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[2nd CFP] 1st International Workshop on Quality in Large Language Models and Knowledge Graphs
by Farah Benamara 15 Jan '26

15 Jan '26

----------------------------------------------------------------------------- Call for submissions 1st International Workshop on Quality in Large Language Models and Knowledge Graphs In conjunction with EDBT/ICDT 2026 QuaLLM-KG @ EDBT/ICDT 2026 24 March 2026, Tampere, Finland Website: https://quallmkg2026.github.io/ *New deadline: January 25th AoE* ----------------------------------------------------------------------------- **** Goal **** QuaLLM-KG aims to bring together researchers and practitioners working on quality issues at the intersection of large language models and knowledge graphs. The workshop focuses on theories, methods, and applications for assessing, improving, and monitoring the quality of LLMs and KGs. **** Important Dates **** - Submission deadline: January 25th, 2026 - Notification: February 8th, 2026 - Camera-ready: February 20th, 2026 **** Topics **** * Quality in Knowledge Graphs - Accuracy, consistency, completeness, freshness - Schema validation, constraint checking, error detection - Entity resolution, link prediction, ontology alignment - Provenance, explainability, trust in KG data - KG quality in dynamic and large-scale settings * Quality in Large Language Models - Hallucination reduction & factual grounding - Bias detection and mitigation - Metrics & benchmarks for quality assessment - Uncertainty estimation, calibration, interpretability * Synergies Between KGs and LLMs - KG-based grounding and fact-checking for LLMs - LLM-based KG enrichment, extraction, entity linking - Quality-driven prompting and fine-tuning - Hybrid KG–LLM architectures for quality assurance - Evaluation frameworks for integration and consistency * Benchmarks and Evaluation Frameworks - Datasets and metrics for KG & LLM quality - Tools for monitoring, validation, maintenance - Reproducibility, transparency, responsible AI * Applications and Case Studies - Scientific, industrial, enterprise use cases - Quality at scale - Human-in-the-loop quality control **** Submissions **** We invite submissions of full papers (up to 8 pages, excluding references) and short papers describing work in progress, systems, demos/systems/applications, or vision/innovative ideas (up to 4 pages, excluding references). Submissions should be in the CEUR-WS proceedings template. Accepted papers will be published in the CEUR Workshop proceedings (CEUR-WS.org). **** Workshop Organizers **** - Soror Sahri, Université Paris Cité, France - Sven Groppe, University of Lübeck, Germany - Farah Benamara, IPAL-CNRS, Singapore & University of Toulouse -- ======================== Farah Benamara Zitoune Professor in Computer Science, Université de Toulouse IRIT and IPAL-CNRS Singapore 118 Route de Narbonne, 31062, Toulouse. Tel : +33 5 61 55 77 06 http://www.irit.fr/~Farah.Benamara ==================================

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2nd CfP: Gaze4NLP - The Second International Workshop on Gaze Data and Natural Language Processing
by cagri coltekin 15 Jan '26

15 Jan '26

**Second Call for Papers** Gaze4NLP - The Second Workshop on Gaze Data and Natural Language Processing 12 May 2026, Palma de Mallorca, Spain (co-located with LREC 2026) https://gaze4nlp.github.io/Gaze4NLP2026/ The Second Workshop on Gaze Data and Natural Language Processing (Gaze4NLP), co-located with LREC 2026 in Palma de Mallorca, Spain, invites papers of a theoretical or experimental nature describing research methodologies by employing interdisciplinary perspectives, including computer science and engineering perspectives and cognitive sciences, and identifying challenges to resolve in the intersection of the two domains: eye tracking and NLP. Gaze4NLP aims to bring together researchers conducting research on eyes on eyes on text and NLP; and establishing bridges between them for identifying future venues of research. Workshop webpage: https://gaze4nlp.github.io/Gaze4NLP2026/ Important Dates Workshop paper submission deadline: 16 February 2026 Workshop paper acceptance notification: 16 March 2026 Workshop paper camera-ready versions: 30 March 2026 Workshop date: 12 May 2026 All deadlines are 11:59PM UTC-12:00 (anywhere on Earth) Topics for the workshop will include, but are not limited to: - Investigating the pillars for bridging the gap between the research on eyes on text and NLP. Study how to expand research methodologies by employing interdisciplinary perspectives, including computer science and engineering perspectives and cognitive sciences, and identify challenges, issues to resolve. - Exploring new areas so that both fields benefit from each other better than the past, identifying novel domains of exploration for further research. - Discussing how to develop cognitively inspired models that align human reading data with LLMs. Submissions We solicit regular workshop papers, which will be included in the proceedings as archival publications. The length of the papers should be between 4 and 8 pages (excluding references). The submissions should not include any appendices. Accepted papers will be presented in the form of either oral or poster presentations. Please note that camera-ready papers are allowed an additional page of content to address reviewer comments, and unlimited pages for appendices. The workshop proceedings will be part of the ACL anthology. Accepted papers will also be given an opportunity with an extended version to be published as part of an edited book. Submissions will be handled via the START Conference Manager. - Submission link: https://softconf.com/lrec2026/Gaze4NLP/ All submissions should follow the LREC style guidelines. We strongly recommend the use of the LaTeX style files, OpenDocument, or Microsoft Word templates created for LREC: <https://lrec2026.info/authors-kit/>. All papers must be anonymous, i.e., not reveal author(s) on the title page or through self-references. So, e.g., “We previously showed (Smith, 2020)”, should be avoided. Instead, use citations such as “Smith (2020) previously showed”. LRE-Map and Sharing Language Resources When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). Organization Committee: Cengiz Acarturk, Jagiellonian University, Poland Jamal Nasir, University of Galway, Ireland Burcu Can, University of Stirling, Scotland, UK Cagri Coltekin, University of Tubingen, Germany

