- Corpora - ELRA lists

HealTAC 024 - second call for contributions
by Jaya Chaturvedi 22 Mar '24

22 Mar '24

---------------------------- HealTAC 2024 June 12-14th, 2024, Lancaster (UK) https://healtac2024.github.io/ [healtac2024.github.io]<https://urldefense.com/v3/__https:/healtac2024.github.io/__;!!PDiH4ENfjr2_J…> ---------------------------- 1) Second call for contributions: deadline extended to April 8th 2) Keynote speakers: Suzan Verberne and Alistair Johnson 3) Tutorial: ‘Healthcare Text Analytics in the Era of LLMs’ (12 June) Second call for contributions The 7th Healthcare Text Analytics Conference (HealTAC 2024) invites contributions that address any aspect of healthcare text analytics. This year, we invite submissions in the form of extended abstracts that describe either methodological or application work that has not been previously presented in a conference. Submissions (up to 2 pages) should be prepared based on a template that is available at the conference web site. We also invite PhD and fellowship project submissions that describe ongoing PhD research (any stage) or a planned fellowship application. The conference will provide an opportunity to receive constructive feedback from a panel of experts. As in previous years, there will be a post-conference open call to submit a journal length paper for further peer review and publication in Frontiers in Digital Health. Submission site: https://easychair.org/conferences/?conf=healtac2024 [easychair.org]<https://urldefense.com/v3/__https:/easychair.org/conferences/?conf=healtac2…> Updated key dates : Deadline for all contributions: April 8th 2024 Notification of acceptance: April 24th 2024 Tutorial: June 12th 2024 Conference: June 13-14th 2024 Keynote speakers We are pleased to announce that the keynote speakers at HealTAC 2024 will be Suzan Verberne (Leiden University) and Alistair Johnson (Glowyr). Tutorial We are also pleased that a team from the Institute of Health Informatics, University College London (Yunsoo Kim, Jinge Wu, Honghan Wu) will deliver a tutorial on 'Healthcare Text Analytics in the Era of Large Language Models'. Announcements Follow the conference announcements on social media at #HEALTAC2024 We are looking forward to welcoming you to HealTAC 2024. Jaya Chaturvedi KCL DRIVE-Health CDT PhD Student (drive-health.org) Department of Biostatistics and Health Informatics C3.15, Social Genetic and Developmental Psychiatry Centre Institute of Psychiatry, Psychology & Neuroscience King’s College London PO Box 80, De Crespigny Park London SE5 8AF Pronunciation: Juh-yaa Pronouns: she/her GitHub: https://github.com/jayachaturvedi X: @JayaChatur Project website: https://sites.google.com/view/pain-mental-health/home If you receive an email from me outside of normal working hours, please do not feel the need to respond outside of your own working hours.

1 1

CFP for the LLcD 2024 Conference
by Pascal Denis 22 Mar '24

22 Mar '24

Hi there, Could you please distribute the following call for paper? thanks. Best, Pascal Denis =================================================================================================================================================== Langues et langage à la croisée des disciplines ( LLcD ) is a new research network, supported by the French CNRS. It organizes an international conference in France aiming to advance the scientific understanding of human language and linguistic systems, as well as to foster new collaborations and cross-fertilization among different research areas and approaches. The LLcD Meeting, slated to occur annually, will change its location and its thematic focus every year. It will be organized around a conference, as well as a panel discussion and a summer school, both within the theme promoted that year. The LLcD conference will feature plenary lectures delivered by invited keynote speakers, a general session and thematic workshops. The first edition of the conference is scheduled to take place at Sorbonne University, Paris, from September 9th to September 11th, 2024 . Its main theme will be: Languages, variations, changes: synchronic, diachronic, typological and comparative approaches. We invite papers on all sub-fields of linguistics, languages, approaches (descriptive, theoretical, empirical, interdisciplinary, etc.), in order to promote diversity across disciplines and methodologies. The proposals are not required to address the main theme of the conference. The languages of the conference are English and French. Abstracts may be submitted for thematic workshops or the general session, no later than April 20, 2024 , on EasyChair . [ https://llcd2024.sciencesconf.org/resource/page/id/18 | List of workshops ] Abstracts must clearly state the research questions, approach, method, data and (expected) results. They must be anonymous: not only must they not contain the presenters' names, affiliations or addresses, but they must avoid any other information that might reveal their author(s). They should not exceed 500 words (including examples, but excluding bibliographical references). Each submission is subject to three reviews. Abstracts submitted for the general session will be evaluated by three members of the Scientific Committee. Abstracts submitted for workshops will be assessed by two members of the Scientific Committee and (one of) the workshop organizer(s). EasyChair submission page: [ https://easychair.org/conferences/?conf=llcd2024 | https://easychair.org/conferences/?conf=llcd2024 ] Contact: [ mailto:llcd@sciencesconf.org | llcd(a)sciencesconf.org ] -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

