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[First CFP] CHOMPS Workshop colocated with EACL 2027
by Aman Sinha 13 Oct '26

13 Oct '26

CHOMPS – Second Workshop on Confabulation, Hallucinations, & Overgeneration in Multilingual & Precision-critical Scenarios (with our apologies for cross-posting) Venue: EACL 2027 (https://2027.eacl.org/), Athens, Greece Date: 9-14th March 2027 (TBC) Workshop website: https://chomps-workshop.github.io/ * Description * Large Language Models (LLMs) are becoming increasingly integrated into our everyday lives, but their tendency to produce hallucinations remains a major obstacle to their reliable use. LLMs frequently generate confident-sounding falsehoods that can be costly to verify, while their probabilistic nature makes preventing ungrounded outputs particularly challenging. These behaviors undermine trust, especially in precision-critical domains and under-resourced languages. Developing solutions that account for the diverse contexts in which LLMs are deployed is therefore essential to building more reliable and inclusive language technologies. The second iteration of the CHOMPS workshop will continue fostering discussion on hallucinations, confabulations, and overgeneration in LLMs, bringing together researchers and practitioners to explore their causes, consequences, and potential mitigation strategies. This year, we particularly welcome work on hallucination detection, output controllability and the mitigation of overgeneration, and factual alignment in multilingual and high-risk applications, with a special emphasis on challenges in the medical domain. Our goal is to bridge empirical research and real-world needs, advancing language technologies that are both trustworthy and fit for purpose. * Workshop topics * We invite submissions on, but not limited to, the following topics: - Metrics, benchmarks, and tools for hallucination detection - Factuality challenges in precision-critical and domain-specific applications, particularly medical, legal, and biotech settings - Hallucination mitigation strategies during inference and model training - Output controllability and approaches to reducing overgeneration - Hallucinatory and confabulatory behaviors in cross-lingual and multilingual settings - Factual alignment and reliability in under-resourced languages - Hallucinations in language and multimodal models (vision, text, and speech) - Medical-domain hallucinations, their evaluation, and their real-world consequences - Perspectives and case studies from other disciplines * Invited speakers * - Isabelle Augenstein, University of Copenhagen, Denmark - Iacer Calixto, University of Amsterdam, Netherlands * Submission details * The workshop is designed with a widely inclusive submission policy so as to foster as vibrant a discussion as possible. - Archival or non-archival submissions may consist of up to 8 pages (long) or 4 pages (short) of content. - Dissemination submissions may consist of up to 1 page of content. On acceptance, authors may add one additional page to accommodate changes suggested by the reviewers. Please use the ACL style templates available here: https://github.com/acl-org/acl-style-files The submissions need to be done in PDF format via: (a) via Direct submission (TBA) (b) via ARR commitment (TBA) * Shared Task: SHROOM-Visions 2.0 * Building on the success of SHROOM-Visions at UncertaiNLP 2026<https://helsinki-nlp.github.io/shroom/2026>, SHROOM-Visions 2.0 is coming to EACL 2027, co-located with CHOMPS! This edition poses a key question: Can your hallucination detector generalize to entirely unseen languages and domains? More details will follow soon. To participate, please register here: https://forms.gle/h2BfwdCFawDNCMNQ6 Visit the official CHOMPS website<https://chomps-workshop.github.io/> for more updates! * Important dates * First call for papers: October 13, 2026 Second call for papers: November 13, 2026 Paper submission deadline: December 15, 2026 Direct ARR commitment: December 22, 2026 Author notification: January 5, 2027 Camera-Ready due: January 19, 2027 Workshop date: March 9-14, 2027 (TBC) * Contact * For questions, please send an email to chomps-eacl2027(a)googlegroups.com<mailto:chomps-eacl2027@googlegroups.com> or contact one of the workshop chairs: - Aman Sinha, Université de Genève, aman.sinha(a)unige.ch<mailto:aman.sinha@unige.ch> - Chuyuan Li, University of Grenoble-Alps, chuyuan.li(a)univ-grenoble-alpes.fr<mailto:chuyuan.li@univ-grenoble-alpes.fr> - Raúl Vázquez, University of Helsinki, raul.vazquez(a)helsinki.fi<mailto:raul.vazquez@helsinki.fi> - Boya Zhang, Université de Genève, boya.zhang(a)unige.ch<mailto:boya.zhang@unige.ch>

