#TBT #NLProc "Narratives at Conflict" by Sinelnik and @dirkhovy.bsky.social looks at hidden tactics of disinformation campaigns! They analyzed 8,000 news articles across 4 languages to reveal how disinformation campaigns adapt narratives for different audiences. 🕵️‍♀️ aclanthology.org/2024.acl-srw...

Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns

Antonina Sinelnik, Dirk Hovy. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop). 2024.

aclanthology.org

It was a pleasure to host @radamihalcea.bsky.social at our weekly lab seminar. Thank you for the inspiring talk and thought-provoking discussion on the importance of the long tail in NLP. We really enjoyed the conversation!

#MemoryModay #NLProc 'My Answer is C' by Wang et al. (2024) underscores the scrutiny needed for full text responses in LLMs multi-choice evaluations. aclanthology.org/2024.finding...

“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models

Xinpeng Wang, Bolei Ma, Chengzhi Hu, Leon Weber-Genzel, Paul Röttger, Frauke Kreuter, Dirk Hovy, Barbara Plank. Findings of the Association for Computational Linguistics: ACL 2024. 2024.

aclanthology.org

#TBT #NLProc 'Language is Scary when Over-Analyzed...' by @arimuti.bsky.social et al. explores argumentative reasoning in misogyny detection (2024). Detecting implicit misogyny proves challenging for language models. aclanthology.org/2024.emnlp-m...

Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts

Arianna Muti, Federico Ruggeri, Khalid Al Khatib, Alberto Barrón-Cedeño, Tommaso Caselli. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.

aclanthology.org

For today's reading group, @veraneplenbroek.bsky.social presented "Old Habits Die Hard: How Conversational History Geometrically Traps LLMs" by Simhi et al. (2026) Paper: arxiv.org/abs/2603.03308 #NLProc

🏆 Congrats to @zeerak.bsky.social and @dirkhovy.bsky.social on the 2016 Test of Time Award! 🎉 "Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter" has shaped research on #hatespeech! Paper: aclanthology.org/N16-2013/ #NLProc

🧠🤖 It was a pleasure to host @andreadevarda.bsky.social for his talk, "Large Language Models as Models of Human Language(s) and Higher-Level Cognition." A truly inspiring talk! #NLProc

#MemoryModay #NLProc Fornaciari et al.'s 2022 'Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa' is a useful Python tool for benchmarking NLP predictions with bootstrapped sampling. aclanthology.org/2022.acl-dem...

Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa

Tommaso Fornaciari, Alexandra Uma, Massimo Poesio, Dirk Hovy. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. 2022.

aclanthology.org

For our last reading group, @pranav-nlp.bsky.social presented "Enhancing University Curricula with Integrated AI Ethics Education: A Comprehensive Approach" by Deb et al. (2025) Link: dl.acm.org/doi/10.1145/... #AIEthics #NLProc

@milanlp.bsky.social x #WomeninAI

We welcome work on gender bias detection, mitigation, LLMs, intersectionality & more. Join us virtually on November 9! 🌐 Submit: openreview.net/group?id=acl... #NLProc #AACL2026

🚨 Some deadlines have been updated, so please check all dates on the CFP: gebnlp-workshop.github.io/cfp.html 📅 Direct submission: Sept 2, 2026 📅Pre-reviewed (ARR) submission deadline: Sep 29, 2026

📢 Second Call for Papers! The 7th Workshop on Gender Bias in NLP #GeBNLP returns, co-located with AACL 2026. This time fully remote! 🚀 Still time to submit! 🗓️

#TBT #NLProc Bergman et al.'s 'Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design' explores AI launch with a value-sensitive lens. aclanthology.org/2022.sigdial...

Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design

A. Stevie Bergman, Gavin Abercrombie, Shannon Spruit, Dirk Hovy, Emily Dinan, Y-Lan Boureau, Verena Rieser. Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and…

aclanthology.org

#MemoryMonday #NLProc 'Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists' by Attanasio et al. redefines bias reduction in #AI, sans prior term knowledge. #2022Publication aclanthology.org/2022.finding...

Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists

Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis. Findings of the Association for Computational Linguistics: ACL 2022. 2022.

aclanthology.org

#TBT #NLProc Hessenthaler et al.'s 2022 work delves into AI's link with fairness & energy reduction in English NLP models, challenging bias reduction theories. #AI #NLP #sustainability aclanthology.org/2022.emnlp-m...

