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ACM GoodIT'24: Special Track on Educating for a Sustainable Digital Future -- Last Call for Papers
by Announce 06 May '24

06 May '24

*** Last Call for Papers *** ACM 4th International Conference on Information Technology for Social Good (GoodIT''24) Special Track on Educating for a Sustainable Digital Future https://blogs.uni-bremen.de/goodit2024/ ( *** Submission Deadline: 17 May 2024 ***) SCOPE Exploring the development of our digital future requires a comprehensive examination of both individual and societal consequences. Placing excessive emphasis on individual gains, a common practice in individualistic societies for many years, has hindered the ability to grasp the complex dynamics and forward-thinking mindset essential for the sustainability of a contemporary society. The evolving landscape of technology and the ongoing digital advancements have paved the way for creative applications in the field of education, allowing us to adapt to the ever-changing circumstances. When shaping a new approach for Information Systems and Information Technology education, it is crucial to emphasize the significance of individuals as key stakeholders and integral members of the wider community, while also recognizing the pivotal role of collaboration. In this track, we are searching for papers employing innovative technology and approaches to educate the future generation towards world equality, collegiality, inclusion and a more cooperative learning for a sustainable digital future. Values which are emphasized in the Sustainable Development Goals (SDGs) which overall aim towards creating a more equitable, sustainable, and peaceful world. This track is particularly relevant to IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. TOPICS Potential topics for papers include (but are not limited to): • Sustainable and innovative education technologies and practices • Universal access to quality education • The new role for IS/IT in society and education and the value of information and knowledge • The role of cooperative learning for life-long learning and societal developments • Digital transformation: opportunities and challenges for education, work, and society • Digital learning environments: Innovations and trends • Equality, diversity, and inclusion in education, work, and society • The use of large language models and generative AI in education • New topics and domains in IT-enhanced education We hope to attract the interest of IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. SUBMISSION GUIDELINES Please refer to the instructions on the conference web site: https://blogs.uni-bremen.de/goodit2024/submission-of-papers/ . All accepted papers will be included in the ACM Digital Library . IMPORTANT DATES • Submission deadline: 17 May 2024 (AoE) • Notification of acceptance: 8 July 2024 • Camera ready: 19 July 2024 TRACK CHAIRS • George A. Papadopoulos, University of Cyprus, Cyprus • Vasso Stylianou, University of Nicosia, Cyprus CONTACT DETAILS Vasso Stylianou, stylianou.v(a)unic.ac.cy

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Professorship (W3) in Language Technology, DFKI/Saarland University, Germany
by Dietrich Klakow 06 May '24

