š¢ PhD Positions in AI Security ā Aalborg University (Copenhagen)
We are excited to announce four fully funded PhD positions at the AI:DEFENCE Lab at Aalborg University. Our lab explores new synergies between Natural Language Processing (NLP) and Cybersecurity, with the goal of developing safe, robust, and trustworthy AI systems. Research topics include:
* Security and safety in LLMs
* Adversarial robustness and alignment
* Federated learning and privacy-preserving AI
* Autonomous cyber defense using multi-agent systems and reinforcement learning
We welcome applicants with strong backgrounds in NLP, machine learning, or cybersecurity. The lab is based in Copenhagen, and the positions start August 2025.
š Deadline: 28 April 2025
š More info and application: https://www.stillinger.aau.dk/vis-stilling/vacancyId/1219578
Feel free to share widely or reach out with any questions!
Johannes Bjerva
Professor | Natural Language Processing | Department of Computer Science
Head of Section for AAU CS-CPH
Aalborg University Copenhagen
Office 2.2.089, A.C. Meyers VƦnge 15, 2450 Copenhagen, Denmark
SECOND CALL FOR PAPERS
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LARP
Language models And RePresentations
September 8 - September 9, 2025, Gothenburg, Sweden
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https://gu-clasp.github.io/LARP/index.html
Invited speakers
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Dan Roth, University of Pennsylvania and Oracle
Vaishak Belle, University of Edinburgh
Moa Johansson, Chalmers University of Technology
Important dates
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- Submission deadline (archival): April 28, 2025
- Notification of acceptance (archival): June 20, 2025
- NEW!!! Commitment deadline for pre-reviewed ACL ARR submissions: July 31, 2025
- Submission deadline (non-archival): August 1, 2025
- Notification of acceptance (non-archival): August 8, 2025
- Camera ready (archival): August 8, 2025
- Camera ready (ARR Commitments): August 15, 2025
- Registration deadline: TBA
- Conference: September 8ā9, 2025, University of Gothenburg, Sweden
All deadlines are 11:59PM UTC-12:00 (āanywhere on Earthā).
Language models And RePresentations (LARP) brings together researchers that explore how information is structured, encoded and used in computational language systems. We encourage submissions on both neural (sub-symbolic) and discrete (symbolic) representations from the fields of computational linguistics and artificial intelligence or their intersection.
The conference is organised by the Centre for Linguistic Theory and Studies in Probability (CLASP, https://gu-clasp.github.io/), University of Gothenburg. The conference will be held between September 8 and 9 in Gothenburg, Sweden (on-site and hybrid).
Topics of interest
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We hope to see innovative work that considers neural and symbolic learning and processing in terms of different modelling perspectives. Papers are invited on the following topics as they relate to natural language:
- Neuro-symbolic integration: novel hybrid frameworks combining symbolic representations with neural network learning for enhanced reasoning and natural language processing
- Explainable machine learning: techniques that allow for better interpretability, transparency, and explainability of neural, symbolic and neuro-symbolic architectures
- Logical constraints in neural networks: methods that use logical structures (e.g., knowledge bases, ontologies) for post-hoc or inherent explainability
- Automated reasoning systems providing human-interpretable rationales for decisions
- Symbolic planning and control in neural workflows
- Application-driven scenarios (robots, autonomous systems) showcasing benefits of symbolic approaches
- Techniques that integrate symbolic representations into text or multimodal generation
- Approaches that enforce domain knowledge, consistency, or adherence to constraints in text and/or multimodal generation
- Fine-tuning and in-context learning strategies that incorporate logical or rule-based knowledge
This list is illustrative but is not intended to be exhaustive.
