With the advent of large multimodal foundation models such as ChatGPT, Gemini, Claude, and DeepSeek, scientific research stands at the threshold of an AI-based technological transformation. Recent surveys indicate that the majority of researchers anticipate AI will become mainstream in scientific research within the next two years. This tutorial provides an in-depth overview of recent advances in AI-assisted tools and models that support and enhance the entire scientific research process, building upon findings from our recent survey paper.

We will explore how AI is revolutionizing each stage of the research cycle: (1) Literature Search and Summarization – examining AI-enhanced search systems, paper chat interfaces, graph-based knowledge discovery, and personalized recommender systems; (2) Idea Generation and Experimentation – covering LLM-based hypothesis formulation, multi-agent systems, and automated experimentation tools; (3) Multimodal Content Understanding and Generation – surveying approaches to scientific figure comprehension, automatic diagram generation from text, and poster/slide creation; (4) Text-based Content and Table Generation – reviewing models for abstracts, citations, meta-analysis tables, and long-form content like survey papers; and (5) AI-supported Peer Review – introducing automated review analysis, feedback generation, and meta-review synthesis.<br><br>

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T1: AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation

The workshop focuses on modeling diachronic semantic change. It explores state-of-the-art computational methodologies, theories and digital text resources on exploring the time-varying nature of human language.<br><br>

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W1: The 6th International Workshop on Computational Approaches to Language Change (LChange’26)

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MWE is a well-established series of workshops focusing on various aspects of multiword expressions, from their linguistic description and annotation to the development of tools able to process, identify, recognize them in text. This edition will also feature two shared tasks focused on MWEs: PARSEME 2.0 and AdMIRe 2.<br><br>

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W2: The 22nd Workshop on Multiword Expressions (MWE 2026)

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AbjadNLP workshop is dedicated to advancing Natural Language Processing for languages written in, or historically adapted to, the Arabic script. It brings together researchers working on Arabic and its many dialects, as well as on other languages such as Urdu, Persian, Pashto, Sorani Kurdish, Sindhi, Malay (Jawi), Uyghur, Ottoman Turkish, Hausa Ajami, Fula, Wolofal, Swahili Ajami, and others. The workshop aims to foster collaboration, resource creation, and tool development for these often under-resourced languages, contributing to a more inclusive and multilingual NLP community.<br><br>

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W3: The 2nd Workshop on NLP for Languages Using Arabic Script (AbjadNLP 2026)

The AfricaNLP workshop has become a core event for the African NLP community and has drawn global attendance and interest for researchers working on African languages. In the current landscape, large language models (LLMs) have seen widespread use and significant innovation, yet African languages remain underrepresented. To address this disparity, the theme for the 2026 workshop is “Multilingual Multimodal LLMs.” We believe this is an especially timely theme as LLMs are becoming more multilingually capable, but their performance across other modalities such as images and speech continues to lag behind.<br><br> 

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W4: The 7th AfricaNLP Workshop: Multilingual Multimodal LLMs

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With billions of individual pages on the web providing information on almost every conceivable topic, we should have the ability to reason about in a wide range of domains. However, in order to do so, we need to ensure that we trust the accuracy of the sources of information that we use. Handling false information coming from unreliable sources has become the focus of a lot of recent research and media coverage. In an effort to jointly address these problems, we are organizing the 9th installment of the Fact Extraction and VERification (FEVER) workshop to promote research in this area.<br><br> 

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W5: The Ninth Workshop on Fact Extraction and VERification (FEVER)

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The workshop provides a discussion panel for researchers working on MT systems/methods for low-resource and under-represented languages in general. We would like to help review/overview the state of MT for low-resource languages and define the most important directions. We also solicit papers dedicated to supplementary NLP tools that are used in any language and especially in low-resource languages. Overview papers of these NLP tools are very welcome.<br><br>

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W6: The Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)

Cognitive effects such as anchoring, positional effect, or confirmation bias are core aspects of human decision making and reasoning. As LLMs increasingly act as communicative partners, reasoning tools, and evaluators, understanding how these cognitive effects influence their behavior and vice versa has become essential. While recent studies have adapted psychological experiments to detect cognitive biases in LLMs, they often use a particular kind of experimental setup from psychology that carries implications for human performance. In addition, current NLP studies often confuse cognitive effects with biases, diverging from their psychological foundations and overlooking potentially functional aspects of these phenomena.

In this tutorial, jointly organized by NLP researchers and a cognitive psychologist and decision scientist, we aim to build shared conceptual and methodological ground between the two disciplines. We begin by outlining how cognitive effects and biases are defined, validated, and sometimes debated within psychology, highlighting differences and contradictions in experimental designs. We then bridge these insights to NLP through an overview of key studies examining cognitive biases in LLMs, mapping their methodological parallels and divergences. The tutorial also includes a hands-on component where participants explore the challenges of detecting a single cognitive bias (e.g., positional bias) in multilingual LLMs, illustrating the nuances and pitfalls of such evaluations. We conclude by discussing emerging research directions and open questions at the intersection of cognitive science and large language models.<br><br>

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T2: Cognitive Effects and Biases in Large Language Models

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The workshop aims to foster cross-disciplinary collaboration between NLP and Digital Humanities researchers to develop interpretable, domain-adapted language technologies that effectively support the analysis of diverse, often historical or low-resource, cultural and linguistic data.<br><br> 

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W13: The 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature SIGHUM (LaTeCH-CLfL) 2026 (Day 1)

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This workshop will provide a forum for researchers studying medical and healthcare language in the humanities and social sciences to discuss and compare their use of both quantitative and qualitative methods in their research.<br><br> 

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W7: Workshop on Linguistic Analysis for Health (HeaLing)

#### *Message from the General Chair, Aline Villavicencio*
I’m delighted and honoured to welcome you to the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026), taking place in the beautiful city of Rabat, in Morocco, in March 24-29, 2026. EACL is the flagship European conference of the Association and EACL 2026 proudly continues our field’s tradition of excellence in scholarship, innovation, and inclusivity. I am deeply grateful to the many volunteers whose dedication, generosity, and tireless efforts have made this conference possible.
For the first time EACL is being hosted in the African continent. This is an important milestone for our community, and we are grateful to our Moroccan hosts for enabling this historic moment by bringing this edition of EACL to Rabat. We are also delighted that the Second Arabic NLP School is co-located with EACL. We hope attendees enjoy this wonderful opportunity to strengthen ties with the Computational Linguistics communities across the African continent. * [Read full message](https://drive.google.com/file/d/14NlmHvwM6fPJuMmOvVh7K0vtQbEyv3SZ/view?usp=sharing)*<br><br>
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EACL 2026 Workshops and Tutorials Program

As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas concerned with computational approaches to natural language.<br><br><br>

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