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[second CFP] Global Wordnet Conference 2027, Amsterdam Netherlands
by Vossen, P.T.J.M. (Piek) 12 Oct '26

12 Oct '26

14th International Global Wordnet Conference Amsterdam, Netherlands February 1-4, 2027 The Global Wordnet Association is delighted to announce the 14th International Global Wordnet Conference (GWC2027), to be held in Amsterdam (Netherlands) from 1 to 4 February, 2026. The GWC2027 conference will be held under the auspices of the Global WordNet Association, the Faculty of Social Sciences and Humanities of the Vrije Universiteit Amsterdam. Important information about registration and participation for GWC2027 will be incrementally added to the conference website: https://cltl.github.io/GWC2027/ We invite submissions of original research contributions addressing, though not limited to, the topics listed below. This year’s special theme is language documentation: how can wordnets be used to support language documentation around the world. As such, we would like to invite submissions on this special. We hope this will foster collaboration and cross-pollination between the both fields. Conference Topics Lexical semantics and meaning representation * Critical analysis and applications of lexical and semantic relations * Proposed new relations * Definitions, semantic components, co-occurrence and frequency statistics * Word, sense, and context embeddings * Necessity and completeness issues * Ontology and wordnet * Lexical semantics of emotions and other lexical fields of interest for lexical typology (e.g. body parts, colors, motion verbs, etc.) * Wordnets and other modalities * Wordnets and other theoretical frameworks for modelling lexical semantics * Other lexicographical and lexicological questions pertaining to wordnet-style meaning representation Architecture of lexical databases * Language independent and language dependent components * Integration of multi-wordnets in research infrastructures (e.g., CLARIN, ELG, ELRA, etc.) * Wordnets and Linked Open Data (LOD) Tools and methods for wordnet development * User and data entry interfaces * Methods for constructing, extending, and enriching wordnets * Methods for linking wordnets to other lexical and semantic resources * Methods for leveraging existing wordnets and semantic networks with large language models * Methods for wordnet development specific for under-resourced languages Applications of wordnet * Word sense disambiguation * Text generation * Commonsense reasoning * Machine translation * Information extraction and retrieval * Document structuring and categorization * Text classification * Automatic hyperlinking * Language teaching * Psycholinguistic applications * Embeddings and pretrained language models * Probing large language models Standardization, distribution and availability of wordnets and wordnet tools * Best practices for wordnet maintenance, standardization, and distribution * Evaluation metrics for wordnet tools and resources * Interoperability across wordnets and wordnet tools * Licensing and legal considerations for wordnets distribution * APIs and other web services for accessing wordnets * Strategies for community involvement in wordnet standardization Language documentation and wordnets * Building wordnets for endangered, indigenous, and minority languages * Representing culture-specific concepts, folk taxonomies, and indigenous knowledge systems through wordnets * Integration of wordnet development with linguistic fieldwork tools (e.g., FLEx, ELAN, SayMore) * Multimodal wordnets: Linking synsets to audio, video, and archival field recordings * Wordnets as resources for language revitalization and community-based teaching * Community-driven wordnet creation and participatory lexicography * Overcoming data scarcity in wordnet construction for documented languages * Ethical considerations, data sovereignty, and open access in endangered language wordnets ________________________________ Submissions should fall into one of the following categories (page limits exclude references): * Long papers: 8 pages max, 30 minute presentation * Short papers: 5 pages max, 15 minute presentation * Project reports: 5 pages max, 10 minute presentation * Demonstrations: 5 pages max, with up to 3 additional pages for screenshots or images, 20 minute presentation Submissions must be anonymized, and any identifying information must be removed. Authors should indicate their preferred submission category; however, the final category of acceptance may be adjusted by the organising and scientific committees (e.g., if need be, a long paper submission may be accepted as a short paper). At least one author from each paper must register and present the paper in person in order for the paper to be included in the proceedings. To enhance replicability and transparency, authors are encouraged to share the data and code used in their research, whenever possible in an anonymized form. We recommend exploring data repositories that support anonymization techniques and open-source code hosting platforms like GitHub<https://github.com/>. Camera-ready and final papers must be submitted electronically in PDF format only. Paper submissions must adhere to the official ACL style templates available here for LaTeX and Word. Please also follow the general paper formatting guidelines established by the “*ACL” conferences available here<https://acl-org.github.io/ACLPUB/formatting.html>. Authors should not modify these style-sheet files or use templates designed for other conferences. Papers must be submitted via the EasyChair website: https://easychair.org/conferences/?conf=gwc2027 ________________________________ Important Dates * New Paper Submission Deadline: October 16, 2026 * Notification of Acceptance: November 27, 2026 * Camera-Ready Submission Deadline: January 15, 2027 * Conference Dates: February 1-4, 2025 * Final Paper Submission for Proceedings: February 28, 2027 ⏰ The deadline timezone is Anywhere on Earth<https://time.is/Anywhere_on_Earth>