Submission Requirements
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**Archival track**
Archival track will feature the following types of submissions to appear in conference proceedings: we accept long papers (max 8 pages) and short papers (max 4 pages). Long and short papers must describe substantial, original, and unpublished research. Supplementary materials, appendices, a section on limitations and ethical concerns do not count towards the page limit. Archival accepted papers will be published in the 2025 ACL Anthology as a CLASP Conference Proceedings. Papers should be electronically submitted via the OpenReview system at https://openreview.net/group?id=CLASP/LARP/2025/Conference. Submissions should be .pdf files and use the LaTeX or Word templates provided for ACL submissions (https://github.com/acl-org/acl-style-files). Archival submissions must be anonymous. Please make sure that you select the right track when submitting your paper. Contact the organisers if you have questions.
**NEW!!! ARR Commitment**
We accept papers that have been pre-reviewed via ACL Rolling Review. You are welcome to submit the link to your ARR submission. The linked submission must include both the reviews and the meta-review. Both the submission and its reviews will be evaluated by the programme committee for their relevance to the conference topic. To submit, please visit https://openreview.net/group?id=CLASP/LARP/2025/ARR_Commitment.
**Non-archival track**
At the time of submission, authors may indicate that their paper should be considered for the non-archival track. The format for non-archival submissions is the same for both long and short papers as it is for the archival submissions. Non-archival papers will not undergo the peer review process. They will be evaluated by the programme committee for clarity and content relevance before the decision by the PC is made. Non-archival papers do not need to be anonymous. If accepted, they are to be published on the conference website and presented as posters.
**Poster abstracts**
We invite researchers to submit abstracts in the above areas of interest. Abstract submissions are non-archival. This is a great opportunity to get feedback on work in progress or to present previously published work to a new audience. The deadline for abstract submission is the same as for non-archival papers. Notifications of acceptance will be sent out by August 8, 2025. Abstract submissions should be .pdf files and use the LaTeX or Word templates provided for ACL submissions (https://github.com/acl-org/acl-style-files). Abstracts should not exceed 2 pages (supplementary materials, appendices, a section on limitations and ethical concerns are not included) and be submitted via OpenReview system at https://openreview.net/group?id=CLASP/LARP/2025/Conference. The acceptance decision on abstracts will go through the same procedure as papers for the non-archival track. Accepted abstracts will be presented as posters.
Concurrent Submissions
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Papers that have been or will be submitted to other conferences or publications must indicate this at submission time using a footnote on the title page of the submissions. We will not accept publications or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere.
Authors of papers accepted for presentation at LARP must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. All accepted papers must be presented at the conference to appear in the Proceedings.
Camera Ready Versions
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Camera ready versions must be deanonymised. Archival submissions get 1 more page to address comments from reviewers: long papers can be maximum up to 9 pages, short papers can be maximum up to 5 pages.
Organisers
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LARP is organised by the Centre for Linguistic Theory and Studies in Probability (CLASP, https://gu-clasp.github.io/) at the Department of Philosophy, Linguistics and Theory of Science (FLoV), University of Gothenburg. CLASP focuses its research on the application of probabilistic and information theoretic methods to the analysis of natural language. CLASP is concerned both with understanding the cognitive foundations of language and developing efficient language technology. We work at the interface of computational linguistics/natural language processing, theoretical linguistics, and cognitive science.
For practical inquiries, send an email to larp2025(a)flov.gu.se.
The eighth workshop on Universal Dependencies
Part of SyntaxFest 2025, Ljubljana, August 26-29
Call for Papers
Universal Dependencies (UD) is a framework for cross-linguistically
consistent treebank annotation that has so far been applied to over 150
languages (https://universaldependencies.org
<https://universaldependencies.org/>). The framework is aiming to
capture similarities as well as idiosyncrasies among typologically
different languages (e.g., morphologically rich languages, pro-drop
languages, and languages featuring clitic doubling). The goal in
developing UD was not only to support comparative evaluation and
cross-lingual learning but also to facilitate multilingual natural
language processing and enable comparative linguistic studies.
