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2nd CFP, 3rd TRR 318 Conference: Contextualizing Explanations (ContEx25), Bielefeld, 17-18 June
by cimiano＠cit-ec.uni-bielefeld.de 10 Mar '25

10 Mar '25

2nd Call for Papers: 3rd TRR 318 Conference: Contextualizing Explanations (ContEx25) http://contex2025.net/ As AI systems are used more and more in high-stakes domains, it also becomes ever-more important to make AI systems transparent to ensure meaningful human control and empower human users to contest or override AI-based decisions. Without sufficient transparency, increasingly complex and autonomous AI systems may leave users feeling overwhelmed and out of control, which is legally and ethically unacceptable, especially in the context of high-stakes decisions. For the users to feel empowered rather than out of control, explanations need to be relevant, providing sufficient information on which basis an output can be contested or challenged. It has been increasingly noted by the XAI community that no one explanation can fit all needs. Further, recent approaches have advocated for a more participative approach to XAI in which users are not only involved but can directly shape and guide the explanations given by a certain AI System. The 3rd TRR 318 Conference: Contextualizing Explanations is an international and interdisciplinary conference focusing on the question how explanations can be contextualized to increase their relevance and empower users. Key research questions that we want to explore during the conference include: How do contextual variables influence the effectiveness of explanations? What are the relevant context factors to be taken into account in adapting an explanation to specific domains, users, or situations? How can context be represented algorithmically to support contextual adaptation of XAI explanations? What new architectures or approaches in XAI support the dynamic adaptation of explanations with respect to changing user needs? How can user modelling support a more personalized explanation process? In which ways can the dynamics of context be modelled? How can the suitability of contextually adapted explanations be studied / validated / evaluated? Which explanation processes are particularly suitable for which context? Which context-specific outcomes are influenced by explanations? How can XAI empower users across diverse contexts to make informed decisions and effectively interact with AI systems? What constitutes a useful taxonomy for categorizing contexts in which explanations are provided? What are the various contexts in which explanations are provided and utilized? The 3rd TRR318 Conference: Contextualizing Explanations invites contributions from a wide range of disciplines (computational but also human/social science) seeking to contribute to advancing research on how explanations can be contextually adapted. We invite interested participants to submit a two page abstract (+ references) using the LNCS Springer template via Easychair: https://easychair.org/conferences/directory?a=33811429 The abstracts will be peer-reviewed and appear as Proceedings published by Bielefeld University Press. The conference is hosted and supported by the TRR 318 “Constructing Explainability”: http://trr318.de <http://trr318.de/> Organizing Committee: Philipp Cimiano (Bielefeld University) Benjamin Paaßen (Bielefeld University) Anna-Lisa Vollmer (BIelefeld University) Invited Speakers: Angelo Cangelosi (University of Manchester) Virginia Dignum (Umeå University) Kacper Sokol (ETH Zurich) Important Dates: Deadline for Submissions: March 31st Notification of Acceptance: April 30th Conference: 17th and 18th of June, Bielefeld Prof. Dr. Philipp Cimiano AG Semantic Computing Coordinator of the Cognitive Interaction Technology Center (CITEC) Co-Director of the Joint Artificial Intelligence Institute (JAII) Universität Bielefeld Tel: +49 521 106 12249 Fax: +49 521 106 6560 Mail: cimiano(a)cit-ec.uni-bielefeld.de Personal Zoom Room: https://uni-bielefeld.zoom-x.de/my/pcimiano Office CITEC-2.307 Universitätsstr. 21-25 33615 Bielefeld, NRW Germany

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Linked Data for Corpora of Images of Text
by Hugh Paterson III 10 Mar '25

10 Mar '25

Greetings, I am wondering if anyone here has encountered a linked data vocabulary for shadows in an image? For example, we have digital scans of 3D text objects. When scanned in orientation "A" the shadows fall in a certain direction, when scanned in orientation "B" they fall in another direction. We are using this difference to enhance text detection algorithms. We need to notate in the metadata of the images which orientation they have relative to their shadows. Has anyone worked with a linked data vocabulary like this? The basic concept of how a shadow falls within an image is fundamental to photography and art in general. I haven't found a vocabulary in use within those domains either. We would be happy to reuse vocabulary terms from such domains. Kind Regards, Hugh Paterson III Krateros Project Manager Institute for Advanced Study https://www.ias.edu/krateros hpaterson(a)ias.edu