06 May '24

Saarland University, Germany, is a campus university with an international focus and a strong research profile. With numerous internationally respected research institutes on campus and dedicated support for collaborative projects, Saarland University is an ideal environment for innovation and technology transfer. The German Research Center for Artificial Intelligence ﴾DFKI﴿ is Germany's leading application‐driven research institute with a core technology transfer mission. DFKI is currently the world's largest research centre for artificial intelligence operated as a public‐private partnership. DFKI maintains close collaborative ties with national and international companies and is firmly rooted in the worldwide scientific AI landscape. To further strengthen this excellence in research and teaching, the Department of Language Science and Technology ﴾LST﴿ in collaboration with the German Research Center for Artificial Intelligence ﴾DFKI﴿ is inviting applications for the following position: Professorship (W3) in Language Technology (m/f/x; Reference: W2464) This position is a permanent public sector appointment ﴾equivalent to a 'full‐tenured professorship'﴿ starting at the earliest possible opportunity. We are looking for an experienced researcher in the field of language technology who has extensive knowledge of natural language processing and machine learning/AI methodologies. Experience with dialogue systems and reinforcement learning, the development of foundation models and/or trustworthy Artificial Intelligence is also desirable. In addition to holding a professorship at the university, the successful candidate will also be appointed as a scientific director at the German Research Center for Artificial Intelligence ﴾DFKI﴿ where they will head a research department. DFKI is an application‐driven research organization that is largely financed through external project funding. A demonstrated ability to attract significant external funding for research projects at the national and international level is therefore essential. We also expect candidates to have experience in interdisciplinary research and in collaborating with industrial partners. The Department of Language Science and Technology is internationally recognized for its collaborative and interdisciplinary research, and the successful candidate will be expected to contribute to relevant joint research initiatives. Language technologies are core elements of our study programmes at the M.Sc./M.A. and B.Sc./B.A. level and the person appointed will teach courses within these programmes. What we can offer you: The successful candidate will conduct world‐class research, lead their own research group at the university and perform teaching and supervisory duties at the undergraduate, graduate and doctoral levels. At DFKI, the person appointed will lead a research department with access to an extensive worldwide network of industrial and other research partners, facilitating research and impact at a scale that is otherwise difficult to achieve. The position offers excellent working conditions in a lively and international scientific community. Saarland University is one of the leading centres for language science and computational linguistics in Europe and offers a dynamic and stimulating research environment. The Department of Language Science and Technology ﴾LST﴿ employs about 100 research staff across nine research groups in the fields of computational linguistics, natural language processing, psycholinguistics, phonetics and speech science, speech processing, and corpus linguistics (https://www.uni‐saarland.de/en/department/lst.html). The department serves as the focal point of the Collaborative Research Centre 1102 'Information Density and Linguistic Encoding' (http://www.sfb1102.uni‐saarland.de) and of the Research Training Group 'Neuroexplicit Models of Language, Vision, and Action' (https://www.neuroexplicit.org/), both of which involve close collaboration with DFKI. The LST department and the DFKI are both part of the Saarland Informatics Campus (SIC: https://saarland‐informatics‐campus.de/en), which brings together some 800 researchers and over 2000 students from 81 countries. SIC is a collaboration between Saarland University and world‐class research institutions on campus, which in addition to DFKI include the Max Planck Institute for Informatics and the Max Planck Institute for Software Systems. Qualifications: The appointment will be made in accordance with the general provisions of German public sector employment law. Candidates must have experience in and an aptitude for academic teaching. They will have a PhD or doctorate in an appropriate subject and will have demonstrated a particular capacity for independent academic research, typically by having obtained an advanced, post‐doctoral research degree ﴾ Habilitation﴿ or by having published an equivalent volume of peer‐reviewed research or by having been appointed to a junior professorship or similar position. They will have a proven track record of leading their own research group and of acquiring external research funding. The successful candidate will be expected to actively contribute to departmental research and teaching. The language of instruction is English ﴾in the M.Sc. and M.A. programmes﴿ and German ﴾in the B.Sc./B.A. programmes﴿. We expect the successful candidate either to have sufficient proficiency to teach in both languages or to be willing to acquire this level of proficiency within an appropriate period. Your Application: Applications should be submitted online at www.uni-saarland.de/berufungen. No additional paper copy is required. The application must contain: • a letter of application and CV/résumé (including your telephone number and email address) • a complete list of your academic publications • a complete list of external funding (stating own share if you were not the sole beneficiary) • your proposed research concept (2–5 pages) • your teaching concept (1 page) • copies of your degree certificates • complete copies of your five most significant publications • the names of three academic references (including email addresses), at least one of whom is not one of your previous academic supervisors. • If you hold a university degree from a foreign university, please provide proof of equivalence from Germany's Central Office for Foreign Education ﴾ZAB﴿ if available. If proof of equivalence has not been requested at the time of application, it must be submitted later upon request. Applications must be received no later than May 30, 2024. Please include the job reference number W2464 when you apply. Selected candidates will be interviewed. If you have any questions, please contact: crocker(a)lst.xn--unisaarland-nf3f.de. At Saarland University, we view internationalization as a process spanning all aspects of university life. We therefore expect members of our professorial staff to engage in activities that promote and foster further internationalization. Special support will be provided for projects that maintain collaborative interactions within existing international cooperative networks, e.g. projects with partners in the European University Alliance Transform4Europe (www.transform4europe.eu) or the University of the Greater Region (www.uni‐ gr.eu) Saarland University is an equal opportunity employer. In accordance with its affirmative action policy, Saarland University is actively seeking to increase the proportion of women in this field. Qualified women candidates are therefore strongly encouraged to apply. Preferential consideration will be given to applications from disabled candidates of equal eligibility. We welcome applications regardless of nationality, ethnic and social origin, religion/belief, age, sexual orientation and identity. When you submit a job application to Saarland University you will be transmitting personal data. Please refer to our privacy notice (https://www.uni-saarland.de/verwaltung/datenschutz/) for information on how we collect and process personal data in accordance with Art. 13 of the General Data Protection Regulation (GDPR). By submitting your application, you confirm that you have taken note of the information in the Saarland University privacy notice.