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[Second Call] Call for participation in our survey on NLP careers
by Esra Dönmez 12 Oct '26

12 Oct '26

Dear Colleagues, We invite you to participate in our survey on career paths in NLP and the factors that shape career decisions. We are interested in learning more about the professional contexts in which members of the NLP community work, as well as the factors that have influenced their career choices. We plan to synthesize the findings and use them to facilitate a discussion at EMNLP 2026. We will also share the aggregated results with the community to provide a broader overview of career paths and working contexts in NLP. The survey is fully anonymous and takes approximately 10–15 minutes to complete. You can access the survey here: https://acpaths.ims.uni-stuttgart.de/ Why participate? Make an impact: Contribute to a better understanding of the NLP career landscape and help junior researchers and practitioners navigate their career options with greater clarity. Gain insights: Receive a report summarizing the findings and providing an overview of NLP careers and their professional contexts. We would be very grateful for your input. Thank you for considering participating in our survey. If you know colleagues or peers who may also be interested, we would greatly appreciate it if you shared the survey with them. Best regards, Esra Dönmez (Institute for Natural Language Processing, University of Stuttgart) Marlene Lutz (University of Mannheim) Matthias Orlikowski (University of Mannheim)

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European Language Data Space (LDS) Workshop in France – October 19, 2026 (10:00 – 15:00)
by info＠elda.org 12 Oct '26

12 Oct '26

[Apologies for multiple postings] *LDS Workshop in France, on October 19, 2026 (10:00 - 15:00) - *Maison de la Recherche, Paris 75007 ELDA is pleased to announce theLDS Workshop in France <https://language-data-space.ec.europa.eu/lds-country-workshop-france-2026-1…>, organised as part of the European Language Data Space (LDS) <https://language-data-space.ec.europa.eu/index_en>project in Paris on October 19, 2026. The workshop will bring together stakeholders from industry, research, the media and the public sector to discuss access, sharing and use of language data for AI development in France. The programme <https://language-data-space.ec.europa.eu/lds-country-workshop-france-2026-1…> features presentations and two panel discussions addressing key challenges: * *Access and Trust: Unlocking the Potential of Language Data in France:*Exploring how to facilitate access to and sharing of language data while addressing legal, governance and trust-related challenges. * *From Accessible Data to AI-Ready Data:*Discussing how to transform available language resources into high-quality, interoperable datasets suitable for AI training and evaluation. Invited speakers and panellists from the European Commission, the French Ministry of Culture, ALT-EDIC, LIS-Lab, AFP, Radio France, Orange, INA, LightOn and Vocapia, among others have already confirmed their participation. *Practical Information* * Monday, 19 October 2026 * 10:00–15:00 (Welcome from 9:20) * Maison de la Recherche, 54 rue de Varenne, 75007 Paris * View the workshop programme <https://language-data-space.ec.europa.eu/lds-workshop-france-2026-10-19_en> * Register here <https://ec.europa.eu/eusurvey/runner/LDS-WS1-FR> * The event will be held in French. Registration is mandatory to access the venue. We warmly encourage researchers, industry professionals, data providers, AI developers, policymakers and all interested stakeholders to join us in Paris! Please feel free to share this announcement within your networks. *ELDA – Evaluations and Language resources Distribution Agency* Contact : Fernanda González Campo, fernanda(a)elda.org