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Final call: NLP + social science postdoc at IT University of Copenhagen
by Anna Rogers 10 Mar '25

10 Mar '25

The Data Science section at the IT University of Copenhagen has an open position for a postdoc, funded for 2 years, on the topic of *scaling up qualitative interviews with Large Language Models* (LLMs). The project is a collaboration with the Center for Social Data Science <https://sodas.ku.dk/> at the university of Copenhagen. This is a NLP position, but some relevant background in social sciences or psychology is a plus. *Application deadline is March 17 2025*. Applications can be submitted via ITU job portal: Application link: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… IT University of Copenhagen is the leading Danish university dedicated to various aspects of IT technology, and Copenhagen is one of the happiest and most livable cities in the world. The candidates will be part of NLPNorth research group <https://nlpnorth.github.io/> (with 5 full-time faculty working in various areas of NLP), as well as Pioneer Center for AI <https://www.aicentre.dk/>. The postdoc will be hosted by Assoc. Prof. Anna Rogers <https://annargrs.github.io/>, to whom inquiries about the project can be directed (arog(a)itu.dk). The domain expert on this project is Hjalmar Alexander Bang Carlsen (sociology, hc(a)sodas.ku.dk). -- Anna Rogers Associate Professor IT University of Copenhagen http://annargrs.github.io/

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Call for Participation: Shared task on Clickbait Detection and Spoiling in Spanish - TA1C
by Luis Chiruzzo - Inco 10 Mar '25

10 Mar '25

*** Call for Participation for TA1C at IberLEF 2025 *** TA1C (Te Ahorré Un Click) Clickbait Detection and Spoiling in Spanish at IberLEF 2025 https://codalab.lisn.upsaclay.fr/competitions/21819 Clickbait is a widespread phenomenon in online news: it is a way of creating headlines and teasers aimed at capturing readers’ attention in order to increase traffic, relegating the function of informing to a secondary role. There is no clear consensus at the moment about how to define clickbait exactly, with some contradictory definitions that usually are based on the deceptive effect created by the news failing to deliver what they promise, or content based related phenomena such as sensationalism or yellow journalism. For this task we will take the following definition, based on Loewenstein's information gap theory: “Clickbait is a method for generating teasers, especially online, that deliberately omits part of the information with the goal of generating curiosity by creating an information gap, thereby attracting the readers' attention and making them click”. Although clickbait started in low-reputation web-exclusive media that focused on political propaganda or soft-news, such as The Huffington Post, Buzzfeed and Upworthy, it has gained prominence across all types of news and media. However, it is usually perceived as annoying and it can lead to misinformation. Spoiling the clickbait involves satisfying the curiosity by answering the information gap created. This way, the reader could have all of the information and can decide to read the complete article based on interest and not curiosity, just as if the headline was written in a traditional way. In this shared task we will provide a dataset of media tweets written in different varieties of Spanish and from different sources, with their corresponding associated media articles. Participants will be asked to solve the following tasks: * Clickbait Detection: Determine if the content of a tweet that links to a media article is clickbait, given the previous definition of clickbait. This is a binary classification task. * Clickbait Spoiling: Given a clickbait teaser (tweet and title) and the corresponding news article, generate or extract from the article a short text that, as concisely as possible (280 characters max), fills the information gap, satisfying the generated curiosity, or otherwise indicate that the articles has no response for it. The generated text must be in Spanish. How to participate: If you want to participate in this task, please join our Codalab competition <https://codalab.lisn.upsaclay.fr/competitions/21819>: Important Dates: * April 1st, 2025: training and development sets. * May 27th, 2025: test set and open for submissions. * June 3rd, 2025: publication of results. * June 12th, 2025: paper submission. * June 20th, 2025: notification of acceptance. * June 27th, 2025: camera-ready paper submission. * September, 2025: IberLEF 2025 Workshop.