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[CFP] 2nd CFP: ACLing 2024 || Sept 2024 ||Hybrid Conference|| Dubai, UAE
by Khaled Shaalan 06 May '24

06 May '24

Apologies for cross-postings! ** Please forward to anyone who might be interested ** ************************************************************************************ CALL FOR PAPERS Sixth International Conference on AI in Computational Linguistics (ACLing2024) September 21-22, 2024 (Hybrid Conference) Brochure: http://acling.org/wp-content/uploads/2024/05/ACLing24_CFP.pdf Publication: Procedia Computer Science by ELSEVIER ( https://www.sciencedirect.com/journal/procedia-computer-science) Website: https://acling.org/ ************************************************************************************ * IMPORTANT DATES * Paper submission deadline: 31 May 2024 (Extended and Final) * Notification of Acceptance: 21 June 2024 * Registration: 25 June 2024 * Camera ready version submission: 14 July 2024 * Conference Date: 20 – 21 September 2024‎ ************************************************************************************ INTRODUCTION With the recent advances in the field of Computational Linguistics (CL) brought on by rapid developments in neural models, the goal of this conference is to focus on the application of AI/ML in NLP and CL. The ACLing 2024 aims to bring together leading academicians, scientists, researchers and practitioners from all over the world to exchange new ideas and the latest results in Computational Linguistics and NLP; a field that has become increasingly important. The scope of the conference encompasses the theory and practice of all aspects of AI/ML in Computational Linguistics. The British University in Dubai has been chosen to organize the ACLing2024 conference because it has a mission for establishing itself as a provider of world class scholarship, education and research. TOPICS OF INTEREST ACLing2024 invites researchers from academia and industry to submit their papers on recent, unpublished research that addresses theoretical and practical aspects, algorithms, and architectures of Natural Language Processing systems. Papers describing the creation of resources, as well as survey and discussion papers, are also welcomed. Topics of interest include, but are not limited to: * Large Language Models and their applications * Information Retrieval and Question Answering * Information Extraction * Linguistic Theories and Resources * Language Modeling * Speech and Multimodality * Machine Learning, Text Categorization, and Text Mining * Machine Translation * Multilinguality and Cross-linguality * NLP Applications * Segmentation, Tagging, and Parsing * Semantics * Sentiment Analysis and Opinion Mining * Web, Social Media and Computational Social Science * Natural Language Generation * Text Categorization and Topic Modeling * Text Mining * Language and Vision * AI applications in Computational linguistics HOW TO SUBMIT We encourage submissions that describe original unpublished work not currently under review for any other conference or journal. Submissions should be prepared according to the main conference guidelines and format described at the Submission Web Page: https://acling.org/submission/. All submissions should be written in English and submitted as PDF. Submissions will be peer reviewed by the program committee members. Evaluation criteria will include correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. All the submissions should be submitted via EasyChair: https://easychair.org/my/conference?conf=acling2024 * Long papers: 8 pages including including figures, tables and references. * Short papers: 4 pages including including figures, tables and references. CONFERENCE ORGANIZERS * Prof. Dr. Khaled Shaalan, The British University of Dubai, UAE * Prof. Dr. Samhaa R. El-Beltagy, Newgiza University, Egypt * INDEXING, RANKING, AND IMPACT (web sources): * Abstracting and indexing: https://www.sciencedirect.com/journal/procedia-computer-science/about/insig… * Scopus: https://www.scopus.com/sourceid/19700182801?origin=sbrowse * CiteScore: https://www.scopus.com/sourceid/19700182801?origin=sbrowse * SJR (scimago): https://www.scimagojr.com/journalsearch.php?q=19700182801&tip=sid * ACLingy by Google Citation: https://scholar.google.com/citations?user=jkpMuFMAAAAJ&hl=en * ACLing by DBLP: https://dblp.org/db/conf/acling/index.html FURTHER INFORMATION & CONTACT DETAILS * Visit the conference website link https://acling.org/ (will be updated on a regular basis). * For further information, please contact us at ACLing2024(a)gmail.com