The Universal Dependencies Workshop series was started to create a forum
for discussion of the theory and practice of UD, its use in research and
development, and its future goals and challenges. Some of the previous
workshops have been co-located with Coling, EMNLP, and SyntaxFest. We
invite papers on all topics relevant to UD, including but not limited to:
*
Theoretical foundations and universal guidelines
*
Linguistic analysis of specific languages and/or constructions
*
Language typology and linguistic universals
*
Treebank annotation, conversion and validation
*
Word segmentation, morphological tagging and syntactic parsing
*
The use of the UD data for evaluating or understanding language models
*
Linguistic studies based on the UD data
Priority will be given to papers that adopt a cross-lingual perspective.
SyntaxFest 2025
https://syntaxfest.github.io/syntaxfest25/index.html
SyntaxFest is a biennial event that brings together a series of events
focusing on topics such as empirical syntax, linguistic annotation,
statistical language analysis, and natural language processing. Apart
from the 8th UDW, it hosts TLT, DepLing, IWPT, and Quasy.Ā Each workshop
publishes its own proceedings, but all events follow a shared submission
process, timeline, and programme. The UniDive 1st Shared Task on
Morphosyntactic Parsing takes place on Aug, 26.
Important Dates
Paper submission DeadlineApril 15, 2025
Notification of acceptanceJune 2, 2025
Camera-ready version dueJune 16, 2025
Conference datesAugust 26-29, 2025
Submission Information
Submission site and paper requirements will be provided in the next CfP
Workshop Chairs
Gosse Bouma (University of Groningen) Cagri Coltekin (University of
Tübingen)
--
Gosse Bouma, Communication and Information Science, Groningen University, P.o. box 716, 9700 AS Groningen
G.Bouma(a)rug.nl tel. +31-50-3635937
(Apologies for cross-posting)
Conversational agents offer promising opportunities for education as they can fulfill various roles (e.g., intelligent tutors and service-oriented assistants) and pursue different objectives (e.g., improving student skills and increasing instructional efficiency), among which serving as an AI tutor is one of the most prevalent tasks. Recent advances in the development of Large Language Models (LLMs) provide our field with promising ways of building AI-based conversational tutors, which can generate human-sounding dialogues on the fly. The key question posed in previous research, however, remains: How can we test whether state-of-the-art generative models are good AI teachers, capable of replying to a student in an educational dialogue?
In this shared task, we focus on educational dialogues between a student and a tutor in the mathematical domain grounded in student mistakes or confusion, where the AI tutor aims to remediate such mistakes or confusions, with the goal of evaluating the quality of tutor responses along the key dimensions of tutorās ability to (1) identify studentās mistake, (2) point to its location, (3) provide the student with relevant pedagogical guidance, that is also (4) actionable. Dialogues used in this shared task include the dialogue contexts from MathDial (Macina et al., 2023) and Bridge (Wang et al., 2024) datasets, including the last utterance from the student containing a mistake, and a set of responses to the last studentās utterance from a range of LLM-based tutors and, where available, human tutors, aimed at mistake remediation and annotated for their quality.
Data Release
We are pleased to announce that the test data is now released and can be accessed at https://github.com/kaushal0494/UnifyingAITutorEvaluation/blob/main/BEA_Sharā¦.
Test Platform
The competition is hosted on the CodaBench (https://www.codabench.org<https://www.codabench.org/>) platform, with a separate page for each track.
Track 1 ā Mistake Identification: https://www.codabench.org/competitions/7195/
Track 2 ā Mistake Location: https://www.codabench.org/competitions/7200/
Track 3 ā Providing Guidance: https://www.codabench.org/competitions/7202/
Track 4 ā Actionability: https://www.codabench.org/competitions/7203/
Track 5 ā Tutor Identification: https://www.codabench.org/competitions/7206/
Registered teams are welcome to participate in any number of tracks.
Participation
In order to participate in the test phase, you will need to create an account on CodaBench<https://www.codabench.org/>, if you don't already have one. After that, please register for the specific track(s) you wish to submit your systems' predictions to. By participating in this shared task, you are agreeing to the Terms outlined on the shared task track webpages (see tab "Terms").
