Do LLMs have personalities? This paper introduces LMLPA, a framework for assessing linguistic personalities of LLMs using adapted Big Five inventories + AI raters, validated for reliability and consistency. 📄 Read in Computational Linguistics: direct.mit.edu/coli/article...

Evaluating NLG remains challenging — even with LLMs. This survey reviews LLM-based evaluation methods: prompting, fine-tuning, and human–LLM collaboration, and outlines key open problems. 📄 Read in Computational Linguistics: direct.mit.edu/coli/article...

LLMs can generate fluent text — but can they twist your tongue? TwisterLister generates phoneme-aware tongue twisters, with a 17k-example dataset and phonologically constrained decoding. 📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...

Can LLMs learn possible human languages but struggle with impossible ones? Kallini et al. claimed evidence, but Hunter argues their key experiment conflates factors — the core question remains open. 📄 Read the article in Computational Linguistics: direct.mit.edu/coli/article...

Even state-of-the-art MT systems struggle with ambiguous words — especially rare senses. DiBiMT is a new fully human-curated benchmark across 8 language pairs to study disambiguation bias in MT. 📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...

We're honored to announce the recipient of the ACL 2025 Distinguished Service Award! 🏅 This award recognizes extraordinary and sustained contributions to the computational linguistics community.

📚The dissertation will be published in the CL journal. 💬Catch the talk right after the award presentation! #NLProc Congratulations to all these outstanding dissertations in NLP and CL — the future of #NLProc is in excellent hands! 🙌

Sewon Min 🏆 presenting the essence of her thesis: Rethinking Data Use in Large Language Models -- It won the first ACL Computational Linguistics Doctoral Dissertation Award 🎓✨ #ACL2025NLP #CLJournal @complingjournal.bsky.social

📚Tom Sherborne: Modeling Cross-lingual Transfer for Semantic Parsing Sherborne’s dissertation develops sophisticated methods for cross-lingual transfer into low-resource languages, demonstrating their effectiveness in the context of semantic parsing for integration with database APIs.

📚Ashish Sharma: Human-AI Collaboration to Support Mental Health and Well-Being Sharma’s dissertation pushes the boundaries of human-AI collaboration along with research in empathy detection and generation, advancing the application of NLP to mental health

📚 Manling Li: Event-Centric Multimodal Knowledge Acquisition Li’s dissertation offers a comprehensive framework for multimodal event extraction and reasoning, advancing important tasks such as video question answering and future event prediction

This year ACL inaugurates the ✨🎓ACL Computational Linguistics Doctoral Dissertation Award! 🎓✨ Instrumental for launching this inaugural prize is the Computational Linguistics Journal @CompLingJournal, with support of the ACL Exec. #CLJournal #ComputationalLinguistics #ACL2025NLP @CompLingJournal

🏆 Who will take home the very first award? The inaugural ACL Computational Linguistics Doctoral Dissertation Award will be revealed Monday, July 28 (Day 1, 4pm) at #ACL2025. Chaired by Kathy McKeown. Any predictions? 🤔🔥

Volume 51, Issue 2 📣 Access it at direct.mit.edu/coli/issue/5... The articles included in this issue are listed in the comments below. 🧵

🚨 As LLMs generate more of the text we see daily, detecting AI-generated text is more critical than ever. New survey from the University of Macau explores cutting-edge detection methods, key challenges, and future directions to ensure responsible AI use. Read: direct.mit.edu/coli/article...

🔍 Neural semantic parsers are great – but often just parrot surface text. Researchers from the University of Groningen propose a taxonomical parser that builds deeper, hierarchical meaning representations. Read: direct.mit.edu/coli/article...

🚀 New from Queen Mary University of London: A unified framework for evaluating synthetic data generation from user-generated text! 📱💬 It tackles style, meaning, and privacy – paving the way for safe, shareable, high-quality synthetic language data. Read: direct.mit.edu/coli/article...

How do humans understand novel sentence meanings? A new dataset (STS3k) from UniMelb & Hitotsubashi researchers tests compositionality in language models. Findings: hybrids of syntax + vectors better match human judgments than top transformers.🧠📚 Read: direct.mit.edu/coli/article...

Researchers from the University of Edinburgh, the University of Zurich, Supertext, and Microsoft introduce ACES, a challenging benchmark spanning 146 language pairs, in their 'Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets'. Read: direct.mit.edu/coli/article...

Researchers from Georgetown University, LMU Munich, Abo Akademi, and Indiana University present “eRST: A Signaled Graph Theory of Discourse Relations and Organization”. Read: direct.mit.edu/coli/article...

In his ACL Lifetime Achievement Award article, Dr. Ralph Grishman reflects on five decades of progress in Information Extraction — from early parsers to MUC, ACE, and KBP. 📄 MUCking In, or Fifty Years in Information Extraction Now in Computational Linguistics Read: direct.mit.edu/coli/article...

Our Editor-in-Chief, Dr. Wei Lu, presents a new vision for the journal in the editorial 'Opening a New Chapter for Computational Linguistics', marking a forward-looking transition as the journal enters its second half-century. Read: direct.mit.edu/coli/article...

Volume 51, Issue 1 is out, please access the issue at direct.mit.edu/coli/issue/5... The articles included in this issue are listed in the comments below. 🧵