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Full Professorship (tenured W3) in AI and ML, Bonn, Germany
by Prof. Dr. Lucie Flek 10 Mar '25

10 Mar '25

The *University of Bonn*, one of the few selected Universities of Excellence in Germany, is now inviting applications for a tenured and excellently equipped* Full Professorship (W3) in Artificial Intelligence and Machine Learning* as a strategic flagship part of our *Lamarr Institute for Machine Learning and Artificial Intelligence.* Applicants are expected to have demonstrated internationally outstanding research in one or more relevant subfields of Artificial Intelligence with a strong focus on Machine Learning, ideally related to one or more of the major research areas of the Lamarr Institute: - Resource-Aware ML: Optimize algorithms for available resources and new architectures - Trustworthy AI: Make AI ethical, reliable, understandable, and certifiable - Hybrid ML: Combine data and knowledge in ML algorithms - Human-Centered Systems: Exploit human interaction contexts when learning from data - Embodied AI: Build ML algorithms that work in physical and autonomous systems Apply by March 15th, 2025: https://www.uni-bonn.de/en/university/working-at-the-university/job-opportu… The professorship will be appointed as Tenured Full Professor (W3) within the Institute of Computer Science. Dual-career appointments are possible for suitable candidates. German language skills are not required. We expect from the candidate the capability of positioning the Lamarr Institute towards society and industry and willingness to *contribute to the institute’s strategic responsibilities.* The acquisition of third-party research funds and contribution to joint grant activities in computer science are requested. We welcome applications regardless of nationality, ethnic and social origin, religion/belief, age, sexual orientation and identity. Formal requirements are defined by § 36 of the Higher Education Act of North Rhine-Westphalia (Hochschulgesetz Nordrhein-Westfalen).

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Postdoc position at Saarland University
by Alexander Koller 10 Mar '25

10 Mar '25

Application deadline: 24 March 2025 https://www.coli.uni-saarland.de/groups/AK/jobs/ Hi all, I am looking to fill a postdoc position in computational linguistics at the Department of Language Science and Technology at Saarland University. This position offers great flexibility in developing your own research and teaching agenda, and collaborations with other research groups are encouraged. It is also flexible with respect to topic, as long as it connects thematically with topics of interest to the research group. These currently include accurate reasoning and planning with LLMs (including tool use); dialogue systems (in particular user adaptation and joint problem solving); and neurosymbolic models for NLP. You should have expertise in neural and/or linguistically principled methods in computational linguistics and be willing to take an active role in shaping the research and teaching environment of the department. The position includes a teaching load of up to four hours per week in the BSc Computational Linguistics (in German) and/or the MSc Language Science and Technology (in English). Both programs attract excellent and highly motivated students; it is not unusual for our students to publish papers at peer-reviewed conferences before graduation. The MSc students in particular are a very international crowd, with two thirds joining us from abroad. You will typically teach two seminars per semester on topics of your choice, which will allow you to motivate students to do BSc and MSc theses under your supervision. This is a position on the German TV-L E13 scale (100%). The starting salary of a 100% TV-L E13 position is approximately 57,000 Euros per year and increases with experience. The initial appointment will be for two years; the position can be extended up to the limits of the German law for academic contracts (WissZeitVG). The position is available right now; we could negotiate a start date that works for you. Requirements I am looking for candidates who have finished, or are about to complete, an excellent PhD degree in computational linguistics, computer science, or a related discipline. You should have demonstrated your research expertise through high-quality publications. You must be proficient in English (spoken and written); the ability to teach in German is a plus. About the group Saarland University is one of the leading centers for computational linguistics in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, and language science. It hosts the SFB 1102 “Information Density and Linguistic Encoding”. Alexander Koller is the speaker of the new Research Training Group “Neuroexplicit Models of Language, Vision, and Action”, which is on track to grow into one of the largest centers for research on neurosymbolic models in the world. His group actively collaborates with colleagues at the university’s computer science department, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the CISPA Helmholtz Center for Information Security. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries; SIC faculty have won roughly 40 ERC grants. Saarland University is located in Saarbrücken, a city of roughly 180k people in the tri-border area of Germany, France, and Luxembourg. Saarbrücken combines a lively culture scene with a relaxed atmosphere, and is quite an affordable place to live in. Our department maintains an international and diverse work environment. The primary working language is English; learning German while you are here will make it easier to connect with the local culture, but is not necessary for your work. How to apply Please see https://www.coli.uni-saarland.de/groups/AK/jobs/ for further details and how to apply.