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Job: Computational Linguistics Tenure-Track Assistant Professor
by Cecilia Alm 11 Oct '26

11 Oct '26

Computational Linguistics Tenure-Track Assistant Professor The School of Psychology and Cognitive Science at the Rochester Institute of Technology invites applications for a full-time, 9-month tenure-track Assistant Professor of Computational Linguistics, beginning in August 2027. Candidates are expected to have an earned doctoral degree (in hand by August 2027) in Linguistics, Computational Linguistics, or a related field. The position additionally offers an affiliation with the Department of Modern Languages and Cultures in the School of Languages, Humanities, and Social Sciences. Successful candidates should demonstrate computational expertise, strong research talent, and initiative in grant writing. Candidates should also have a plan for excellence in teaching and student mentoring at the undergraduate and graduate levels. Applicants must be able to teach our courses in language technology and large language models, natural language processing, and/or computational speech processing. In addition, applicants should be able to teach foundational linguistics from a cross-linguistic perspective, as well as courses in at least one additional linguistics, artificial intelligence, or cognitive science subfield. Proficiency in an additional language other than English is preferred, and we welcome research or teaching experience involving language learning. The position requires a commitment to teaching and mentoring, active research and publication, and a strong potential to attract external funding. Research and teaching are priorities for faculty at RIT, and all faculty are expected to mentor graduate and undergraduate students through advising, research, and in-class experiences. The computational linguistics-related programs at RIT serve a rapidly expanding student population at a technical university. We are looking for a faculty colleague who can also contribute to the interdisciplinary M.S. program in Artificial Intelligence and the Ph.D. program in Cognitive Science. Our coursework is also offered to B.S. in Artificial Intelligence majors. In addition, RIT provides many opportunities for collaborative research across the institute in areas such as linguistics of sign languages and languages other than English, artificial intelligence, human-centered computing, and cybersecurity. RIT faculty have access to extensive research computing resources. REQUIRED MINIMUM QUALIFICATIONS: ● Ph.D. (in hand by August 2027) in Linguistics, Computational Linguistics, or a related field. ● Have demonstrated ability to conduct independent research in computational linguistics. ● Demonstrate potential for external research grant attainment. ● Have consistently and recently published in computational linguistics. ● Demonstrate potential for excellence in teaching language technology, natural language processing, and/or computational speech processing. ● Demonstrate potential for excellence in teaching foundational linguistics from a cross-linguistic perspective, and courses in at least one more linguistics, artificial intelligence, or cognitive science subfield. ● Demonstrate potential for excellence in supervising graduate and undergraduate student research. ● Show a career trajectory that emphasizes a balance between research and teaching. Priority application deadline: November 15, 2026. Applications will be accepted until the position is filled. Please contact the search committee chair, Dr. Cecilia Alm, at <coagla(a)rit.edu> with any questions. Faculty Tenure, Rank, Discipline JC_1414 - Assistant Professor, Psychology Work Location Hybrid Compensation $80,000-$90,000 Application Materials When you are ready to complete an application for this position please be prepared to submit the below requested information. This will be required to ensure your application is processed in a timely manner. Cover Letter, Curriculum Vitae or Resume, Research Statement, Statement of Teaching Philosophy Anticipated Start Date August 16, 2027 Additional Details In compliance with NYS's Pay Transparency Act, the salary range for this position is listed above. Rochester Institute of Technology considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. The hiring process for this position may require a criminal background check and/or motor vehicle records check. Any verbal or written offer made is contingent on satisfactory results, as determined by Human Resources. RIT provides equal opportunity to all qualified individuals and does not discriminate on the basis of race, color, creed, age, marital status, sex, gender, religion, sexual orientation, gender identity, gender expression, national origin, veteran status or disability in its hiring, admissions, educational programs and activities. RIT provides reasonable accommodations to applicants with disabilities under the Rehabilitation Act, the Americans with Disabilities Act, the New York Human Rights Law, or similar applicable law. If you need reasonable accommodation for any part of the application and hiring process, please contact the Human Resources office at 585-475-2424 or email your request to careers(a)rit.edu. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

