Attending 🌴#EMNLP2024 or interested in what people are working on these days? We organized it all for you with Knowledge Navigator! Explore all EMNLP 2025 accepted papers mapped by themes and subtopics—giving you a bird’s-eye view of the conference knowledge-navigators.github.io/emnlp_presenta…

Models like DeepSeek-R1 🐋 mark a fundamental shift in how LLMs approach complex problems. In our preprint on R1 Thoughtology, we study R1’s reasoning chains across a variety of tasks; investigating its capabilities, limitations, and behaviour. 🔗: mcgill-nlp.github.io/thoughtology/

RefVNLI Towards Scalable Evaluation of Subject-driven Text-to-image Generation

❗️ Confidence in text generation is tricky, as models can be confident in many, valid answers. 👀 Can we account for this without extra tuning or heuristics?

We propose task-agnostic metrics that work across various tasks using only model output probabilities. Check out our #ACL2025 work at arxiv.org/abs/2506.00637! Thank you to Ori Ernst + Prof Jackie Cheung!

🚨 Introducing LAQuer, accepted to #ACL2025 (main conf)! LAQuer provides more granular attribution for LLM generations: users can just highlight any output fact (top), and get attribution for that input snippet (bottom). This reduces the amount of text the user has to read by 2

Do LLMs hallucinate randomly? Not quite. Our #ACL2025 (Main) paper shows that hallucinations under irrelevant contexts follow a systematic failure mode — revealing how LLMs generalize using abstract classes + context cues, albeit unreliably. 📎 Paper: arxiv.org/abs/2505.22630 1/n

🚨 RAG is a popular approach but what happens when the retrieved sources provide conflicting information?🤔 We're excited to introduce our paper: “DRAGged into CONFLICTS: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs”🚀 A thread 🧵👇

A blizzard is raging in Montreal when your friend says “Wow, the weather is amazing!” Humans easily interpret irony, while LLMs struggle at it. We propose a 𝘳𝘩𝘦𝘵𝘰𝘳𝘪𝘤𝘢𝘭-𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘺-𝘢𝘸𝘢𝘳𝘦 probabilistic framework as a solution. arxiv.org/abs/2506.09301 @ #acl2025

📢 Call for Papers: NewSumm 2025 - The 5th New Frontiers in Summarization Workshop at EMNLP 2025 The summarization research community is invited to submit to NewSumm 2025, co-located with EMNLP 2025! As LLMs continue to transform our field, we're expanding beyond traditional