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[CfP] SEMANTiCS 2025 - 2nd Call for Workshops and Tutorials
by Beyza Yaman 09 Mar '25

09 Mar '25

SEMANTiCS 2025 - Second Call for Workshops and Tutorials 21st International Conference on Semantic Systems Vienna, Austria September 03-05, 2025 Important Dates for Workshops: - *Proposals WS Deadline: March 22, 2025 (11:59 pm, AoE)* - *Notification of Acceptance: 29, 2025 (11:59 pm, AoE)* Important Dates for Tutorials (and other meetings, e.g. seminars, show-cases, etc., without call for papers): - *Proposals Tutorial Deadline: June 11, 2025 (11:59 pm, AoE)* - *Notification of Acceptance: June 18, 2025 (11:59 pm, AoE)* *Submission via Easychair on https://easychair.org/conferences/?conf=semantics2025 <https://easychair.org/conferences/?conf=semantics2025>* *SEMANTiCS Workshops and Tutorials* SEMANTiCS 2025 is a major venue for research and industrial innovation and features a workshop and tutorial program addressing the diverse practical interests of its audience. This program is intended to offer a rich diversity of topics to conference attendees and local participants seeking to pick up new skills and stay up-to-date regarding the latest developments in the community. We encourage submissions of proposals on all topics in the general areas of SEMANTiCS 2025 and proposals bridging or introducing new perspectives and/or challenges in these areas. Workshops and tutorials may incorporate panel discussions, lightning talks, meetings, networking or hands-on sessions, hackathons and other practical formats where applicable. Rooms for business or project meetings are available upon request as well. *Scope and Goals* Workshops and tutorials at SEMANTiCS 2025 allow your organization or project to advance and promote your topics and gain increased visibility. The workshops and tutorials will be announced on the SEMANTiCS website, and they will be seen by all participants. SEMANTiCS 2025 workshops and tutorials can be incubators for industrial and scientific communities that form and share a particular research and development agenda, and they will provide a forum for presenting contributions and findings to a diverse and knowledgeable community. Furthermore, the event can be used as a dissemination activity in the scope of large research projects or as a closed format for research/commercial project consortia meetings. *Proceedings* Workshop papers will be published in the SEMANTiCS side event proceedings through CEUR. Side events proceedings will include posters & demos and contributions from workshops. *Setup and Requirements* SEMANTiCS 2025 workshops and tutorials may be either half or full-day long. Workshops and tutorials take place on the days before and/or after the main SEMANTiCS 2025 EU conference (03th of September 2025). Further details will be communicated in due time. Organizers of workshops and tutorials will be granted three free tickets (only for the workshop & tutorial day) for organization purposes or keynotes. Participants of workshops and tutorials will only be charged a reduced fee to cover the basic costs. Workshop and tutorial proposals must include the following information: - outline of the *themes and goals of the event*, including a title and a brief abstract (less than 200 words) intended for the SEMANTiCS 2025 website. - a statement addressing *why the event is important*, *why the event is timely*, and how it is relevant to SEMANTiCS 2025 and the field of Semantic Web. For the tutorials, why the presenters are qualified for a high-quality introduction to the topic. - *related workshops and conferences*, i.e., specifying if this is a continuation of a workshop series or a new workshop. Please provide information about past versions (in any) and other related workshops (including URLs and submission/acceptance counts, if available). - a statement addressing the *quality assurance criteria* that will be used by the event organizers to select the papers for the workshops and the presenters for the tutorials (e.g., peer review or review/evaluation by event organizers). If a peer review process is chosen as a quality assurance criterion for the workshops, the organizers will be responsible for their own reviewing process. Workshop organizers will be responsible also for their own publicity (e.g., website, timelines and call for papers) and proceedings production. - *structure of the event* and plans for generating and stimulating discussion; how will the interaction be organized in case of a hybrid event. - expected *number of event participants* and (in case of previously held events) number of registered attendees and website for previous editions of the event - a description of the intended *audience* and the expected learning *outcomes.