1 0

Call for Participation: "Help us break LLMs" - Test suite sub-task of the Ninth Conference on Machine Translation (WMT24)
by Eleftherios Avramidis 22 Mar '24

22 Mar '24

The “test suites” sub-task will be included for the sixth time in the General MT Shared Task of the Conference on Machine Translation (WMT24). *OVERVIEW* Test suites are custom extensions to the test sets of the General MT Shared Task, constructed so that they can focus on concrete aspects of the MT output. They consist of a source-side test-set and a customized evaluation service. As opposed to the standard evaluation process which produces generic quality scores, test suites often produce separate fine-grained results for each phenomenon. Since the usage of LLMs for translation is getting more popular, and we are expecting more LLMs participations in WMT this year, the theme of this year’s test suite sub-task is "Help us break LLMs", i.e. to reveal weaknesses and serious flaws of LLMs when translating, hidden within the overall high-quality generation. *IMPORTANT DATES* * 11th April: Test suite source texts may be submitted for a pre-run on SoTA MT systems * 12th June: Test suite source texts must reach us * 11th July: Translated test suites shipped back to test suites authors: * TBC - August: Test suite description and analysis paper * 12th-13th November: Conference Potential participants are kindly requested to fill in this form https://forms.office.com/e/e4JuMTSWFF <the “Test suites” sub-task will be included for the sixth time in the General MT Shared Task of the Conference on Machine Translation (WMT24). , ,,*OVERVIEW* ,,Test suites are custom extensions to the test sets of the General MT Shared Task, constructed so that they can focus on concrete aspects of the MT output. They consist of a source-side test-set and a customized evaluation service. As opposed to the standard evaluation process which produces generic quality scores, test suites often produce separate fine-grained results for each phenomenon. ,,Since the usage of LLMs for translation is getting more popular, and we are expecting more LLMs participations in WMT this year, the theme of this year’s test suite sub-task is "Help us break LLMs", i.e. to reveal weaknesses and serious flaws of LLMs when translating, hidden within the overall high-quality generation. ,, ,,*IMPORTANT DATES* ,,11th April: Test suite source texts may be submitted for a pre-run on SoTA MT systems ,,12th June: Test suite source texts must reach us ,,18th July: Translated test suites shipped back to test suites authors: ,,TBC - August: Test suite description and analysis paper ,, ,,Potential participants are kindly requested to fill in this form ,,https://forms.office.com/e/e4JuMTSWFF ,, ,,Further information can be found in the dedicated page of the WMT website ,,http://www2.statmt.org/wmt24/testsuite-subtask.html> Further information can be found in the dedicated page of the WMT website http://www2.statmt.org/wmt24/testsuite-subtask.html <http://www2.statmt.org/wmt24/testsuite-subtask.html> -- Eleftherios Avramidis, senior researcher German Research Center for Artificial Intelligence (DFKI) departments: Design Research eXplorations, Speech and Language Technology short name: Lefteris, (pronouns: he/him), languages: English, German, Greek Website:https://www.dfki.de/~elav01 Address: Alt Moabit 91c, 10559 Berlin, Germany Tel.: +49 30 23895 1806 Sec.: +49 30 23895 1800 Fax.: +49 30 23895 1810 Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger, Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313