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[CIKM 2024] - Final Call for Full Research Papers
by antonela.tommasel＠isistan.unicen.edu.ar 06 May '24

06 May '24

** Abstract deadline May 13th ** ** One week to go ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining, and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2024 will take place between October 21-25, 2024 in Boise, Idaho, USA. -------------------------- Key Dates -------------------------- * Full Papers abstract: 13 May 2024 * Full Papers: 20 May 2024 * Papers notifications: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We encourage submissions of high-quality research papers on the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, data lake, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, time series, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection, and tracking, understanding, and interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Data preparation, Valuation, and Trading * Information access and retrieval (e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender, and filtering systems) * Users and interfaces for information systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices) * Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Mining multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) * Knowledge graphs support data representation and manipulation * Generation of knowledge graphs using unstructured data * Information retrieval in the era of LLMs * Open-ended QA systems * Fairness, Accountability, Transparency, Ethics, and Explainability in Information and Knowledge Management -------------------------- Paper Submissions -------------------------- Authors are invited to submit original, full-length research papers that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences. Manuscripts should be submitted to CIKM 2024 Easychair site in PDF format, using the 2-column ACM sigconf template, see https://www.acm.org/publications/proceedings-template . Full papers cannot exceed 9 pages, including an appendix, plus unlimited references. Rejected full papers will not be considered for publication as short papers. The review of manuscripts will be double-blind, and submissions not properly anonymized will be desk-rejected without review. Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. -------------------------- Dual Submission Policy -------------------------- Submitting papers that are identical (or substantially similar) to versions that have been published, accepted for publication, or submitted in parallel to other conferences (or any venue with published proceedings) is not allowed. However, it is allowed to make an abstract submission by May 13, 2024 (without uploading the paper PDF) for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline of May 20, 2024. You need to withdraw your submission in case the paper is accepted or still under review by May 20, 2024. Authors are allowed to submit papers that have been presented or are to be presented at conferences or workshops without proceedings, or with only abstracts published. Authors may also submit anonymized work already available as a preprint (e.g., in arXiv). In this case, the authors must modify the title and abstract while refraining from citing the manuscript to preserve anonymity. -------------------------- Authorship Policy -------------------------- Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions. -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the anonymity, length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment -------------------------- Chairs Contact Information -------------------------- For more information, contact the PC chairs at: CIKM2024-pc [at] easychair [dot] org Carlotta Domeniconi, George Mason University, USA Zhifeng Bao, RMIT University, Australia Sole Pera, TU Delft, Netherlands

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[CIKM 2024] - Final Call for Applied Research Papers
by antonela.tommasel＠isistan.unicen.edu.ar 06 May '24