Bridging Fairness and Environmental Sustainability in Natural Language Processing

Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.

aclanthology.org

For today's reading group, @esradonmez.bsky.social presented "RLHF May Not Reflect Genuine Preferences" by Ghafouri et al. (2026). Interesting thoughts on whether annotations are actually real preferences! Paper: arxiv.org/abs/2604.03238 #NLProc #RLHF

Very happy to have given my first keynote at an #NLProc related conference! This morning at CORIA-TALN 2026 in Nantes, I talked about emerging risks and research directions around the everyday use of LLMs. coria-taln-2026.ls2n.fr/conferences-...

#MemoryMonday #NLProc 'BERTective: Language Models and Contextual Information for Deception Detection' by Fornaciari, T. et al. (2021) explores AI's ability to detect deceit through context. www.aclweb.org/anthology/20...

BERTective: Language Models and Contextual Information for Deception Detection

Tommaso Fornaciari, Federico Bianchi, Massimo Poesio, Dirk Hovy. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. 2021.

aclweb.org

#TBT #NLProc 'Exploring challenges in Zero-shot Cross-lingual Hate Speech Detection, @deboranozza.bsky.social (2021) reveals how current models may inaccurately label non-hateful, language-specific interjections as hate speech signals.' aclanthology.org/2021.acl-sho...

Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection

Debora Nozza. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short…

aclanthology.org

For today's reading group, @marlutz.bsky.social presented "State media control influences large language models" by Waight et al. (2026) Paper: www.nature.com/articles/s41... #NLProc

We were honored to welcome Giulia Barbareschi to our lab for an inspiring conversation on inclusive technology and what NLP should learn from it. Thank you for sharing your insights and vision! #InclusiveTech #Accessibility #NLProc

#MemoryMonday #NLProc 'MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?' by Fornaciari et al. (2021) indicates that emotion and empathy are not related tasks for prediction. aclanthology.org/2021.wassa-1...

MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?

Tommaso Fornaciari, Federico Bianchi, Debora Nozza, Dirk Hovy. Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. 2021.

aclanthology.org

#TBT #NLProc 'Universal Joy: A Data Set and Results for Classifying Emotions Across Languages' by Lamprinidis et al. (2021) explores how AI research affects our planet. Tech can be green too! #SustainableTech aclanthology.org/2021.wassa-1.7

Universal Joy A Data Set and Results for Classifying Emotions Across Languages

Sotiris Lamprinidis, Federico Bianchi, Daniel Hardt, Dirk Hovy. Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. 2021.

aclanthology.org

For today's reading group, Urs Zaberer presented "Toward universal steering and monitoring of AI models" by Beaglehole et al. (2026) Paper: www.science.org/doi/10.1126/... #NLProc

#MemoryMonday #NLProc Uma, A. N. et al. examine AI model training in 'Learning from Disagreement: A Survey'. Disagreement-handling methods' performance is shaped by evaluation methods & dataset traits. www.jair.org/index.php/ja...

@taniseceron.bsky.social is presenting her work about political content in pre-training and post-training data at the AI & Society conference. #AIandSociety #NLProc

#TBT #NLProc 'Importance of Modeling Social Factors of Language: Theory and Practice' by @dirkhovy.bsky.social, Diyi Yang discusses NLP limitations, calling for focus on social factors, not just content. aclanthology.org/2021.naacl-m...

The Importance of Modeling Social Factors of Language: Theory and Practice

Dirk Hovy, Diyi Yang. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.

aclanthology.org

Last Friday, we had the pleasure of hosting Clement Jonathan Mazet-Sonilhac and Monika Kaczorowska for an insightful discussion on AI adoption and its impact on the quality of financial services. #NLProc #AI

#MemoryModay #NLProc 'Measuring Hurtful Sentence Completion in Language Models' by @debora_nozza et al. introduces HONEST, a new metric for harmful stereotypes. Language models use hurtful words 4.3% of the time.

HONEST: Measuring Hurtful Sentence Completion in Language Models

Debora Nozza, Federico Bianchi, Dirk Hovy. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.

aclanthology.org