1 0

CAiSE'24: Last Call for Journal First Submissions
by Announce 22 Mar '24

22 Mar '24

*** Last Call for Journal First Submissions *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: 31st March, 2024 AoE ***) CAiSE 2024 is organising journal-first sessions as part of the scientific program. The aim of these sessions is to disseminate recent important research contributions and spark discussions between authors and researchers in the CAiSE community. Authors of selected journal articles on CAiSE-related topics will be invited to present their work at the conference. SCOPE For the journal-first sessions, we solicit submissions related to articles that have been accepted for publication by a reputable journal and that meet the following criteria: • The article relates to the topics of the CAiSE conference and the recent call for papers. • The article is an original submission to the journal and not an extension of an earlier conference or workshop paper. • The article is an original research article; review articles or commentaries will not be considered. • The article was accepted for publication by a journal on or after 1 January 2023, the acceptance must have been publicly announced, the article must be available at the publisher’s website (e.g., as "articles in advance" or published on a journal’s website), and the article must be written in English. • The article has not been presented at, and is not under consideration for, journal-first tracks of other conferences. FORMAT Accepted submissions will be presented as part of the CAiSE 2024 scientific programme. SUBMISION Submissions must be done electronically via Easychair (https://easychair.org/my/conference?conf=caise2024) and include: • Title and author information of the article. • The original abstract and keywords. • DOI of the original publication or, alternatively, a link to the publication at the journal’s website. EVALUATION All submissions will be reviewed by the track chairs with the aim to accept all qualifying submissions subject to ability to accommodate them in the program. If needed, priority will be given to submissions according to their topical fit with the scope of the conference, the importance of the contribution, as well as the standing of the respective journal (including, but not limited to, the journal's impact factor and ranking results). ATTENDANCE AND PRESENTATION At least one author of each submission accepted for the journal-first track must register and attend the conference to present the work. The author needs a full registration to present the journal article. As the articles of the journal-first track have been published already, they will not be part of the CAiSE 2024 proceedings. The articles will be listed in the conference program and CAiSE 2024 participants will have access to the respective abstracts and a pointer to the original journal article. IMPORTANT DATES • Submission: 31st March, 2024 (AoE) • Notification of Acceptance: 14th April, 2024 • Author Registration: 17th May, 2024 • Conference Dates: 3rd-7th June, 2024 JOURNAL FIRST CHAIRS • Paolo Giorgini, University of Trento, Italy • Jeffrey Parsons, Memorial University of Newfoundland, Canada

1 0

Preliminary Call for Papers – Special issue of Information Processing & Management on Large Language Models and Data Quality for Knowledge Graphs
by Stefano Marchesin 22 Mar '24