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Fw: 2 Computer Science PhD scholarships available for UK home fee-rated students
by Eric Atwell 14 Jan '26

14 Jan '26

School of Computer Science at University of Leeds has two UK DLA PhD scholarships for this year (Oct 2026) with a deadline of Friday 30th January: https://phd.leeds.ac.uk/project/2357-epsrc-dla-scholarship-in-the-school-of… Please encourage any eligible students to apply, as we have not had much demand so far so the success rate is likely to be quite good. These can be for any project in the school, starting October 2026, lasting 3.5 years. This year both are for UK home-fee rated students only; applicants can check their eligibility here: https://www.ukcisa.org.uk/student-advice/find-a-category-for-he-england Eric Atwell, Professor of Artificial Intelligence for Language School of Computer Science, Uni of LEEDS, LS2 9JT, UK http://www.comp.leeds.ac.uk/eric

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Internship in Machine Learning and Semantic Web for Dataset Discovery
by Anaïs Ollagnier UNICA 14 Jan '26

14 Jan '26

English version below Bonjour, Dans le cadre du projet DataLens, nous proposons un stage de M2 en Machine Learning et Web sémantique visant à améliorer la complétion et la structuration des métadonnées de jeux de données pour faciliter la fédération de sources hétérogènes. Plus d’informations et candidature : https://recrutement.inria.fr/public/classic/fr/offres/2025-09456. ------------------------------------------------------------------------ Hello, As part of the DataLens project, we are offering a Master’s internship in Machine Learning and the Semantic Web focused on improving the completion and structuring of dataset metadata to support the federation of heterogeneous sources. More information and application: https://recrutement.inria.fr/public/classic/fr/offres/2025-09456. Best regards, -- Anaïs OLLAGNIER Assistant Professor at Université Côte d'Azur | I3S | INRIA wimmics team -------------------------------------------- Templiers 1, Bureau 417, 930 Route des Colles, BP 145 06903 Sophia Antipolis Cedex, France anais.ollagnier(a)inria.fr |https://aollagnier.github.io/

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Call for Papers: Holocaust Testimonies as Language Resources (HTRes-2026) at LREC2026
by Martin Wynne 14 Jan '26

14 Jan '26

CALL FOR PAPERS The Second Workshop on Holocaust Testimonies as Language Resources (HTRes-2026), a pre-conference workshop at LREC2026 Date: 11 May 2026 Location: Palma de Mallorca, Spain Workshop web page: https://www.clarin.eu/HTRes2026 Submission Deadline: 20 February 2026 Submission link: https://softconf.com/lrec2026/HTRes2026/ Holocaust testimonies serve as a bridge between survivors and history’s darkest chapters, providing a connection to the profound experiences of the past. Testimonies stand as the primary source of information that describes the Holocaust, offering first-hand accounts and personal narratives of those who experienced it. The majority of testimonies are captured in an oral format, as survivors vividly explain and share their personal experiences and observations from that time period. Transforming Holocaust testimonies into a machine-processable digital format can be a difficult task owing to the unstructured nature of the text. The creation of accessible, comprehensive, and well-annotated Holocaust testimony collections is of paramount importance to our society. These collections empower researchers and historians to validate the accuracy of socially and historically significant information, enabling them to share critical insights and trends derived from these data. The primary objective of this workshop is to explore how various theories, techniques, and tools from corpus linguistics, natural language processing, and digital humanities can contribute to the examination, analysis, dissemination, and preservation of Holocaust testimonies and other Holocaust-related documents. The workshop is supported by CLARIN and EHRI. Please find full details of the call for papers at the workshop web page at https://www.clarin.eu/HTRes2026. The main conference website is at https://lrec2026.info/ . IMPORTANT DATES Final date for paper submission: 12 February 2026 Notification of Acceptance: 11 March 2026 Camera-ready version submission: 30 March 2026 Workshop date: 11 May 2026 To contact the organisers, please email holocausttlr(a)gmail.com From Martin Wynne on behalf of the organizing committee. -- Senior Researcher in Corpus Linguistics Faculty of Linguistics, Philology and Phonetics, University of Oxford National Co-ordinator, CLARIN-UK martin.wynne(a)ling-phil.ox.ac.uk https://orcid.org/0000-0002-4155-0530