* - desired *prerequisite* knowledge of the audience. - proposed *duration of the event* (i.e., half or full day), different sessions if applicable (final time slot will be assigned in accordance with the SEMANTiCS program). - any *equipment*, room capacity, or other logistic constraints. - full *contact information* of all organizers of the event and main contact person; a brief description of each *organizer's background*, including relevant past experience in organizing events. Proposals for workshop and tutorial proposals must be submitted via Easychair: *https://easychair.org/conferences/?conf=semantics2025* <https://easychair.org/conferences/?conf=semantics2025> (max 4 pages) *Important Dates* Important Dates for Workshops: - *Proposals WS Deadline: March 22, 2025 (11:59 pm, AoE)* - *Notification of Acceptance: March 29, 2025 (11:59 pm, AoE)* - *Workshop website is online: April 15th, 2025* *Suggested* dates for Workshop organizers (with Call for Papers) - *Submission WS papers Deadline: June 14, 2025 (11:59 pm, AoE)* - *Notification of Acceptance: July 05, 2025 (11:59 pm, AoE)* Important Dates for Tutorials (and other meetings, e.g. seminars, show-cases, etc., without call for papers): - *Proposals Tutorial Deadline: June 11, 2025 (11:59 pm, AoE)* - *Notification of Acceptance: June 18, 2025 (11:59 pm, AoE)* *Review and Evaluation Criteria* Workshop and tutorial proposals will be reviewed by the SEMANTiCS 2025 Workshop Chairs, as well as by the SEMANTiCS 2025 organizing committee, according to the following criteria: - The potential to advance the state of Semantic Web research and practice - The quality assurance criteria proposed by the organizers to select high-quality papers for workshops and presenters for tutorials - The organizers' experience and ability to lead a successful event - Timeliness and expected interest in the event topics - The balance and synergy between all SEMANTiCS 2025 events *Topics of interest include (but are not limited to):* - Web Semantics & Linked (Open) Data - Enterprise Knowledge Graphs, Graph Data Management - Machine Learning Techniques for/using Knowledge Graphs (e.g. reinforcement learning, deep learning, data mining and knowledge discovery) - Interplay between Large Language Models, generative AI and Knowledge Graphs (e.g., Retrieval Augmented Generation) - Knowledge Management (e.g. acquisition, capture, extraction, authoring, integration, publication) - Terminology, Thesaurus & Ontology Management, Ontology engineering - Reasoning, Rules, and Policies - Natural Language Processing for/using Knowledge Graphs (e.g. entity linking and resolution using target knowledge such as Wikidata and DBpedia, foundation models) - Crowdsourcing for/using Knowledge Graphs - Data Quality Management and Assurance - Mathematical Foundation of Knowledge-aware AI - Multimodal Knowledge Graphs - Semantics in Data Science - Semantics in Blockchain environments - Trust, Data Privacy, and Security with Semantic Technologies - IoT, Stream Processing, dealing with temporal data - Conversational AI and Dialogue Systems - Provenance and Data Change Tracking - Semantic Interoperability (via mapping, crosswalks, standards, etc.) - Linked Data storage, triple stores, graph databases - Robust and scalable management, querying and analysis of semantics and data - User interfaces for the Semantic Web & its management - Explainable and Interoperable AI - Decentralised and Federated Knowledge Graphs (e.g., Federated querying, link traversal) - Application of Semantically-Enriched and AI-based Approaches, such as, but not limited to: - Knowledge Graphs in Bioinformatics, Medical AI and Preventive Healthcare - Clinical Use Case of semantic-enabled AI-based Approaches - AI for Environmental Challenges - Semantics in Scholarly Communication and Scientific Knowledge Graphs - AI and LOD within GLAM (galleries, libraries, archives, and museums) institutions - Knowledge Graphs & hybrid AI for predictive maintenance and Industry 4.0/5.0 - Digital Humanities and Cultural Heritage - LegalTech, AI Safety, EU AI Act - Economics of Data, Data Services, and Data Ecosystems We especially invite contributions that illustrate the applicability of the topics mentioned above for industrial purposes and/or illustrate the business relevance of their contribution for specific industries. Workshop proposals on *emerging themes* and *open challenges* for the topics listed above are encouraged. In case you have additional questions concerning the submission process, please do not hesitate to contact us via Easychair. We are looking forward to your contribution! *Workshop & Tutorial Chairs:* - Daniel Garijo, Universidad Politécnica de Madrid, Spain (email: daniel.garijo(a)upm.es) - David Chaves-Fraga, Universidade de Santiago de Compostela Spain (email: david.chaves(a)usc.es) Kind Regards, Beyza Yaman On behalf of the organising committee.