22 Mar '24

Apologies for crossposting. Call for Papers Information Processing & Management (IPM), Elsevier - CiteScore: 14.8 - Impact Factor: 8.6 Guest editors: - Omar Alonso, Applied Science, Amazon, Palo Alto, California, USA. E-mail: omralon(a)amazon.com - Stefano Marchesin, Department of Information Engineering, University of Padua, Padua, Italy. E-mail: stefano.marchesin(a)unipd.it - Gianmaria Silvello, Department of Information Engineering, University of Padua, Padua, Italy. E-mail: gianmaria.silvello(a)unipd.it Special Issue on “Large Language Models and Data Quality for Knowledge Graphs” In recent years, Knowledge Graphs (KGs), encompassing millions of relational facts, have emerged as central assets to support virtual assistants and search and recommendations on the web. Moreover, KGs are increasingly used by large companies and organizations to organize and comprehend their data, with industry-scale KGs fusing data from various sources for downstream applications. Building KGs involves data management and artificial intelligence areas, such as data integration, cleaning, named entity recognition and disambiguation, relation extraction, and active learning. However, the methods used to build these KGs involve automated components that could be better, resulting in KGs with high sparsity and incorporating several inaccuracies and wrong facts. As a result, evaluating the KG quality plays a significant role, as it serves multiple purposes – e.g., gaining insights into the quality of data, triggering the refinement of the KG construction process, and providing valuable information to downstream applications. In this regard, the information in the KG must be correct to ensure an engaging user experience for entity-oriented services like virtual assistants. Despite its importance, there is little research on data quality and evaluation for KGs at scale. In this context, the rise of Large Language Models (LLMs) opens up unprecedented opportunities – and challenges – to advance KG construction and evaluation, providing an intriguing intersection between human and machine capabilities. On the one hand, integrating LLMs within KG construction systems could trigger the development of more context-aware and adaptive AI systems. At the same time, however, LLMs are known to hallucinate and can thus generate mis/disinformation, which can affect the quality of the resulting KG. In this sense, reliability and credibility components are of paramount importance to manage the hallucinations produced by LLMs and avoid polluting the KG. On the other hand, investigating how to combine LLMs and quality evaluation has excellent potential, as shown by promising results from using LLMs to generate relevance judgments in information retrieval. Thus, this special issue promotes novel research on human-machine collaboration for KG construction and evaluation, fostering the intersection between KGs and LLMs. To this end, we encourage submissions related to using LLMs within KG construction systems, evaluating KG quality, and applying quality control systems to empower KG and LLM interactions on both research- and industrial-oriented scenarios. Topics include but are not limited to: - KG construction systems - Use of LLMs for KG generation - Efficient solutions to deploy LLMs on large-scale KGs - Quality control systems for KG construction - KG versioning and active learning - Human-in-the-loop architectures - Efficient KG quality assessment - Quality assessment over temporal and dynamic KGs - Redundancy and completeness issues - Error detection and correction mechanisms - Benchmarks and Evaluation - Domain-specific applications and challenges - Maintenance of industry-scale KGs - LLM validation via reliable/credible KG data Submission guidelines: Authors are invited to submit original and unpublished papers. All submissions will be peer-reviewed and judged on originality, significance, quality, and relevance to the special issue topics of interest. Submitted papers should not have appeared in or be under consideration for another journal. Papers can be submitted from 1 June 2024 to 1 September 2024. The estimated publication date for the special issue is 15 January 2025. Papers submission via IP&M electronic submission system: https://www.editorialmanager.com/IPM Instructions for authors: https://www.sciencedirect.com/journal/information-processing-and-management… To submit your manuscript to the special issue, please choose the article type: "VSI: LLMs and Data Quality for KGs". More info here: https://www.sciencedirect.com/journal/information-processing-and-management… Important dates: - Submissions open: 1 June 2024 - Submissions close: 1 September 2024 - Publication date: 15 January 2025 References: Weikum G., Dong X.L., Razniewski S., et al. (2021) Machine knowledge: creation and curation of comprehensive knowledge bases. Found. Trends Databases, 10, 108–490. Hogan A., Blomqvist E., Cochez M. et al. (2021) Knowledge graphs. ACM Comput. Surv., 54, 71:1–71:37. B. Xue and L. Zou. 2023. Knowledge Graph Quality Management: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 35, 5 (2023), 4969 – 4988 G. Faggioli, L. Dietz, C. L. A. Clarke, G. Demartini, M. Hagen, C. Hauff, N. Kando, E. Kanoulas, M. Potthast, B. Stein, and H. Wachsmuth. 2023. Perspectives on Large Language Models for Relevance Judgment. In Proc. of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023. ACM, 39 – 50. S. MacAvaney and L. Soldaini. 2023. One-Shot Labeling for Automatic Relevance Estimation. In Proc. of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023. ACM, 2230 – 2235. X. L. Dong. 2023. Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. Proc. VLDB Endow. 16, 12 (2023), 4130 – 4137. S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, and X. Wu. 2023. Unifying Large Language Models and Knowledge Graphs: A Roadmap. CoRR abs/2306.08302 (2023). -- Stefano Marchesin, PhD Assistant Professor (RTD/a) Information Management Systems (IMS) Group Department of Information Engineering University of Padua Via Gradenigo 6/a, 35131 Padua, Italy Home page: http://www.dei.unipd.it/~marches1/