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Second Call for Papers: RaPID-6@MENTAL.ai@LREC 2026: Palma de Mallorca, Spain
by Dimitrios Kokkinakis 14 Jan '26

14 Jan '26

**************************************** Second Call for Papers: The 6th workshop on: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" in collaboration with the MENTAL.ai -consortium Workshop: co-located with LREC 2026 | Palma de Mallorca, Spain | May 12th, 2026 RaPID-6(a)MENTAL.ai serves as an interdisciplinary platform for researchers to exchange insights, methods, and experiences related to collecting and processing data from individuals with mental, cognitive, neuropsychiatric, or neurodegenerative impairments. The workshop focuses on creating, processing, and applying such data resources from individuals at different stages and severity levels of these impairments. The ultimate goal of RaPID-6(a)MENTAL.ai is to facilitate the study of relationships among linguistic, paralinguistic, and extra-linguistic observations, with applications ranging from aiding diagnosis to enhancing monitoring and predicting individuals at higher risk, ultimately promoting multidisciplinary collaboration across clinical, language technology, computational linguistics, and computer science communities. Submission deadline: Sun., 22nd of February, 2026 (anywhere on earth) Paper submission: https://softconf.com/lrec2026/RaPID-6/user/ Invited speakers: Brian MacWhinney, Carnegie Mellon University, USA and Sunny X. Tang, MD, Feinstein Institutes for Medical Research, Northwell Health, USA Website and details: https://spraakbanken.gu.se/rapid-2026 Contact: Dimitrios Kokkinakis Contact email: dimitrios.kokkinakis(a)gu.se<mailto:dimitrios.kokkinakis@gu.se> Organizing committee: * Dimitrios Kokkinakis, University of Gothenburg, Sweden * Charalambos Themistocleous, University of Oslo, Norway * Gaël Dias, University of Caen Normandie, France * Kathleen C. Fraser, University of Ottawa, Canada * Fredrik Öhman, University of Gothenburg and Sahlgrenska University Hospital, Sweden * Sebastião Pais, University of Beira Interior, Portugal ****************************************

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International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026): First Call for Industry Track Papers
by Announce 14 Jan '26