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2 PhD positions at Saarland University
by Vera Demberg 11 Oct '26

11 Oct '26

The group of Vera Demberg <https://www.uni-saarland.de/lehrstuhl/demberg.html> invites applications for 2 PhD positions at Saarland University (starting from Jan 2027 or soon thereafter, for 3 years with possible contract extension). The PhD topics are: *Individualised AI Assistants for Software Comprehension* This position aims to make AI coding assistants adaptive to individual developers rather than one-size-fits-all. Using behavioural, eye-tracking, and EEG data, the doctoral researcher will build interpretable models that group developers by how they comprehend code and relate these groups to factors such as experience and working memory. These models will then drive controllable, faithful generation of code, tests, and explanations, drawing on the Rational Speech Acts framework, retrieval-augmented grounding, and real-time gaze and EEG signals. See the full ad for more details and application info: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… * Cooperative User Interfaces as Rational Agents* This position develops LLM agents that reason explicitly about what a specific user knows and communicate accordingly, grounded in personal knowledge bases (PKBs) that represent a user's knowledge and beliefs. The doctoral researcher will study how background knowledge shapes interpretation, build knowledge-graph-augmented LLMs that predict how a text will be understood, and use the Rational Speech Acts framework to generate messages that fill relevant knowledge gaps. Mechanistic interpretability and activation steering will be used to test and strengthen how reliably LLMs rely on PKB information rather than their built-in knowledge. See the full ad for more details and application info: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… If you have further questions, please email Vera Demberg <demberg(a)lst.uni-saarland.de> <mailto:demberg@lst.uni-saarland.de>.

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[Last Call for Papers] KNLP @ ACM SAC 2027 – Deadline Extended to October 16
by Patrizio Bellan 10 Oct '26

10 Oct '26

Special Track on Knowledge and Natural Language Processing Track @ ACM SAC 2027 *Deadline October 16th* The Knowledge and Natural Language Processing (KNLP) Track at the ACM Symposium on Applied Computing investigates methods and applications at the intersection of *Knowledge Engineering* and *Natural Language Processing*, with particular emphasis on approaches that combine these two areas. KNLP is an highly interdisciplinary research field at the core of Artificial Intelligence. It brings together and complements scientific advances in Natural Language Processing, Knowledge Representation and Reasoning, Machine Learning, and related disciplines. Topics of Interest Topics of interest include, but are not limited to: - NLP for knowledge extraction, ontology learning and population - Knowledge-enhanced NLP and information retrieval - Knowledge graphs, ontologies, and Linked Data for NLP - Interaction between language models and structured knowledge - Knowledge-enhanced agentic reasoning - Language-model-based methods for knowledge extraction, engineering, reasoning, and management - Retrieval-Augmented Generation, question answering, fact-checking, explainability, and bias mitigation - Knowledge and NLP applications in domains such as healthcare, digital humanities, public administration, media, and Big Data Paper Submission We invite original research papers and experience reports addressing the topics listed above. - Submissions must not have been previously published or be under consideration for publication elsewhere. - All submissions will undergo a *double-blind peer-review process*. - Submissions to the *Student Research Competition (SRC)* are also welcome. Prospective authors should consult the SAC 2027 SRC page for eligibility requirements and submission instructions. - *Regular papers and SRC abstracts:* submission links are available through the ACM SAC 2027 website <https://www.sigapp.org/sac/sac2027/> - *Author kit and templates:* formatting instructions and official templates are available through the ACM SAC 2027 website <https://www.sigapp.org/sac/sac2027/> Important Dates - *October 16, 2026:* Regular paper and SRC abstract submission — *extended deadline* - *November 20, 2026:* Author notification - *Camera-ready submission and author registration:* please refer to the official ACM SAC 2027 website <https://www.sigapp.org/sac/sac2027/> for the updated schedule - *April 5–9, 2027:* Knowledge and Natural Language Processing Track at ACM SAC 2027 For further information, please visit the Knowledge and Natural Language Processing Track website <https://knlp-sac.github.io/2027/> and the ACM SAC 2027 conference website <https://www.sigapp.org/sac/sac2027/>. Questions may be addressed to the KNLP Track Co-Chairs <knlp(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.