06 May '24

** Abstract deadline May 13th ** ** One week to go ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-applied-research-papers =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The 33rd ACM International Conference on Information and Knowledge Management (CIKM) offers a forum for academia and industry to present cutting-edge research on artificial intelligence, search and discovery, text and data mining, and database systems. The Applied Research Track invites submissions from both academia and industry that focus on advancing the understanding of issues related to deploying IR, NLP and AI at scale. Unlike the Research Track, the Applied Research Track concentrates on applied work, such as describing the implementation of a system, data acquisition, or application of a methodology that addresses a significant real-world problem and demonstrates measurable benefits and impact. We invite authors to submit papers that showcase their research work’s real-world impact and demonstrate practicality and scalability. Submissions should clearly outline how the work has been deployed or released and for how long, or how the work is planned to be deployed or released and what is its potential impact in the real world -------------------------- Key Dates -------------------------- * Applied Research Papers abstract: 13 May 2024 * Applied Research Papers: 20 May 2024 * Applied Research Papers notifications: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We invite submissions along the same topics of interest lines as the CIKM 2024 Research Track, but with a focus on applied and deployed work, substantiated by a system launch, data release, or other practical application evidence. * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Data processing enabled by large language models and other foundation models (e.g. information retrieval or data management facilitated by the use of LLMs) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices) Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Network and graph mining (e.g., social network analysis, mining important nodes in networks, subgraphs and graph motifs mining, community detection) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) -------------------------- Paper Submissions -------------------------- We welcome original applied research submissions that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences. Authors should include their names and affiliations in the manuscript (i.e. submissions are single-blind). Submissions are limited to 7 pages plus unlimited references (note that additional appendices are not allowed) and must be formatted using ACM’s 2-column template “sig-conf”, see https://www.acm.org/publications/proceedings-template. Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. -------------------------- Dual Submission Policy -------------------------- Submitting papers that are identical (or substantially similar) to versions that have been published, accepted for publication, or submitted in parallel to other conferences (or any venue with published proceedings) is not allowed. However, it is allowed to make an abstract submission by May 13, 2024 (without uploading the paper PDF) for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline of May 20, 2024. You need to withdraw your submission in case the paper is accepted or still under review by May 20, 2024. Authors are allowed to submit papers that have been presented or are to be presented at conferences or workshops without proceedings, or with only abstracts published. Authors may also submit anonymized work already available as a preprint (e.g., in arXiv). In this case, the authors must modify the title and abstract while refraining from citing the manuscript to preserve anonymity. -------------------------- Authorship Policy -------------------------- Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions. -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the anonymity, length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment -------------------------- Chairs Contact Information -------------------------- For more information, contact the Applied Research Track PC chairs at: CIKM2024-applied [at] easychair [dot] org Wei Chen (Microsoft Research Asia) Yinglong Xia (Meta)

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First Call for Papers: GenBench, the second workshop on generalisation (benchmarking) in NLP @ EMNLP 2024
by Verna 05 May '24