14 Jan '26

*** First Call for Industry Track Papers *** International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) 29 September - 2 October 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://conf.researchr.org/home/variability-2026 The VARIABILITY conference series brings together the communities previously served by ICSR, SPLC, and VaMoS, forming a unified venue for research on variability, configuration, customization, and related disciplines in software and systems engineering. The Industry Track of VARIABILITY 2026 offers a platform for practitioners, researchers, and technology leaders to share practical experiences in industrial settings with reuse, variability management, configuration, and product line engineering across software and systems. Building on the industrial tracks of SPLC, VaMoS, and ICSR, this track bridges research and practice by showcasing how variability, reuse, and product line strategies are being applied and developed in today’s fast-changing industrial environments. Software systems are becoming increasingly configurable, data-driven, and AI-enabled (e.g., using foundation models), while also integrating advanced technologies such as quantum computing. This growing complexity calls for balancing flexibility, reuse, and quality amid pressures from emerging technologies and sustainability objectives. The Industry Track welcomes submissions that demonstrate how these challenges are addressed in real-world settings, whether through success stories, lessons learned, or reflections on failures that yielded valuable insights. We especially encourage submissions that demonstrate how variability management, reuse, and configuration approaches are being applied or reimagined in industrial settings, including through AI, digital twins, large language (LLMs) and foundation models, quantum computing, and cyber-physical systems. The industry track aims to: • Showcase practical experiences from industrial settings using variability, reuse, or configuration techniques. • Exchange insights between industry practitioners and researchers. • Identify new industrial challenges and opportunities for future research collaboration. • Share tools, processes, or organizational approaches that improve adaptability, scalability, and efficiency. Topics of Interest We welcome experience reports, case studies, and position papers on any of the topics covered by the VARIABILITY conference. The detailed list of topics can be found on the conference website (https://conf.researchr.org/track/variability-2026/variability-2026-papers#C…). In addition to these topics, the industry track welcomes papers also on: Industrial Applications • Variability and reuse in AI, cyber-physical systems, robotics, automotive, aerospace, quantum computing, etc. • Sustainable technologies for variation and sustainable software reuse approaches • Human, organizational, and social aspects of variable systems and software • Industrial case studies and lessons learned Submission Guidelines Paper Types We invite the following types of submissions: • Full Papers (up to 18 pages excluding references): Presenting experiences from the application of reuse, variability management, configuration, and product line engineering approaches, preferably in an industrial context. Submissions should provide a clear context for the problem, outline requirements or practical experiences in addressing it, evaluate benefits and drawbacks or other lessons learned, and highlight the innovation or value of the contribution. • Short Papers (6 - 8 pages excluding references): Describing early results from new reuse, variability management, configuration, and product line engineering across software and systems applications. • Extended Abstracts (up to 1 page): A proposal for presentation during the conference. The extended abstract will not be published. Formatting Papers must use the Springer LNCS template according to: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… Springer provides author guidelines that should be consulted for further details: https://resource-preview-cms.springernature.com/springer-cms/rest/v1/conten… Submission Link Submissions should be made via Easy Chair, selecting the industry track: https://easychair.org/conferences?conf=variability2026 Paper Originality, Single-Blind Policy, Reviewing All papers must be original and not under review elsewhere. Submissions will be single- anonymous and reviewed by at least three experts. Submissions will be evaluated based on their relevance, rigor, transparency, novelty, and presentation. Accepted papers will appear in the VARIABILITY 2026 Proceedings which will be published as a Springer LNCS volume. Important Dates (AoE) • Submission of Papers: 8 June 2026 • Notification of Acceptance: 8 July 2026 • Camera-Ready Submission: 15 July 2026 • Author Registration: 15 July 2026 Organisation General Chairs • George A. Papadopoulos, University of Cyprus, Cyprus • Gilles Perrouin, FNRS & University of Namur, Belgium Research Track Chairs • Thorsten Berger, Ruhr University Bochum, Germany • Ina Schaefer, KIT, Germany Industry Track Chairs • Shaukat Ali, Simula Research Lab and Oslo Metropolitan University, Norway • Martin Becker, Fraunhofer IESE, Germany Journal First Track Chairs • Mathieu Acher, University Rennes, Inria, CNRS, IRISA, France • Xhevahire Tërnava, LTCI, Télécom Paris, Institut Polytechnique de Paris, France Doctoral Symposium Track Chairs • Rick Rabiser, LIT CPS, Johannes Kepler University Linz, Austria • Iris Reinhartz-Berger, University of Haifa, Israel Demos and Tools Track Chairs • Sandra Greiner, University of Southern Denmark, Denmark • Leopoldo Teixeira, Federal University of Pernambuco Projects Showcase Chairs • Daniel Struber, Chalmers, University of Gothenburg, Radbound University, Sweden • Dalila Tamzalit, Nantes Université, France Hall of Fame Chairs • Martin Becker, Fraunhofer IESE, Germany • Goetz Botterweck, Lero - The Irish Software Research Centre and University of Limerick, Ireland • Natsuko Noda, Shibaura Institute of Technology, Japan Workshops Chairs • Lidia Fuentes, Universidad de Malaga, Spain • Malte Lochau, University of Siegen, Germany Tutorials Chairs • Loek Cleophas, Eindhoven University of Technology and Stellenbosch University, The Netherlands • Mahsa Varshosaz, IT University of Copenhagen, Denmark Proceedings Chair • Sophie Fortz, King's College London, UK Publicity Chairs • Wesley Assunção, North Carolina State University, USA • Kentaro Yoshimura, Hitachi Ltd, Japan Local Organiser and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus

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Second CFP: Workshop on Structured Linguistic Data and Evaluation (SLiDE)
by Petya Osenova 14 Jan '26