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COLING 2027: Final Call for Papers
by Joakim Nivre 09 Oct '26

09 Oct '26

COLING 2027: Final Call for Papers Website: https://2027.coling-iccl.org/ The 32nd International Conference on Computational Linguistics (COLING 2027) will take place in Macau, China, May 9-14 2027. COLING 2027 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of computational linguistics and natural language processing. Relevant topics include, but are not limited to, the following areas: * Benchmarking and Evaluation * Computational Cognitive Modeling and Psycholinguistics * Computational Social Science and Sociolinguistics * Cross-lingual and Multilingual NLP (including Machine Translation) * Dialogue and Interactive Systems * NLP for Digital Humanities and Cultural Analytics * Discourse and Pragmatics * Ethics, Bias, Fairness, Alignment and Security * Human-AI Interaction and Social Impact of AI systems (including User Studies) * Information Extraction and Retrieval * Interpretability and Analysis of NLP Models * Knowledge-based NLP and Reasoning * Language Acquisition, Learning and Evolution * Language Diversity and NLP for Low-resourced/Less-studied Languages * Language Modeling, including Novel Architectures * Language Resources * Linguistic Theories and Language Modeling for Linguistic Insights * Machine Learning, including Resource-efficiency and Explainability * Agent-based LLM systems * Morphology and Syntax: Segmentation, Tagging, Chunking and Parsing * Multimodality and Language Grounding to Vision, Robotics and Beyond * Natural Language Generation, Summarization and Simplification * NLP and LLM Applications * Phonology and Speech: Recognition, Synthesis, Spoken Language Modeling * Semantics: Lexical and Sentence-Level * Sentiment Analysis, Opinion and Argument Mining, Offensive Language Detection Special Theme: NLP for Linguistics The scientific study of language, linguistics, is a broad field of research that aims to understand the many facets of natural language, across the millions of varieties spoken and used around the globe, including its acquisition, evolution, and relation to social structures and the human mind. A long-standing question in linguistic research is how to model the ubiquitous variation and diversity found within and across languages and language communities, as well as underlying universals and linguistic typology. Historically, computational linguistics and NLP have been closely connected to the scientific study of language, with mutual influence and exchange of ideas, but this connection has weakened over time as NLP has become increasingly reliant on data-intensive methods and focused on applications rather than linguistic insights. The development of LLMs has further amplified this divergence, reinforcing the emphasis on well-resourced languages, commercial use cases, and a narrow set of modeling approaches (transformers), at the expense of linguistic and social diversity and with less emphasis on scientific goals. Recently, a growing body of work in computational linguistics has attempted to narrow the gap between computational language modeling and linguistics, although so far mainly by using data and concepts from linguistics to analyze and evaluate LLMs, rather than to understand language itself. The COLING 2027 special theme, NLP for Linguistics, invites papers that explore the use of NLP and LLMs to advance linguistic research, with a particular focus on linguistic diversity. Instead of asking what linguistics can do for NLP, we encourage the complementary perspective: what can NLP do for the scientific analysis and modeling of language as spoken by humans around the globe? Of special importance is research that explores under-researched languages and linguistic phenomena, investigates the needs of underrepresented groups and communities of speakers, and advances our understanding of how current NLP models can contribute to the scientific study of language and linguistic diversity. Furthermore, the theme track explicitly invites papers that take a critical scientific perspective on current NLP technology, reflect on potential limitations of existing models, or propose new NLP-based methods for the scientific study of language. Submission Details All papers must be submitted through ACL Rolling Review (ARR). The latest possible submission time is the ARR 2026 October cycle, but papers that have already received reviews and a meta-review from ARR in earlier cycles can also be committed to COLING 2027. Please note that the October ARR cycle is shared between COLING 2027 and NAACL 2027 and that authors will be able to choose which conference they want to commit their paper to (only) after the meta-reviews have been released. COLING 2027 invites the submission of long papers of up to eight (8) pages and short papers of up to four (4) pages. These page limits only apply to the main body of the paper. At the end of the paper (after the conclusion but before the references), there must be a mandatory section discussing limitations and, optionally, a section on ethical considerations. Papers can include an unlimited number of pages of references and an unlimited appendix. Authors should follow the guidelines on the ARR website (https://aclrollingreview.org/), where templates are also available. Special theme papers: The special theme can only be selected when committing to COLING 2027 after the meta-review stage. For the first submission to ARR, just choose the best fit among the standard tracks. Important Dates * ARR submission deadline (long & short papers): October 12, 2026 * Commitment after meta-reviews: December 23, 2026 * Notification of acceptance: February 10, 2027 * Virtual Conference (online presentations): May 6–7, 2027 * Main Conference (in-person only): May 9–14, 2027 General Chairs * Katrin Erk, University of Massachusetts Amherst * Chengqing Zong, Institute of Automation, Chinese Academy of Sciences Program Chairs * Minlie Huang, Tsinghua University * Joakim Nivre, Uppsala University * Alexis Palmer, University of Colorado Boulder * Sina Zarrieß, University of Bielefeld For questions about submissions: coling2027-pcchairs(a)googlegroups.com<mailto:coling2027-pcchairs@googlegroups.com> När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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Fully funded 3 year PhD position on Controllability of LLMs in Dialogue Systems at the University of Bamberg
by Ultes, Stefan 09 Oct '26