1 0

[CfP] Deadline extended: Workshop on Reclaiming the Narrative: Digital Recovery, AI & Mitigating Harm in Social Media @ ICWSM 2024
by Steve Wilson 21 Mar '24

21 Mar '24

Join us for the 1st workshop on “Reclaiming the Narrative: Digital Recovery, AI & Mitigating Harm in Social Media” at ICWSM! If you work in harm reduction, NLP, AI, Social Sciences, recovery, HCI, and adjacent narrative studies, this one’s for you! * When: June 3, 2024. * Format: Hybrid (@Buffalo, NY and Zoom) * [NEW] Submission deadline extended to: April 1 We invite submissions of abstracts (2 pages), as well as Long (8 pages) and Short (4 pages) papers, excluding references and appendices. The Long and Short papers will be included in the ICWSM Workshop proceedings, published by AAAI Press. For more details, please visit https://sites.google.com/view/reclaiming-the-narrative/

1 0

[CfP] SIGIR Workshop on evaluating IR systems with Large Language Models (LLM4EVAL)
by Guglielmo Faggioli 21 Mar '24

21 Mar '24

Overview The first workshop on evaluating IR systems with Large Language Models (LLMs) is accepting submissions that describe original research findings, preliminary research results, proposals for new work, and recent relevant studies already published in high-quality venues. The workshop will have both an in-person and virtual component, and submissions are welcome even for researchers who cannot attend in person, as they will present their work in the virtual component. Topics of interest We welcome both full papers and extended abstract submissions on the following topics, including but not limited to: - LLM-based evaluation metrics for traditional IR and generative IR. - Agreement between human and LLM labels. - Effectiveness and/or efficiency of LLMs to produce robust relevance labels. - Investigating LLM-based relevance estimators for potential systemic biases. - Automated evaluation of text generation systems. - End-to-end evaluation of Retrieval Augmented Generation systems. - Trustworthiness in the world of LLMs evaluation. - Prompt engineering in LLMs evaluation. - Effectiveness and/or efficiency of LLMs as ranking models. - LLMs in specific IR tasks such as personalized search, conversational search, and multimodal retrieval. - Challenges and future directions in LLM-based IR evaluation. Submission guidelines We welcome the following submissions: - Previously unpublished manuscripts will be accepted as extended abstracts and full papers (any length between 1 - 9 pages) with unlimited references, formatted according to the latest ACM SIG proceedings template available at http://www.acm.org/publications/proceedings-template. - Published manuscripts can be submitted in their original format. All submissions should be made through Easychair: https://easychair.org/conferences/?conf=llm4eval All papers will be peer-reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. For already published studies, the paper can be submitted in the original format. These submissions will be reviewed for their relevance to this workshop. All submissions must be in English (PDF format). Please note the workshop will have an in-person (to be held with SIGIR 2024) and virtual component (to be held at a later date on SIGIR VF). During submission, the authors should select their preferred component. All accepted papers will have a poster presentation with a few selected for spotlight talks. Accepted papers may be uploaded to arXiv.org, allowing submission elsewhere as they will be considered non-archival. The workshop’s website will maintain a link to the arXiv versions of the papers. Important Dates - Submission Deadline: April 25th, 2024 (AoE time) - Acceptance Notifications: May 31st, 2024 (AoE time) - Workshop date: July 18, 2024 Website and Contact More details are available at https://llm4eval.github.io/cfp/. For any questions about paper submission, you may contact the workshop organizers at llm4eval(a)easychair.org

1 0

Mapping of American English vocabulary by grade levels
by Flor, Michael 21 Mar '24

21 Mar '24

Dear colleagues, We are happy to announce the availability of the following lexical resource: A graded word list of American English, for 126K words. The publication is: Flor, M., Holtzman, S., Deane, P., & I. Bejar (2024). Mapping of American English vocabulary by grade levels. ITL - International Journal of Applied Linguistics. DOI: https://doi.org/10.1075/itl.22025.flo The resource is available at GitHub: https://github.com/maafiah/VXGL Michael Flor Senior Research Scientist Research Division Educational Testing Service Princeton, NJ, USA mflor(a)ets.org<mailto:mflor@ets.org> ________________________________ This e-mail and any files transmitted with it may contain privileged or confidential information. It is solely for use by the individual for whom it is intended, even if addressed incorrectly. If you received this e-mail in error, please notify the sender; do not disclose, copy, distribute, or take any action in reliance on the contents of this information; and delete it from your system. Any other use of this e-mail is prohibited. Thank you for your compliance. ________________________________