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[CFP] ACL 2025 - Call for System Demonstrations
by ACL Announcements 09 Mar '25

09 Mar '25

ACL 2025 - Call for System Demonstrations The ACL 2025 System Demonstration Program Committee invites proposals for the Demonstrations Program. Demonstrations may range from early research prototypes to mature production-ready systems. Publicly available open-source or open-access systems are of special interest. We additionally strongly encourage demonstrations of industrial systems that are technologically innovative given the current state of the art of theory and applied research in natural language processing. Areas of interest include all topics related to theoretical and applied natural language processing, such as (but not limited to) the topics listed on the main conference website. Submitted systems may be of the following types: * Natural language processing systems or system components * Application systems using language technology components * Software tools for natural language processing research * Software for demonstration or evaluation * Software supporting learning or education * Tools for data visualization and annotation * Tools for model inspection * Development tools Papers describing accepted demonstrations will be published in a companion volume of the ACL 2025 conference proceedings. We expect at least one of the authors to present a live demo during a demo session at ACL 2025 in Vienna, with an accompanying poster. Please note: Commercial sales and marketing activities are not appropriate in the Demonstrations Program and should be arranged as part of the Exhibit Program Check the full Call at: https://2025.aclweb.org/calls/system_demonstration/ [1] Link to submission system: https://openreview.net/group?id=aclweb.org/ACL/2025/Demo [2] Links: ------ [1] https://2025.aclweb.org/calls/system_demonstration/ [2] https://openreview.net/group?id=aclweb.org/ACL/2025/Demo

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2nd Call-for-Participation: ImageCLEF 2025 Multimedia Retrieval in CLEF Lab
by stanciu.cristi12＠gmail.com 07 Mar '25