05 May '24

*GenBench: The second workshop on generalisation (benchmarking) in NLP* *Workshop description*The ability to generalise well is often mentioned as one of the primary desiderata for models of natural language processing (NLP). Yet, there are still many open questions related to what it means for an NLP model to generalise well, and how generalisation should be evaluated. LLMs, trained on gigantic training corpora that are – at best – hard to analyse or not publicly available at all, bring a new set of challenges to the topic. The second GenBench workshop aims to serve as a cornerstone to catalyse research on generalisation in the NLP community. The workshop aims to bring together different expert communities to discuss challenging questions relating to generalisation in NLP, crowd-source challenging generalisation benchmarks for LLMs, and make progress on open questions related to generalisation. Topics of interest include, but are not limited to: - Opinion or position papers about generalisation and how it should be evaluated; - Analyses of how existing or new models generalise; - Empirical studies that propose new paradigms to evaluate generalisation; - Meta-analyses that compare how results from different generalisation studies compare; - Meta-analyses that study how different types of generalisation are related; - Papers that discuss how generalisation of LLMs can be evaluated; - Papers that discuss why generalisation is (not) important in the era of LLMs; - Studies on the relationship between generalisation and fairness or robustness. The second GenBench workshop on generalisation (benchmarking) in NLP will be co-located with EMNLP 2024. *Submission types* We call for two types of submissions: regular workshop submissions and collaborative benchmarking task submissions. The latter will consist of a data/task artefact and a companion paper motivating and evaluating the submission. In both cases, we accept archival papers and extended abstracts. *1. Regular workshop submissions* Regular workshop submissions present papers on the topic of generalisation (see examples listed above). Regular workshop papers may be submitted as an archival paper, when they report on completed, original and unpublished research, or as a shorter extended abstract, otherwise. More details on this category can be found below. If you are unsure whether a specific topic is well-suited for submission, feel free to reach out to the organisers of the workshop at genbench(a)googlegroups.com. *2. Collaborative Benchmarking Task (CBT) submissions* The goal of this year's CBT is to generate versions of existing evaluation datasets for LLMs which, given a particular training corpus, have a larger distribution shift than the original test set, or – in other words – evaluate generalisation to a stronger degree than the original dataset. For this particular challenge, we focus on three training corpora: C4, RedPajama-Data-1T, and Dolma. All three corpora are publicly available, and they can be searched via the What's in My Big Data API (https://github.com/allenai/wimbd). We will focus on three popular evaluation datasets: MMLU, HumanEval, and SiQA. Submitters to the CBT are asked to design a way to assess distribution shift for one or more of these evaluation datasets, given particular features of the training corpus, and then generate one or more versions of the dataset that have a larger distribution shift according to this method. Newly generated sets do not have to have the same size as the original test set, but should have at least 200 examples. Practically speaking, CBT submissions consist of: 1. the data/task artefact, submitted through https://github.com/GenBench/genbench_cbt 2. a paper describing the dataset and its method of construction, submitted through https://openreview.net/group?id=GenBench.org/2024/Workshop We accept submissions that consider only one pretraining dataset and evaluation dataset, but encourage submitters to apply their suggested protocols to both pretraining datasets. We also suggest that submitters include model results for models trained on these datasets. Suggestions are provided on the CBT website: https://genbench.org/cbt. Given enough high-quality submissions, we aim to write a paper with the combined results, to which submitters can be co-authors, if they wish so. More detailed guidelines will be given on https://genbench.org/cbt. *Archival vs extended abstract* Archival papers are up to 8 pages excluding references and report on completed, original and unpublished research. They follow the requirements of regular EMNLP 2024 submissions. Accepted papers will be published in the workshop proceedings and are expected to be presented at the workshop. The papers will undergo double-blind peer review and should thus be anonymised. Extended abstracts can be up to 2 pages excluding references, and may report on work in progress or be cross-submissions of work that has already appeared in another venue. Abstract titles will be posted on the workshop website, but will not be included in the proceedings. *Submission instructions*For both archival papers and extended abstracts, we refer to the EMNLP 2024 website for paper templates and requirements. Additional requirements for both regular workshop papers and collaborative benchmarking task submissions can be found on our website. All submissions can be submitted through OpenReview: https://openreview.net/group?id=GenBench.org/2024/Workshop. *Important dates* These deadlines are tentative, for the latest version see https://genbench.org/workshop - August 15, 2024: Paper submission deadline - September 20, 2024: Notification deadline - October 4, 2024: Camera-ready deadline - November 15 or 16, 2024: Workshop Note: all deadlines are 11:59 PM UTC-12:00 *Preprints* We do not have an anonymity deadline, preprints are allowed, both before the submission deadline as well as after. *Contact* Email address: genbench(a)googlegroups.com Website: https://genbench.org/workshop *On behalf of the organisers*Dieuwke Hupkes Verna Dankers Khuyagbaatar Batsuren Amirhossein Kazemnejad Christos Christodoulopoulos Mario Giulianelli Ryan Cotterell

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Call for Participation: Challenge on Medical Video Question Answering at TREC 2024
by Deepak Gupta 04 May '24