09 Oct '26

Dear all, We have an open PhD student position at the Chair for Natural Language Generation and Dialogue Systems (https://www.uni-bamberg.de/en/ds/) at the University of Bamberg, Germany. We are looking for a talented talented researcher for a term of three years, starting either April 1 2027 or as soon as possible thereafter. Application deadline is 1 November 2026. **Topic description**: We aim to advance the controllability of large language models (LLMs) for everyday dialogue systems by discovering lightweight methods to steer LLMs without requiring full model access or costly internal modifications. We will investigate whether an LLM’s response can be shaped by control signals that follow a defined interaction pattern and how this interaction pattern can be learned. The work will explore prompt‑based and constraint‑decoding methods as well as reinforcement learning approaches. The full details can be found here: https://www.uni-bamberg.de/en/ds/open-positions/ Applicants should have: * Completed university degree (MSc or equivalent) with focus: computer science, artificial intelligence, computational linguistics, machine learning or comparable * Good proficiency in Python programming language * Ability to work in a highly analytical, structured, and autonomous fashion * Proficiency in English and at least basic knowledge of German is desired If you would like to apply, please send your complete application including a brief letter of motivation (Why do you want to do a PhD? Why at the group?), your CV, your transcripts, contact details of two references and optionally your publication record as a single pdf file to applications.ds(a)uni-bamberg.de. Best regards, Stefan Ultes -- Prof. Dr.-Ing. Stefan Ultes Natural Language Generation and Dialogue Systems Otto-Friedrich-University of Bamberg Bamberg Center for Artificial Intelligence phone: +49 (0) 951 863 2900 or +49 (0) 951 863 2901 (secretary) https://www.uni-bamberg.de/en/ds