07 Mar '25

[Apologies for multiple postings] ImageCLEF 2025 Multimedia Retrieval in CLEF http://www.imageclef.org/2025/ *** CALL FOR PARTICIPATION *** ImageCLEF 2025 is an evaluation campaign that is being organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs. The campaign offers several research tasks that welcome participation from teams around the world. The results of the campaign appear in the working notes proceedings, published by CEUR Workshop Proceedings (CEUR-WS.org) and are presented in the CLEF conference. Selected contributions among the participants, will be invited for publication in the following year in the Springer Lecture Notes in Computer Science (LNCS) together with the annual lab overviews. Target communities involve (but are not limited to): information retrieval (text, vision, audio, multimedia, social media, sensor data, etc.), machine learning, deep learning, data mining, natural language processing, image and video processing, computer vision, with special attention to the challenges of multi-modality, multi-linguality, and interactive search. *** 2025 TASKS *** ImageCLEFmedical Automatic Image Captioning ImageCLEFmedical Synthetic Medical Images Created via GANs ImageCLEFmedical Visual Question Answering ImageCLEFmedical Multimodal And Generative TelemedICine (MAGIC) Image Retrieval/Generation for Arguments ImageCLEFtoPicto ImageCLEF Multimodal Reasoning #ImageCLEFmedical Automatic Image Captioning (9th edition) https://www.imageclef.org/2025/medical/caption Interpreting and summarizing the insights gained from medical images such as radiology output is a time-consuming task that involves highly trained experts and often represents a bottleneck in clinical diagnosis pipelines.The Automatic Image Captioning task is split into 2 subtasks: Concept Detection Task, based on identifying the presence and location of relevant concepts in a large corpus of medical images and the Caption Prediction Task, where participating systems are tasked with composing coherent captions for the entirety of an image Organizers: Hendrik Damm, Johannes Rückert, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Benjamin Bracke (University of Applied Sciences and Arts Dortmund, Germany), Asma Ben Abacha (Microsoft, USA), Alba García Seco de Herrera (University of Essex, UK), Henning Müller (University of Applied Sciences Western Switzerland, Sierre, Switzerland), Henning Schäfer, Tabea M. G. Pakull (Institute for Transfusion Medicine, University Hospital Essen, Germany), Cynthia S. Schmidt, Obioma Pelka (Institute for Artificial Intelligence in Medicine, Germany) #ImageCLEFmedical Synthetic Medical Images Created via GANs (3rd edition) https://www.imageclef.org/2025/medical/gan The task aims to further investigate the hypothesis that generative models generate synthetic medical images that retain "fingerprints" from the real images used during their training. These fingerprints raise important security and privacy concerns, particularly in the context of personal medical image data being used to create artificial images for various real-life applications. In the first subtask, participants will analyze synthetic biomedical images to determine whether specific real images were used in the training process of generative models. In the second subtask, participants will link each synthetic biomedical image to the specific subset of real data used during its generation. The goal is to identify the particular dataset of real images that contributed to the training of the generative model responsible for creating each synthetic image. Organizers: Alexandra Andrei, Liviu-Daniel Ștefan, Mihai Gabriel Constantin, Mihai Dogariu, Bogdan Ionescu (National University of Science and Technology POLITEHNICA Bucharest, Romania), Ahmedkhan Radzhabov, Yuri Prokopchuk (National Academy of Science of Belarus, Minsk, Belarus), Vassili Kovalev (Belarusian Academy of Sciences, Minsk, Belarus), Henning Müller (University of Applied Sciences Western Switzerland, Sierre, Switzerland) #ImageCLEFmedical Visual Question Answering (3rd edition) https://www.imageclef.org/2025/medical/vqa This year, the challenge looks at the integration of Visual Question Answering (VQA) with synthetic gastrointestinal (GI) data, aiming to enhance diagnostic accuracy and learning algorithms. The challenge includes developing algorithms that can interpret and answer questions based on synthetic GI images, creating advanced synthetic images that mimic accurate diagnostic visuals in detail and variability, and evaluating the effectiveness of VQA techniques with both synthetic and real GI data. The 1st subtask asks participants to build algorithms that can accurately interpret and respond to questions pertaining to gastrointestinal (GI) images. This involves understanding the context and details within the images and providing precise answers that would assist in medical diagnostics, while the 2nd subtask focuses on the generation of synthetic GI images that are highly detailed and variable enough to closely resemble real medical images. Organizers: Steven A. Hicks, Sushant Gautam, Michael A. Riegler, Vajira Thambawita, Pål Halvorsen (SimulaMet, Norway) #ImageCLEFmedical Multimodal And Generative TelemedICine (MEDIQA-MAGIC) (3rd edition) https://www.imageclef.org/2025/medical/mediqa The task extends on the previous year’s dataset and challenge based on multimodal dermatology response generation. Participants will be given a clinical narrative context along with accompanying images. The task is divided into two relevant sub-parts: (i) segmentation of dermatological problem regions, and (ii) providing answers to closed-ended questions (participants will be given a dermatological query, its accompanying images, as well as a closed-question with accompanying choices – the task is to select the correct answer to each question) Organizers: Asma Ben Abacha, Wen-wai Yim, Noel Codella (Microsoft), Roberto Andres Novoa (Stanford University), Josep Malvehy (Hospital Clinic of Barcelona) #Image Retrieval/Generation for Arguments (4th edition) https://www.imageclef.org/2025/argument-images Given a set of arguments, the task is to return for each argument several images that help convey the argument. A suitable image could depict the argument or show a generalization or specialization. Participants can optionally add a short caption that explains the meaning of the image. Images can be either retrieved from the focused crawl or generated using an image generator. Organizers: Maximilian Heinrich, Johannes Kiesel, Benno Stein (Bauhaus-Universität Weimar), Moritz Wolter (Leipzig University), Martin Potthast (University of Kassel, hessian.AI, scads.AI) #ImageCLEFtoPicto (3rd edition) https://www.imageclef.org/2025/topicto The goal of ToPicto is to bring together linguists, computer scientists, and translators to develop new translation methods to translate either speech or text into a corresponding sequence of pictograms. The task refers to the relationship between text and related pictograms and is composed of 2 subtasks: the Text-to-Picto task, which focuses on the automatic generation of a corresponding sequence of pictogram terms and the Speech-to-Picto task, which focuses on directly translating speech to pictogram terms. Organizers: Diandra Fabre, Cécile Macaire, Benjamin Lecouteux, Didier Schwab (Université Grenoble Alpes, LIG, France) #ImageCLEF Multimodal Reasoning (new) https://www.imageclef.org/2025/multimodalreasoning MultimodalReason is a new task focusing on Multilingual Visual Question Answering (VQA). The formulation of the task is the following: Given an image of a question with 3-5 possible answers, participants must identify the single correct answer.The task is split into many subtasks, each handling a different language (English, Bulgarian, Arabic, Serbian, Italian, Hungarian, Croatian, Urdu, Kazakh, Spanish, with a few more on the way). The task's goal is to assess modern LLMs' reasoning capabilities on complex inputs, presented in different languages, across various subjects. Organizers: Dimitar Dimitrov, Ivan Koychev (Sofia University "St. Kliment Ohridski", Bulgaria), Rocktim Jyoti Das, Zhuohan Xie, Preslav Nakov (Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE) *** IMPORTANT DATES *** (may vary depending on the task) - Run submission: May 10, 2025 - Working notes submission: May 30, 2025 - CLEF 2025 conference: September 9-12, 2025, Madrid, Spain *** REGISTRATION *** Follow the instructions here https://www.imageclef.org/2025 *** OVERALL COORDINATION *** Bogdan Ionescu, Politehnica University of Bucharest, Romania Henning Müller, HES-SO, Sierre, Switzerland Cristian Stanciu, Politehnica University of Bucharest, Romania On behalf of the organizers, Cristian Stanciu https://www.aimultimedialab.ro/

