycholinguistics; Semantics Specialty Language(s): English (eng) *Project Description*: The position is part of the DFG-funded project Learning Linguistic Inferences and Their Alternatives (PIs: Jacopo Romoli and Yulia Zinova, Heinrich-Heine-Universität Düsseldorf). The project investigates how language models learn linguistic inferences — including implicatures, presuppositions, implicated presuppositions, free choice, and distributive inferences — and whether training on one inference type facilitates learning of others. Combining theoretical, experimental, and computational methods, the project addresses foundational questions about the semantics–pragmatics interface and what language models actually learn about meaning. The project involves constructing novel datasets, running behavioral experiments with human participants, probing inference derivation and its ingredients in both humans and language models as well as training and fine-tuning models using collected data. Broader context: LaSTing Priority Programme This position is embedded within the DFG Priority Programme LaSTing (SPP 2556): "Robust Assessment & Safe Applicability of Language Modeling: Foundations for a New Field of Language Science & Technology" (https://www.lasting-spp.org) LaSTing brings together researchers across linguistics, cognitive science, and language technology to advance our understanding of language models for safer and more principled use, especially in the language sciences. The programme fosters interdisciplinary community-building, networking, and the training of a new generation of researchers at the interface of language science and language technology. *Position Description*: We invite applications for a full-time Postdoctoral Researcher (3 years) to join the project team. The postdoc will play a central role across the project's work packages, contributing to the computational components of the project as well as to the design and implementation of online behavioral experiments, dataset construction, and data analysis. The postdoc will also contribute to the writing and dissemination of research outputs, and will collaborate closely with both PIs and with Mercator Fellow Paul Marty (University of Lisbon). *Required Qualifications*: - PhD in Linguistics or a closely related field - Expertise in computational linguistics - Ability to engage with both the experimental and computational aspects of the project *Desirable Qualifications*: - Experience with experimental methods in psycholinguistics - Background in formal semantics and pragmatics and familiarity with formal approaches to pragmatic inferences - Experience working with large language models (LLMs) - Familiarity with natural language inference (NLI) tasks and datasets *Application* Deadline: 18-May-2026 Email Address for Applications: jacopo.romoli(a)hhu.de Application Instructions: Applicants should send the following to jacopo.romoli(a)hhu.de: - A CV - A cover letter describing their research profile and interests, explaining how these match the goals of the project and what they could contribute to it - Informal inquiries are also welcome at the same address. Contact Information: Jacopo Romoli Email: jacopo.romoli(a)hhu.de -- David Arps Institut für Linguistik, Abteilung Computerlinguistik Gebäude 23.21. Etage 04 Raum 101 Heinrich-Heine-Universität Duesseldorf Universitaetsstr. 1 D-40225 Duesseldorf, Germany https://davidarps.github.io/

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Efficient Multimodal Question Answering (EMM-QA) @ICML 2026
by Jordan Boyd-Graber Ying 21 Apr '26