14 Jan '26

Workshop on Structured Linguistic Data and Evaluation (SLiDE) A full-day workshop at <https://lrec2026.info/> LREC 2026<https://lrec2026.info/>, 11-16 May 2026, Palma, Mallorca (Spain) The workshop will be held on May 11, 2026 Webpage: https://www.slide-workshop.org/ Second Call For Papers In the last ten years, significant advances in deep learning models and the development of Large Language Models (LLMs) have revolutionized the fields of computational linguistics (CL) and natural language processing (NLP). In turn, this has led to a complete re-assessment of the language resources and evaluation practices necessary for training LLMs and analyzing their outputs. In particular, the availability of very large amounts of unstructured data for training foundational models has come into focus, while the value of high-quality structured linguistic data with rich annotations at various levels of linguistic analysis has been downplayed by comparison. However, as CL and NLP practitioners engage further with LLMs and debate their strengths and weaknesses, the importance of high-quality, structured linguistic data has been re-emphasized. The proposed workshop can be seen as related to the Treebanks and Linguistic Theories (TLT) conference series and the more recent SyntaxFest venue. Over the years, these venues have provided a central forum for high-quality research on treebanks, syntactic theory, syntax-semantics interface, structured meaning representations, and annotated linguistic resources. With record participation in recent years, they demonstrate the vitality and relevance of this line of work. The Workshop on Structured Linguistic Data is conceived as both a continuation of this tradition and an adaptation to the new realities of an LLM-dominated research landscape. The workshop will bring together researchers from these overlapping traditions to advance methods, resources, and practices for integrating structured linguistic data into the LLM era. Topics of interest include but are not limited to: Linguistic Data Analyses, Language Resources, and Evaluation * Grammar processing with NLP and LLM-based tools * Phonological and morphological analysis and LLM tokenization * Annotation strategies with LLM-empowered methodologies and tools * Design principles and annotation schemes for structured linguistic data * Multi-lingual and cross-lingual settings * Mapping of structured linguistic data to Linked Open Data resources * Evaluation informed by language typology * Language resources for under-resourced and endangered languages * The use of structured linguistic data for NLP applications * The use of structured linguistic data in acquiring linguistic knowledge * (Semi-)automatic methods for creating structured linguistic data Spoken language Data * Speech-to-text applications * Speech Generation techniques * Speech data preparation, curation and evaluation Multimodality and Situated Dialogue * Structured multimodal resources: gesture AMR (GAMR), gaze and posture annotation, multimodal dialogue corpora. * Multimodal grounding: linking language with visual, gestural, and action representations * Structured representations for co-attention and alignment in multiparty dialogue * Multimodal evaluation resources for LLMs Pragmatics and Discourse * Structured data for discourse and dialogue: discourse relation annotation, coherence structures, dialogue acts * Pragmatic annotation (speech acts, presupposition, implicature, politeness, stance) * Structured approaches to common ground tracking and Theory of Mind in LLMs Semantics and Lexical Meaning * Dependency analysis and semantic parsing * Annotation beyond syntax: semantics, pragmatics and discourse * Structured data for lexical semantics: sense inventories, semantic frames, qualia structure, and type-theoretic resources * Computational semantics resources: Abstract Meaning Representation (AMR), Universal Meaning Representation (UMR), Discourse, Representation Structures, Minimal Recursion Semantics (MRS), Type Theory with Records (TTR) * Distributional and neural-symbolic representations of lexical meaning: (e.g., Holographic Reduced Representations (HRR), hyperdimensional computing) for structured LLM grounding * Aligning vector-based meaning representations with symbolic/typed structures We invite paper submissions in two distinct tracks: * regular papers on substantial and original research, including empirical evaluation results, where appropriate – 8 pages excluding references and potential ethics statements; * short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces – 4 pages excluding references and potential ethics statements. Invited speakers Naiara Perez (University of the Basque Country) Shira Wein (Amherst College) Paper Submission and Templates * Submission follows the LREC 2026 conference instructions, using the Softconf START conference management system accessible through the following link: https://softconf.com/lrec2026/SLiDE/ * Submissions should follow the LREC stylesheet, available on the conference website on the <https://lrec2026.info/authors-kit/> Author’s kit<https://lrec2026.info/authors-kit/> page. Papers must be anonymized to support double-blind reviewing. Important Dates February 22, 2026: Paper submission deadline March 15, 2026: Notification of acceptance March 25, 2026: Camera-ready papers May 2026: Workshop at LREC 2026 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). Workshop Organizers Jan Hajič (Prague University, Czech Republic) Erhard Hinrichs (Tübingen University, Germany) Sandra Kübler (Indiana University, USA) Joakim Nivre (Uppsala University, Sweden) Petya Osenova (Sofia University, Bulgaria) James Pustejovsky (Brandeis University, USA)

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Postdoc positions at the ELLIS Institute Finland
by Tiedemann, Jörg 14 Jan '26