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2nd Call For Papers: 4th ACM International Workshop on Multimedia AI against Disinformation
by stanciu.cristi12＠gmail.com 07 Mar '25

07 Mar '25

4th ACM International Workshop on Multimedia AI against Disinformation (MAD’25) ACM International Conference on Multimedia Retrieval ICMR'25 Chicago, USA, June 30 - July 3, 2025 https://www.mad2025.aimultimedialab.ro/ https://easychair.org/my/conference?conf=mad2025 *** Call for papers *** ************************ * Paper submission due: April 10, 2025 * Acceptance notification: April 29, 2025 * Camera-ready papers due: May 5, 2025 * Workshop @ACM ICMR 2025: June 30, 2025 Modern communication does not rely anymore solely on mainstream media like newspapers or television, but rather takes place over social networks, in real-time, and with live interactions among users. The speedup of distribution and the amount of information available, however, also led to an increased amount of misleading content, disinformation and propaganda. Conversely, the fight against disinformation, in which news agencies and NGOs (among others) take part on a daily basis to avoid the risk of citizens' opinions being distorted, became even more crucial and demanding, especially for what concerns sensitive topics such as politics, health and religion. Disinformation campaigns are leveraging, among others, AI-based tools for content generation and modification: hyper-realistic visual, speech, textual and video content have emerged under the collective name of "deepfakes", and more recently with the use of Large Language Models (LLMs) and Large Multimodal Models (LMMs), undermining the perceived credibility of media content. It is, therefore, even more crucial to counter these advances by devising new robust and trustworthy AI tools able to detect the presence of inaccurate, synthetic and manipulated content, accessible to journalists and fact-checkers. Future multimedia disinformation detection research relies on the combination of different modalities and on the adoption of the latest advances of deep learning approaches and architectures. These raise new challenges and questions that need to be addressed to reduce the effects of disinformation campaigns. The workshop, in its fourth edition, welcomes contributions related to different aspects of AI-powered disinformation detection, analysis and mitigation. Topics of interest include but are not limited to: - Disinformation detection in multimedia content (e.g., video, audio, texts, images) - Multimodal verification methods - Synthetic and manipulated media detection - Multimedia forensics - Disinformation spread and effects in social media - Analysis of disinformation campaigns in societally-sensitive domains - Robustness of media verification against adversarial attacks and real-world complexities - Fairness and non-discrimination of disinformation detection in multimedia content - Explaining disinformation detection results to non-expert users - Temporal and cultural aspects of disinformation - Dataset sharing and governance in AI for disinformation - Datasets for disinformation detection and multimedia verification - Open resources, e.g., datasets, software tools - Large Language Models for analyzing and mitigating disinformation campaigns - Large Multimodal Models for media verification - Multimedia verification systems and applications - System fusion, ensembling and late fusion techniques - Benchmarking and evaluation frameworks *** Submission guidelines *** When preparing your submission, please adhere strictly to the ACM ICMR 2025 instructions, to ensure the appropriateness of the reviewing process and inclusion in the ACM Digital Library proceedings. The instructions are available here: https://mad2025.aimultimedialab.ro/submissions/. *** Organizing committee *** Dan-Cristian Stanciu (National University of Science and Technology Politehnica Bucharest, Romania) Roberto Caldelli (CNIT and Mercatorum University, Italy) Milica Gerhardt (Fraunhofer IDMT, Germany) Bogdan Ionescu (National University of Science and Technology Politehnica Bucharest, Romania) Giorgos Kordopatis-Zilos (Czech Technical University in Prague, Czechia) Symeon Papadopoulos (CERTH-ΙΤΙ, Greece) Adrian Popescu (CEA LIST, France) Vera Schmitt (Technical University Berlin, Germany) The workshop is supported under the following projects: (i) UEFISCDI DeteRel SOL12/2024 Detection of relationships between entities in unstructured and structured data sets (https://deterel.aimultimedialab.ro/), (ii) AI4Debunk (https://ai4debunk.eu/), (iii) vera.ai “VERification Assisted by Artificial Intelligence” (https://www.veraai.eu/), and (iv) News-Polygraph (https://news-polygraph.com/). On behalf of the organizers, Cristian Stanciu https://www.aimultimedialab.ro/

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