04 May '24

Dear colleagues and friends, This year, we are organizing the MedVidQA <https://medvidqa.github.io/>challenge with TREC 2024 <https://trec.nist.gov/pubs/call2024.html>. This challenge aims at developing models for (1) retrieving the relevant videos and locating the visual answer in those videos for the medical or health-related question and (2) generating step-by-step textual summaries of the visual instructional segment that can be considered the answer to the medical query. This track comprises two main tasks: Video Corpus Visual Answer Localization (VCVAL) and Query-Focused Instructional Step Captioning (QFISC). For more details, please visit the challenge website ( https://medvidqa.github.io/) and the TREC 2024 website ( https://trec.nist.gov/pubs/call2024.html). Participants are required to complete their registration by submitting the TREC 2024 Registration Form <https://ir.nist.gov/evalbase/accounts/login/?next=/evalbase/>. *Important Dates* - *Release of the training and validation datasets:* April 30, 2024 - *Release of the video corpus:* May 12, 2024 - *Release of the test sets:* June 7 (Task A), September 2, 2024 (Task B) - *Run submission deadline:* August 12 (Task A), September 16, 2024 (Task B) - *Release of the official results:* September 8 (Task A), October 11, 2024 (Task B), We look forward to your participation in MedVidQA at TREC 2024. Join our Google Group <https://groups.google.com/g/trec-medvidqa2024> for important updates! If you have any questions, ask us on our Google Group <https://groups.google.com/g/trec-medvidqa2024> or email <deepak.gupta(a)nih.gov> us. Thank you, MedVidQA 2024 Organizers

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Two 2-years Postdoc positions in NLP at Bocconi University (Italy)
by Debora Nozza 03 May '24

03 May '24

We are seeking highly motivated and talented individuals to join our research team as Postdoctoral Researchers in the field of Natural Language Processing. The position offers an exciting opportunity to investigate the computational and algorithmic aspects underlying modern Artificial Intelligence systems, with a specific focus on the personalized and subjective approaches to Natural Language Processing. Successful candidates will work closely with Prof. Debora Nozza, Prof. Dirk Hovy, and the MilaNLP lab. Your profile: - a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields. - Excellent programming skills in Python. - Fluency in spoken and written English. Knowledge of Italian is NOT a requirement. - Knowledge of current neural network models and implementation tools for neural networks (e.g., PyTorch). - Experience with publications in top-tier venues in the field of NLP/Computational Linguistics. Position Details: - Starting date: September 1, 2024, or any time thereafter - Duration: 2 years - Deadline: 30th May 2024 - Competitive Salary: Applicants from outside Italy may qualify for a researcher taxation scheme How to apply: Go to the Bocconi postdoc job market page (https://jobmarket.unibocconi.eu/?id=601). Candidates should attach a CV and a cover letter to their application. Online interviews will take place during June 2024. Please contact debora.nozza(at)unibocconi.it if you have any questions.

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Reminder: 2-3 years postdoc in coherence and multimodal models at the University of Gothenburg
by Sharid Loáiciga 03 May '24

03 May '24

We invite applications for a 2-3 years postdoc position at CLASP, University of Gothenburg, Sweden. The overarching goal of the project is to construct a multimodal NLP system that uses text and visual input alongside large language models to assure text coherence over long documents and long sentence contexts. Candidates should have experience with machine learning including deep learning and neural networks, preferably with a background in mainstream natural language processing tasks and methods (e.g., language modeling, parsing, coreference, machine translation, discourse parsing, etc). Interest in the cognitive processes/models behind human language processing and understanding is a key advantage for the position. The application deadline is June 3rd. If you have questions, don't hesitate to email me sharid.loaiciga(a)gu.se More details in the complete official call here: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89…

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Workshop: Large Language Models and Lexicography 2024 (co-located with EURALEX 2024)
by Simon Krek 03 May '24

03 May '24

-------------------------------- Call for Extended Abstracts: Large Language Models and Lexicography 2024 Hotel Croatia, Cavtat, Croatia | 8 October 2024 You are invited to submit extended abstracts for the workshop Large Language Models and Lexicography, which will be held in conjunction with the Euralex 2024 congress <https://euralex.jezik.hr/> . The workshop is organised jointly by the Centre for Language Resources and Technologies, University of Ljubljana, and Jožef Stefan Institute, Ljubljana, Slovenia. Key Information Workshop link: https://www.cjvt.si/en/research/community/llm-lex-2024/ Date: 8 October 2024 Venue: Hotel Croatia, Cavtat, Croatia Deadline: 3 June 2024 Submission link: <https://easychair.org/conferences/?conf=llmlex2024> https://easychair.org/conferences/?conf=llmlex2024 Notification of acceptance: beginning of July 2024 Best regards, Simon Krek

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