21 Apr '26

The ICML 2026 Workshop on Efficient Multimodal Question Answering (EMM-QA) invites submissions on methods, resources, evaluations, and systems for question answering over multimodal inputs under realistic resource constraints. The workshop focuses on balancing answer quality with efficiency in modern QA systems, especially in the age of large language models. *Website and Contact* - Contact email: emm-qa-organizers(a)googlegroups.com - Workshop website: https://qanta-org.github.io/competition/2026/icml/ Please check the workshop website for updates (current keynotes: Sewon Min and Mrinmaya Sachan), submission instructions, FAQs, and final shared-challenge details. *Important Dates* All deadlines are *Anywhere on Earth (AoE)*. Paper Track - *Submission deadline: May 29, 2026* - Review deadline: June 7, 2026 - Notification date: June 10, 2026 - Camera-ready deadline: June 22, 2026 Shared Challenge - Warmup data release: May 22, 2026 - Test data release: June 1, 2026 - Challenge metric / scoring feedback deadline: June 1, 2026 - *Last system submission: June 15, 2026* - System Description Paper Submission: June 22, 2026 - In-person human competition: June 27, 2026 - Online human competition: June 28, 2026 Workshop Date and Venue - Workshop date: July 10 or July 11, 2026 *(final date to be confirmed by ICML)*, The COEX Convention and Exhibition Center, Seoul, South Korea *Topics of Interest* We welcome submissions on topics including, but not limited to: - large language models for question answering - open-domain QA under resource constraints - efficient retrieval and answer lookup - multimodal question answering - synthetic data generation for efficient QA - balancing accuracy against model and system size - token-efficient and compute-efficient QA systems - multimodal retrieval and reasoning for QA - benchmarking and evaluation for efficient multimodal systems - human verification and evaluation of QA outputs - efficiency in human-computer interaction - efficient inference for knowledge-intensive multimodal tasks - system descriptions, negative results, and position papers relevant to efficient QA The scope is intentionally *medium-broad*: the workshop is centered on efficient multimodal QA, while also welcoming closely related work on multimodal retrieval, reasoning, evaluation, and benchmarking when clearly connected to QA or other knowledge-intensive multimodal tasks. *Guidelines for Submission* Submission Categories We invite the following types of submissions: - full papers - short papers - position papers - system description papers - previously published or recently accepted work as non-archival submissions Papers accepted at ICML 2026 may be submitted as *fast-track submissions*. Fast-track submissions must include the acceptance decision and reviews from ICML. They will still be evaluated by the Area Chairs (ACs) and Program Chairs (PCs) for thematic fit. We do not plan to accept extended abstracts or poster-only submissions without a paper. Formatting - Submission platform: OpenReview <https://openreview.net/group?id=ICML.cc/2026/Workshop/EMM-QA#tab-recent-act…> - Review model: double-blind - Paper format: ICML style - Full paper length: up to 8 pages of main content - References: excluded from the page limit - Appendices: excluded from the page limit - Supplementary material: allowed and may be considered during review Review Process - Each submission will receive 3 reviews - Reviews will consider novelty, relevance to the workshop, clarity, technical quality, and discussion value - Preliminary but promising work is welcome - Desk rejection is possible for submissions that are out of scope, non-anonymized, or non-compliant Archival Policy Submissions in both categories may be *archival* or *non-archival*, based on the preference of the authors. All archival papers will be published in the workshop proceedings. Non-archival papers may be submitted to any venue in the future, and we will only link to a preprint if the authors provide such a link. All accepted submissions are expected to appear publicly on: - OpenReview - the workshop website Camera-ready versions will be required for accepted archival submissions. Archival submissions The following submissions are eligible to be archival: - newly submitted workshop papers - newly submitted system description papers Non-archival submissions The following submissions are non-archival: - previously published papers - recently accepted conference papers - papers accepted to the main conference and presented again at the workshop - work currently under review elsewhere - any submission explicitly designated as non-archival Non-archival submissions are welcome for presentation and discussion at the workshop, but they will not be published in proceedings of the workshop. Conflict of Interest Policy Workshop organizers will not submit papers. Program committee members and reviewers may submit papers, but they may not review, handle, or make decisions on submissions for which they have a conflict of interest. Conflicts include recent collaboration, shared institutional affiliation, advisor-advisee relationships, family or close personal relationships, or any other circumstance that could impair objective judgment. Conflicted submissions will be handled by non-conflicted organizers and reviewers. *About the Shared Challenge* EMM-QA 2026 will host the *QANTA 2026 shared challenge*, a multimodal quiz bowl competition on efficient question answering with incrementally revealed clues. In QANTA 2026, systems answer pyramid-style questions from streaming text and, for some questions, accompanying images. For computer teams, the core task is to decide when to buzz, produce an answer, and express confidence under realistic efficiency constraints. The challenge is closely aligned with the workshop’s focus on efficient multimodal question answering, retrieval, reasoning, and evaluation. The shared challenge includes both *computer-team submissions* and related *live human competition* events. The key challenge deadlines listed above are the *warmup data release*, *test data release*, *challenge metric / scoring feedback deadline*, *last system submission*, and *system description paper submission*. The live human competition will take place on *June 27, 2026* (in person) and *June 28, 2026* (online). Detailed task definitions, rules, scoring, technical requirements, and participation instructions are available on the following pages: - Computer Teams <https://qanta-org.github.io/competition/2026/computer-teams/> — how to build and submit systems - Human Teams <https://qanta-org.github.io/competition/2026/human-teams/> — how to register for the live human competition - Rules overview <https://qanta-org.github.io/competition/2026/rules/> — high-level competition structure - Computer rules <https://qanta-org.github.io/competition/2026/rules/computer/> — official rules for submitted systems and leaderboard scoring - Human rules <https://qanta-org.github.io/competition/2026/rules/human/> — official rules for live human–AI gameplay - Prizes and awards <https://qanta-org.github.io/competition/2026/prizes/> — prizes across competition tracks Thanks, and we hope to see you participate! -Jordan Boyd-Graber (on behalf of Ikuya, Martin, Chen, and George) -- ---------------------------------------------------------- Jordan Boyd-Graber Professor University of Maryland: CS,UMIACS, LSC, INFO Voice: 920.524.9464 jbg(a)umiacs.umd.edu http://boydgraber.org ----------------------------------------------------------

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How Are Researchers Using LLMs? Participate in Our Research Survey
by Ansgar Scherp 21 Apr '26

21 Apr '26

We invite you to participate in our survey “Investigating the Use of Large Language Models in Academic Research and Coding (LLM-ARCo)”🤖📚 The goal of this study is to better understand how researchers use large language models in their academic work. The survey takes approximately 15 minutes⏱️. All responses are anonymous🔒, and the data will be used only for research purposes. As a small thank-you, 10 participants will be randomly selected🎁 to receive a €50 Amazon voucher💶. You can participate here:👉https://www.surveymonkey.com/r/RYBRXQL <https://www.surveymonkey.com/r/RYBRXQL> Please feel free to share this invitation with colleagueswho might be interested 🔁👩‍🔬👨‍💻.Thank you very much for supporting our research! ❤️ On behalf of Dr. Younes, Ansgar

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