14 Jan '26

The ELLIS Institute Finland, a newly established world-class research hub in AI and machine learning, invites applications for postdoctoral researcher positions. Deadline February 9, 2026. Call with all details: https://www.ellisinstitute.fi/postdoc-recruit-2026 Research units and PIs in the call: Institute faculty and staff<https://www.ellisinstitute.fi/people> and the wider ELLIS community in Finland<https://www.ellisinstitute.fi/ellis-community-in-finland> We are seeking postdoctoral researchers to join the ELLIS Institute Finland and its wider research community. We welcome applications across all areas of machine learning, artificial intelligence, and related fields. Your research can be theoretical, applied, or span both. We offer independent postdoctoral researcher positions within the groups of experienced supervisors, with opportunities to work on ambitious, high-impact projects. Research environment You will join a cooperative and multidisciplinary environment for AI research: * Cutting-edge computational resources, including EuroHPC LUMI, one of the world’s fastest and greenest supercomputers, and an upcoming pan-European AI-optimized supercomputer (available by 2027) * Close collaborations with other top machine learning researchers in Europe and globally * Broad range of possibilities to work with companies and startups, fostering innovation and real-world applications of AI * An inclusive and international workplace, with English as the working language We are strongly committed to offering everyone an inclusive and non-discriminating working environment and warmly welcome applicants from diverse backgrounds to join our academic community. Job details Key information about the positions: * Positions are hosted at ELLIS Institute Finland and/or one of its partner universities. * All positions are fully funded and the salaries are based on the Finnish universities’ pay scale. * Positions are typically offered for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. Requirements Key requirements for the positions: * You hold (or expect to shortly receive) a PhD in computer science, statistics, electrical engineering, mathematics or a related field. * You have previous experience in machine learning, statistics, artificial intelligence or a related field, preferably demonstrated by publication record in a top-tier venue in machine learning-driven fields*. Other merits demonstrating suitability for a researcher position can also be considered. * The positions require the ability to work both independently and as part of a team in a highly collaborative and interdisciplinary environment. Excellent command of written and spoken English is required. How to apply Applications must be submitted electronically through the Apply here! link. The call will close on February 9, 2026 at 23:59 EET (UTC+2). Required documents (in English and in PDF format): * Cover letter (1–2 pages, see Q6 below) * CV * List of publications, highlighting up to five key papers with links * Transcript of doctoral and MSc studies * Degree certificate of your latest degree – if you don’t yet have a PhD degree, a plan of completion must be submitted In the application form, you are also asked to provide contact details of 2–3 senior academics who can provide references For inquiries, please email contact(a)ellisinstitute.fi. An FAQ is on https://www.ellisinstitute.fi/postdoc-recruit-2026 ***************************************************************** Jörg Tiedemann Language Technology https://blogs.helsinki.fi/language-technology/ University of Helsinki

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Call for Papers: ACL 2026 Industry Track
by ACL Announcements 13 Jan '26

