The goal of this workshop is to provide a venue for addressing these challenges, as well as a platform for tasks and resources supporting the processing of scientific documents. Our long-term objective is to establish scholarly and scientific texts as an essential domain for NLP research, to supplement current efforts on web text and news articles. [Read more](https://sdproc.org/2025/)

W09: SDP 2025: The 5th Workshop on Scholarly Document Processing

The REALM workshop aims to bring together researchers, practitioners, and thought leaders to discuss and align on the current landscape, key challenges, and future directions of LLM Agents. [Read more](https://realm-workshop.github.io/)

W08: REALM: First Workshop for Research on Agent Language Models

**Sponsored by:** [Google DeepMind](https://deepmind.google/), [Distributed Artificial Intelligence Research Institute (DAIR)](https://www.dair-institute.org/), [Apple](https://machinelearning.apple.com/) The AfricaNLP workshop brings together a diverse group of researchers to explore solutions, collaborations, and innovation around enhancing LLMs’ capabilities in African languages and ensuring cultural awareness in their applications. [Read more](https://2025.aclweb.org/program/workshops/)

W01: 6th AfricaNLP Workshop: Multilingual and Multicultural-aware LLMs (AfricaNLP)

**Sponsored by:** [CITEC](https://www.uni-bielefeld.de/zwe/citec/), [GSCL](https://gscl.org/), [IBM](https://research.ibm.com/) Argument Mining (also known as “argumentation mining”) is an emerging research area within computational linguistics that started with focusing on automatically identifying and classifying argument elements, covering several text genres such as legal documents, news articles, online debates, scholarly data, and many more. In recent years, the field (broadly Computational Argumentation) has grown to explore argument quality and synthesis on many levels. The field offers practical uses such as argument-focused search and debating technologies, e.g., IBM Project Debater. The growing interest in computational argumentation has led to several tutorials at major NLP conferences.

Besides providing a forum to discuss and exchange cutting edge research in this field, a secondary goal of this year's edition will be to broaden the disciplinary scope of the workshop by inviting other disciplines (e.g., (computational) social and political science, psychology, humanities) as well as other subareas of NLP to actively participate in the workshop and further shaping the field of argument mining. In particular, we would like to create synergies between the fields of argument mining and natural language reasoning. 
[Read more](https://argmining-org.github.io/)

W02: The 12th Workshop on Argument Mining (ArgMining)

[Read more](https://nlp4climate.github.io/)

W03: 2nd Workshop on Natural Language Processing meets Climate Change (ClimateNLP)

The Fact Extraction and Verification Workshop brings together researchers working on this topic as well as related ones such as recognizing textual entailment, question answering and argumentation mining. [Read more](https://fever.ai/)

W04: Eighth Workshop on Fact Extraction and VERification (FEVER)

Evaluating large language models (LLMs) is challenging. Running LLMs over medium or large scale corpus can be prohibitively expensive; they are consistently shown to be highly sensitive to prompt phrasing, and it is hard to formulate metrics which differentiate and rank different LLMs in a meaningful way. Consequently, the validity of the results obtained over popular benchmarks such as HELM or MMLU, lead to brittle conclusions (Sclar er al., 2024, Mizrahi et al., 2024, Alzahrani et al., 2024). We believe that meaningful, efficient, and robust evaluation is one of the cornerstones of the scientific method, and that achieving it should be a community-wide goal.

In this workshop we seek innovative research relating to the evaluation of LLMs and language generation systems in general. This includes, but is not limited to, robust, reproducible and efficient evaluation metrics, as well as new approaches for collecting evaluation data which can help in better differentiating between different systems and understanding their current bottlenecks. [Read more](https://gem-benchmark.com/workshop)

W05: GEM2 Workshop: Generation, Evaluation & Metrics

The Linguistic Annotation Workshop (LAW 2025) targets innovative research on linguistic annotation, focusing on subjectivity and the annotation of concepts from social sciences. [Read more](https://sigann.github.io/LAW-XIX-2025)

W06: The 19th Linguistic Annotation Workshop (LAW XIX)

The 4th Workshop on NLP for Positive Impact aims to advance innovative NLP research for positive societal impact, emphasizing responsible methods and diverse applications. [Read more](https://sites.google.com/view/nlp4positiveimpact)

W07: 4th Workshop on NLP for Positive Impact (NLP4PI)

Social influence (SI) is the change in an individual's thoughts, feelings, attitudes, or behaviors from interacting with another individual or a group. For example, a buyer uses SI skills to negotiate trade-offs and build rapport with the seller. SI is ubiquitous in everyday life, and hence, realistic human-machine conversations must reflect these dynamics, making it essential to model and understand SI in dialogue research systematically. This would improve SI systems' ability to understand users’ utterances, tailor communication strategies, personalize responses, and actively lead conversations. These challenges draw on perspectives not only from NLP and AI research but also from Game Theory, Affective Computing, Communication, and Social Psychology. [Read more](https://sites.google.com/view/sicon2025/home)

W10: The Third Workshop on Social Influence in Conversations (SICon 2025)

### Welcome to The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

To access this event page, you need to log in with the** email address you registered with**. Access credentials will be sent to your email from Underline - subject line "Welcome to ACL 2025". Please be sure to check your spam email folder if you do not see an email confirmation right away.

Please log in

To access this event page, you are required to register.
Please complete your registration to continue.

We recommend reading [**the registration details**](https://2025.aclweb.org/registration/) first.

Registration Required

ACL 2025 Workshops Program

Welcome to The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

Do you have any other suggestions or comments?

Your vote has been successfully recorded.