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QDLCA27 Pre-conference Workshop: Research Infrastructures, Methods, and Annotation for Quantitative Diachronic Linguistics
by Andrea Farina 08 Oct '26

08 Oct '26

The QDLCA27 pre-conference workshop, organised by Dr Andrea Farina (King's College London), is a satellite event of the Quantitative Diachronic Linguistics and Cultural Analytics 2027 (QDLCA27) conference<https://www.kcl.ac.uk/events/quantitative-diachronic-linguistics-and-cultur…>. The workshop will take place from Monday 11 (afternoon) to Wednesday 13 (morning) January 2027. It is supported by a CLARIN<https://www.clarin.eu/>-funded initiative (Days 1–2) and by the COALA – Computational Corpus Annotation for Quantitative Analysis of Latin Lexical Semantics<https://coala.er.kcl.ac.uk/about/?utm_source=chatgpt.com> project (Day 3), which also underpins the organisation of QDLCA27. Bringing together researchers interested in digital resources, computational methods, and linguistic annotation, the workshop is designed to provide participants with methodological knowledge and practical experience in the quantitative study of language change, while fostering collaboration across the historical linguistics, corpus linguistics, computational linguistics, and digital humanities communities. The increasing availability of digitised texts, linguistic resources, and computational tools has transformed research in historical linguistics. However, making effective use of these opportunities requires a clear understanding of how data are created, structured, annotated, and analysed. This workshop addresses key challenges in quantitative diachronic research, including the use of research infrastructures, the management and interpretation of historical datasets, annotation methodologies, and the development of reproducible workflows. The first two days of the workshop focus on research infrastructures, tools, and methodological approaches for quantitative diachronic linguistics. Participants will explore how digital resources and computational methods can support research on language variation and change, while also discussing practical challenges related to data access, the design and application of linguistic annotation schemes, comparability, and analysis. Through practical activities, participants will be introduced to the principles and practices of linguistic annotation and will gain hands-on experience in annotating historical language data, including considering how to define annotation categories, apply annotation schemes, and deal with ambiguity and competing analyses. They will also explore how annotated data can be leveraged for quantitative analysis and for investigating patterns of linguistic variation and change. The workshop includes opportunities for participants to discuss their own research interests and datasets, fostering exchange among researchers working with different languages, periods, and methodological approaches. Confirmed invited speakers are Prof Marco Passarotti (Università Cattolica del Sacro Cuore) and Dr Megan Bushnell (University of Oxford), who will share perspectives on computational approaches, research infrastructures, and digital resources for the study of historical language data. The workshop is aimed primarily at PhD students and early career researchers who wish to develop their understanding of how to design and apply linguistic annotation and how annotated resources can support quantitative analyses of language change. It is suitable for researchers in historical linguistics, corpus linguistics, computational linguistics, and digital humanities, including those who are beginning to integrate computational methods into their work. The workshop aims to equip participants with practical as well as conceptual foundations needed to engage critically and creatively with quantitative approaches to diachronic linguistics, from the creation and annotation of historical datasets through to their quantitative analysis. The workshop also builds on the broader research community developed through the seminar series Data in Historical Linguistics<https://datainhistoricallinguistics.wordpress.com/> and is part of the activities of the King's Linguistics Network<https://www.kcl.ac.uk/research/kln>. Together, these initiatives promote dialogue on the role of digital data, computational approaches, and quantitative methods in advancing research on language history and linguistics more broadly. Registration and expressions of interest Participation in the workshop is free, but places are limited and capped to 20. Researchers interested in attending are invited to submit an expression of interest by 31 October 2026 through the registration form below. Applicants will be asked to provide a short cover letter explaining their research interests and reasons for wishing to participate. https://forms.gle/H2DjTn7DaKcM8CXZ7 Applicants will be informed of the outcome of their application during the following week. For enquiries, please contact Dr Andrea Farina at andrea.farina(a)kcl.ac.uk<mailto:andrea.farina@kcl.ac.uk>.

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