1 0

Job : Poste MCF Section 71, Universite de Lille
by Amel Fraisse 21 Mar '24

21 Mar '24

Cher.e.s, collègues, un poste d’enseignant-chercheur (MCF) en Sciences de l’information et de la communication est ouvert au concours lors de la campagne sychronisée 2024. Le profil de poste "Mutations de l'information et de la communication scientifique » est disponible sur galaxie : https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPub… La personne recrutée effectuera ses recherches au sein du laboratoire Geriico. Les enseignements s’effectueront au sein du département INFODOC de l’université de Lille. Bien cordialement, Amel Fraisse. <> Amel Fraisse Maitresse de Conférences Directrice Département INFODOC Université de Lille - Département INFODOC - Laboratoire GERiiCO amel.fraisse(a)univ-lille.fr <mailto:prenom.nom@univ-lille.fr> / https://pro.univ-lille.fr/amel-fraisse/ <http://www.univ-lille.fr/> Domaine Universitaire de Pont de Bois - Villeneuve d'Ascq Bât. 2 - bureau B2.467 T. +33 (0)3 20 41 69 38

1 0

[CFP] 1st Call for Participation - ISWC-LLMs4OL 2024 Challenge: Large Language Models for Ontology Learning
by Jennifer D'Souza 21 Mar '24

21 Mar '24

[apologies if you received multiple copies of this call] Dear colleagues and friends, *We are pleased to release the 1st Call for Participation - LLMs4OL Challenge collocated with The International Semantic Web Conference (ISWC 2024)* *Overview:* LLMs4OL stands for "Large Language Models for Ontology Learning." The LLMs4OL paradigm was first introduced in our research paper ( https://link.springer.com/chapter/10.1007/978-3-031-47240-4_22) published in the ISWC 2023 main conference proceedings. In this context, we aimed to test the readiness of LLMs to address the Ontology Learning (OL) task w.r.t. three main subtasks: 1) Term Typing, 2) Type Taxonomy Discovery, and 3) Non-Taxonomic Relation Extraction. Therein our evaluations included ontolgies from various knowledge domains, i.e. lexicosemantics (WordNet), geography (GeoNames), biomedicine (NCI, MEDICIN, SNOMEDCT), and web content types (schema.org). With the ISWC-LLMs4OL 2024 challenge, we aim to catalyze community-wide engagement in validating and expanding the use of LLMs in OL by releasing our evaluation datasets publicly in the community. This initiative is poised to advance our comprehension of LLMs’ roles within the Semantic Web, encouraging innovation and collaboration in developing scalable and accurate OL methods. More info on the task website: https://sites.google.com/view/llms4ol/ The LLMs4OL Challenge will be divided into two evaluation phases: - Evaluation Phase 1: Few-shot Testing; - Evaluation Phase 2: Zero-shot Testing *Dates* Training datasets available: March 30, 2024 Test data available (Task A): May 27, 2024 Evaluation ends (Task A): June 4, 2024 Test data available (Tasks B & C): June 5, 2024 Evaluation ends (Tasks B & C): June 18, 2024 Participant papers due: June 28, 2024 Notification to authors: July 19, 2024 Camera ready due: July 30, 2024 ISWC 2024, Baltimore, Maryland, USA: 11-15 November 2024 *Task Organizers* Hamed Babaei Giglou (TIB Leibniz Information Centre for Science and Technology - Germany) Jennifer D’Souza (TIB Leibniz Information Centre for Science and Technology - Germany) Sören Auer (TIB Leibniz Information Centre for Science and Technology - Germany) We look forward to having you on board! *Contact:* llms4ol.challenge [at] gmail.com

1 0

2024

2023

2022