The total number of submissions per each team is capped at 5 for each track (with the maximum of 2 submissions per day). The platform will ask you to provide your team name and a title for each submission ā the latter may be useful to distinguish between your different submissions. All submissions will then be reflected on the CodaBench platform together with all the accompanying information (team name, affiliation, and submission name). Please note that we will publish the official final leaderboard on the shared task website (https://sig-edu.org/sharedtask/2025), where only the first 5 submissions per team will be included to adhere with the terms of this shared task.
To be added to the shared task mailing list for further updates, please register here: https://forms.gle/fKJcdvL2kCrPcu8X6
Important dates
All deadlines are 11:59pm UTC-12 (anywhere on Earth).
- March 12, 2025: Development data release
- April 10, 2025: Test data release
- April 24, 2025: System submissions from teams due
- April 30, 2025: Evaluation of the results by the organizers
- May 21, 2025: System papers due
- May 28, 2025: Paper reviews returned
- June 9, 2025: Final camera-ready submissions
- July 31 and August 1, 2025: BEA 2025 workshop at ACL
Contact: bea.sharedtask.2025(a)gmail.com<mailto:bea.sharedtask.2025@gmail.com>
Shared task website: https://sig-edu.org/sharedtask/2025
The Natural Language Processing Section at the Department of Computer Science at University of Copenhagen is advertising an 18 month position for a Postdoctoral Researcher in Natural Language Processing.
The position involves interdisciplinary research on the development and application of large language models in public service, and sometimes sensitive legal settings, within the context of low-reserouce languages, such as Danish and order Nordic languages. Applicants should have a genuine interest in collaborating across inter-disciplinary boundaries with researchers in the areas of ethics, governance, and AI. The post is funded by the Poul Due Jensen Foundation ā project: Responsible AI for Value Creation, with partners spanning several major universities in Denmark, and a collection of Danish public- and private organizations. The exact research topics are open to discussion between the successful candidate and the project co-ordinators.
The successful candidate will join the Language and Multimodal Processing group, which is part of a section with a strong, international, and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics, and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. Further information about the group is available here: https://lampgroup.github.io/, and further information about the Department is available here: https://di.ku.dk/english/.
The application deadline is May 1, 2025, with interviews on the June 4, 2025, and a start date of 1 August, 2025, or as soon as possible thereafter. Further information about the position can be found here: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentIā¦
Inquiries about the position can be made at de(a)di.ku.dk.
Dear Applicants,
The Diversity & Inclusion (D&I) chairs are delighted to invite
applications for Birds of a Feather (BoF) sessions and Affinity Group
meetings at ACL 2025. Please see our call at
https://2025.aclweb.org/calls/bof_affinity_events/ for more details and
up-to-date information. If you are interested in organizing a BoF
session and/or an Affinity Group meeting to explore a specific theme in
NLP and beyond, we encourage you to submit your proposals. We are here
to support you in facilitating these sessions.
Submission Deadline: May 25, 2025, 11:59pm (Anywhere on Earth)
Notification Date: June 3, 2025, 11:59 pm (Anywhere on Earth)
If you have any questions or concerns, feel free to reach out to us at
acl2025diversity(a)googlegroups.com.
Sincerely,
ACL 2025 D&I Committee
First Call for Participation
EUROLAN-2025
Summer School on
NLP in the Age of Complex Networks and Agentic AI
15 ā 21 September 2025, TimiČoara (Romania) & online
https://conferences.info.uaic.ro/eurolan/2025/
The 17th in the series of EUROLAN biannual Schools on Natural Language Processing
EUROLAN-2025 will bring together researchers and experts in machine learning, artificial intelligence (AI), reasoning systems, and computational linguistics applied to natural language processing (NLP), with a special focus on the interaction between NLP, complex networks, and agentic AI.
Following the tradition of previous EUROLAN schools (see past editions <https://conferences.info.uaic.ro/eurolan/2025/?page_id=14023>), each day will feature:
Morning sessions with tutorials, offering in-depth insights into key concepts.