13 Jan '26

Call for Papers: ACL 2026 Industry Track ACL 2026 Industry Track in San Diego, CA, United States Conference: July 2 - 7, 2026 Paper submission deadline: February 14, 2026 BACKGROUNDPERMALINK Language technologies are an integral and critical part of our daily lives. Many of these applications have their roots in academic and industrial research laboratories where researchers invented a plethora of algorithms, benchmarked them against shared datasets and perfected their performance to provide plausible solutions to real-world applications. While a controlled laboratory setting is vital for a deeper scientific understanding of the problems underlying language technologies and the impact of algorithmic design choices on their performance, transitioning the technology to real-world industrial strength applications raises a different, yet challenging, set of technical issues. We acknowledge the challenges when adapting language technologies for building novel and robust real-world applications as the journey from theoretical research to practical deployment can be difficult. Challenges can include technical aspects of system deployment and optimizing for efficiency, making informed design choices or methodological considerations of incorporating human feedback, evaluation and oversight. To provide a forum to address these multifaceted issues, we are seeking submissions that not only dive into research but also demonstrate the application of systems in real-world scenarios, irrespective of whether they involve proprietary data. TOPICSPERMALINK We invite submissions describing innovations and implementations in all areas of speech and natural language processing (NLP) technologies and systems that are relevant to real-word applications. The primary focus of this track is on papers that advance the understanding of, and demonstrate the effective handling of, practical issues related to the deployment of language processing or language generation technologies, including those of large language models, in non-trivial real-world systems, meaning: applications deployed for real-world use, i.e., outside controlled environments such as laboratories, classrooms or experimental crowd-sourced setups, also including applications that use NLP and/or speech technology, even if not state of the art in terms of research. There is no requirement that the system be made by a for-profit company, but the users of the system are most likely outside the NLP research community. This track provides an opportunity to highlight the key insights and new research challenges that arise from real world implementations. Relevant areas include: A. System design, efficiency, maintainability and scalability of real-world applications, with topics in alphabetical order including, but not limited to: * Benchmarks and methods for improving the latency and efficiency of systems * Continuous maintenance and improvement of deployed systems * Efficient methods for training and inference * Enabling infrastructure for large-scale deployment * Handling unexpected user behaviour * Human-in-the-Loop approaches to application development * Implementation at speed, scale and low-cost * Negative results related to real-world applications * System combination B. Novel applications and use cases, with topics in alphabetical order including, but not limited to: * Best practices and lessons learned * Case studies, from design to deployment * Description of an application or system * Design of application-relevant datasets * Development of methods under system constraints (model or data size) * Novel, previously unsolved NLP problems and novel NLP applications C. Methods for deployed systems, with topics in alphabetical order including, but not limited to: * Ethics, bias, fairness, harmlessness and trustworthiness in deployed systems * Interpretability * Interactive systems * Offline and online system evaluation methodologies * Online learning * Robustness In addition, opinion/vision papers related to real-world applications are also welcome. Submissions must clearly identify one of the following three areas they fall into: * _Deployed_: Must describe a system that solves a non-trivial real-world problem. The focus may include describing the problem related to actual use cases, its significance (against opportunity size, value proposition, and ideal end state), design/formulation of methods, tradeoff design decision for solutions, deployment challenges, and lessons learned. * _Emerging_: Must describe the development of a system that solves a non-trivial real-world problem (it need not be deployed or even close, but there needs to be evidence that this development is intended for real-world deployment). Papers that describe enabling infrastructure for large-scale deployment of NLP techniques also fall in this category. * _Discovery_: Must include results obtained from NLP applications in real-world scenarios that result in actionable insights. These discoveries should reveal promising directions in their application areas, leading to further system or societal enhancements. For example, an actionable discovery from an analysis of call center transcripts may reveal that certain language choices negatively impact customer experience, leading to better training of service representatives and improved customer experience. IMPORTANT DATESPERMALINK Paper submission deadline February 14, 2026 Author response deadline March 29, 2026 Notification of acceptance April 12, 2026 Camera-ready deadline April 19, 2026 Main conference July 2-7, 2026 All deadlines are 11.59 pm UTC -12h (anywhere on earth). Following the ACL and ARR Policies for Review and Citation, updated in early 2024, there is no anonymity period requirement, e.g., one may upload the paper to arXiv at any time. Please note that the ACL 2026 Industry Track does not use ARR! EVALUATION AND DECISION CRITERIAPERMALINK Submissions will be reviewed in a double-blind manner and assessed based on their novelty, technical quality, potential impact, and clarity. Submissions to the industry track should emphasize real-world implementations of NLP systems, the development of such systems, or provide insights based on real-world datasets with obvious industry impact. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and reproducible (though the data may be proprietary); in that regard, due to the type of work we expect to be submitted to the Industry Track, we ask authors to pay specific attention to their evaluation methodologies (human vs. automated). SUBMISSION REQUIREMENTSPERMALINK Authors are invited to submit original, full-length (6 pages) industry track papers that are not previously published, accepted to be published, or under consideration for publication in any other forum. Manuscripts should be submitted digitally, in PDF format and formatted using the ACL 2026 formatting requirements. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be desk-rejected. Length and appendices: Industry Track papers cannot exceed 6 pages in length (excluding ethical considerations and references). After the bibliography, papers can have an optional appendix with, e.g., examples or sample inputs/outputs, pre-processing decisions, model parameters, feature templates, pseudocode, information about user studies, additional errors analysis or other details that are necessary for the replication of the work described in the paper. Note, however, that paper submissions must be fully self-contained, i.e., supplementary materials, as provided in the appendix, are completely optional, and reviewers are not even asked to review them. Note that it will not be possible to submit additional separate files as supplementary materials. Authors are asked not to abuse the option of an unlimited appendix and only to include material that supports the primary messages and content of the paper; to avoid any misunderstandings regarding the nature of the appendix, for the final papers, especially those with an appendix of excessive length, the ACL 2026 Industry Track chairs reserve the right to include a statement that it was not mandatory for reviewers to review the material presented in the appendix. Double-blind review: Industry Track submissions must neither include the authors' names nor their affiliations. Self-references that reveal the authors' identities must be avoided. For example, instead of "We previously showed (Smith, 1991) …" or even "We previously showed (Anonymous, 1991) …", please use "Smith (1991) previously showed …". Authors should also be careful not to reveal their affiliation indirectly, for example through screenshots or trade names. Submissions should avoid links to non-anonymized repositories: code should be submitted as a link to an anonymized repository (e.g., Anonymous GitHub or Anonym Share). Please avoid links to storage services like Dropbox (which may track the reviewers downloading the resources). Papers that do not conform to these requirements will be desk-rejected. Citation and comparison: Authors are expected to cite all refereed publications relevant to their submission but may be excused for not knowing about all unpublished work (especially work that has been recently posted and/or is not widely cited). In cases where a preprint has been superseded by a refereed publication, the refereed publication should be cited in addition to or instead of the preprint version. Papers (whether refereed or not) appearing less than 3 months before the submission deadline are considered contemporaneous to a submission, and authors are therefore not obliged to make detailed comparisons that require additional experimentation and/or in-depth analysis. For more information, see the ACL Policies for Review and Citation. Writing assistance: The ACL 2026 Industry Track adheres to the ACL policy on using writing assistants (including AI-based writing assistants and other AI tools) available here. Submission system: Papers have to be submitted through the ACL 2026 Industry Track online submission system. The submission link will be provided soon. Final version: Accepted papers will be given one additional page of content (up to 7 pages; ethical considerations, acknowledgements and references do not count against this limit) so that reviewers' comments can be taken into account. Previous presentations of the work (e.g., preprints on arXiv.org) should be indicated in a footnote that should be excluded from the review submission, but included in the final version of papers appearing in the ACL 2026 proceedings. The final version should remove anonymization in text, citation, and figures. For example, the final version may include the name of the authors' institutions, trademarks, and screenshots of identifiable products. Please notice that once the paper has been submitted, no changes to the list of authors are allowed. Presentation requirement for accepted papers: Industry Track papers will be presented orally or as posters, to be determined by the program committee. All accepted papers must be presented at the conference (either via online or onsite presence). At least one author of each accepted paper must register for ACL 2026 by the early registration deadline. The ACL 2026 Industry Track will run in parallel with the Research Track. Presentation Mode: Accepted papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between papers presented orally or as posters Authorship: The author list for submissions should include all (and only) individuals who made substantial contributions to the work presented. Each author listed on a submission to the ACL 2026 Industry Track will be notified of submissions and the final decision. No changes to the order or composition of authorship may be made to submissions to the ACL 2026 Industry Track after the paper submission deadline MULTIPLE SUBMISSION POLICYPERMALINK ACL 2026 will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the ACL 2026 review period. This policy covers all refereed and archival conferences and workshops (e.g., NeurIPS, ACL workshops), as well as ARR. In addition, we will not consider any paper that overlaps significantly in content or results with papers that have been (or will be) published elsewhere. Authors submitting more than one paper to ACL 2026 must ensure that their submissions do not overlap significantly (>25%) with each other in content or results. Submissions of identical or closely related work to multiple ACL 2026 tracks (e.g., to the research track and industry track) will be treated as duplicate submissions. Such submissions violate our multiple submission policy and will be rejected without review. The authors should also include the papers that their paper overlaps with or extends in the references section as follows: _Anonymous Authors_, "_Title of the paper_", _Under submission at ACL 2026 (TRACK NAME)_. ETHICS POLICYPERMALINK Authors are required to honor the ethical code set out in the ACL Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code. Where a paper may raise ethical issues, we ask that you include in the paper an explicit discussion of these issues, which will be taken into account in the review process. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns with their work. Authors will be allowed extra space after the sixth page for an optional broader impact statement or other discussion of ethics. The ACL review form will include a section addressing these issues and papers flagged for ethical concerns by reviewers or ACs will be further reviewed by an ethics committee. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted. Conversely, the mere inclusion of an ethical considerations section does not guarantee acceptance. In addition to acceptance or rejection, papers may receive a conditional acceptance recommendation. Camera-ready versions of papers designated as conditional accept will be re-reviewed by the ethics committee to determine whether the concerns have been adequately addressed. Please read the ethics FAQ for more guidance on some problems to look out for and key concerns to consider relative to the code of ethics. CONTACT INFORMATIONPERMALINK Industry Track Co-Chairs: * Yunyao Li (Adobe) * Georg Rehm (DFKI GmbH) * Mei Tu (Samsung) Email: acl-2026-industry-track(a)googlegroups.com General Chair: Philipp Koehn (Johns Hopkins University)

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