Afternoon hands-on exercises, where participants will apply lecture content to real-world problems and develop small-scale applications as a basis for future work.
Brainstorming sessions and round tables, encouraging direct interaction with experts and fostering collaborative discussions.
Tutorials and practical sessions will deal with the following topics:
Graph-Based Representations of Text and Knowledge
Social Network Analysis for Linguistic Modeling
Influence Propagation and Discourse Dynamics in Online Platforms, Multimodal NLP
Integrating Text, Image, and Speech Processing
NLP and Autonomous AI
Invited Lecturers
MÄdÄlina Chitez - West University of TimiČoara
Liviu Dinu - University of Bucharest
Nancy Ide - Vassar College and Brandeis University
Rada Mihalcea - University of Michigan
Dan TufiČ - Romanian Academy
Mihai DascÄlu - POLITEHNICA University of Bucharest
Mark Finlayson - Florida International University
others TBA
Registration has opened for ASIRF 2025, the Autumn School 2025 -
Information Retrieval and Information Foraging.
For more information on the schedule, program, or registration:
https://fg-retrieval.gi.de/veranstaltung/asirf2025
ASIRF provides a holistic perspective and shows how Information
Retrieval and Information Foraging interact. In addition to conceptual
and methodological knowledge from both fields, ASIRF is highly
interdisciplinary. The autumn school will provide different tutorials,
from foundations of Information Retrieval and Information Foraging to
recent research topics such as using large language models for
information retrieval tasks or applications of IR techniques in
application domains.
The intended audience of ASIRF are doctoral or MA students and young
researchers working in Information Retrieval, Information Foraging, or
using concepts or methods from these fields in their research domains.
Students and lecturers will live together for a week at Schloss
Dagstuhl, which guarantees the school's traditionally highly
communicative and interactive atmosphere.
The registration is free this year. A small number of partial travel
grants are also available.
The autumn school will take place at the best computer science venue
ever Schloss Dagstuhl ā Leibniz-Zentrum für Informatik (LZI) between 24
and 29 August 2025.
The program includes the following lectures and tutorials:
- Foundations of Interactive IR (Norbert Fuhr, U Duisburg-Essen)
- Deep Learning for IR (Avishek Anand, TU Delft)
- Conversational Search (Ralf Schenkel, U Trier)
- Fairness and Bias (Andrea Horbach, U Kiel)
- Multimodal retrieval and data analysis (Henning Müller, HES-SO)
- User Experiments and Interactive IR (Thomas Mandl, U Hildesheim)
- Complex Casual Leisure Information Needs (Vivien Petras, HU Berlin)
- User Simulations for IR (Philipp Schaer, TH Kƶln)
See you in Dagstuhl!
ASIRF 2025 organizers
Philipp Schaer, Ralf Schenkel, and Thomas Mandl
Dear Applicants,
The Diversity & Inclusion (D&I) chairs are delighted to invite applications
for Birds of a Feather (BoF) sessions and Affinity Group meetings at ACL
2025. Please see our call at
https://2025.aclweb.org/calls/bof_affinity_events/ for more details and
up-to-date information. If you are interested in organizing a BoF session
and/or an Affinity Group meeting to explore a specific theme in NLP and
beyond, we encourage you to submit your proposals. We are here to support
you in facilitating these sessions.
Submission Deadline: May 25, 2025, 11:59pm (Anywhere on Earth)
Notification Date: June 3, 2025, 11:59 pm (Anywhere on Earth)
If you have any questions or concerns, feel free to reach out to us at
acl2025diversity(a)googlegroups.com.
Sincerely,
ACL 2025 D&I Committee
--
Horacio Saggion
Full Professor / Chair in Computer Science and Artificial Intelligence
Head of the Natural Language Processing Group - TALN
Project Coordinator iDEM Project (HE)
Co-PI of the AI-BOOST project (HE)
Co-PI of the IDEAL project (HE)
Universitat Pompeu Fabra
https://twitter.com/h_saggionhttps://www.linkedin.com/in/horacio-saggion-1749b916