MilaNLP Lab

For today's reading group, @pia-p.bsky.social presented "When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning" by Yijiang River Dong et al. (2025) Paper: aclanthology.org/2025.finding... #NLProc

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

science.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 aclanthology.org

#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 aclanthology.org

#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 aclanthology.org

#TBT #NLProc F. Bianchi & Dirk Hovy's 2021 paper points out 5 barriers in NLP research and suggests solutions. Details on risks, biases & costly trials here:

On the Gap between Adoption and Understanding in NLP aclanthology.org

For today's reading group, @knewmikel.bsky.social presented "Multitask-Bench: Unveiling and Mitigating Safety Gaps in LLMs Fine- tuning" by Essa Jan et al. (2025) Paper: aclanthology.org/2025.coling-... #NLProc

Multitask-Bench: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning aclanthology.org

#TBT #NLProc 'FEEL-IT: Emotion and Sentiment Classification for the Italian Language' by Federico Bianchi, @debora_nozza, Dirk Hovy (2021) presents FEEL-IT, a novel model for Italian emotion detection and sentiment analysis.

FEEL-IT: Emotion and Sentiment Classification for the Italian Language aclanthology.org

#MemoryModay #NLProc 'Five Sources of Bias in Natural Language Processing' by Dirk Hovy and Shrimai Prabhumoye. It outlines 5 bias sources in NLP: data, annotation, input, models, design. Info = fairness! #AIEthics

onlinelibrary.wiley.com

#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...

jair.org

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

🎉 Excited to welcome Lorena Calvo Bartolomé to our lab! Her expertise in NLP and signal processing will bring fresh perspectives to our research. She will be working on TOLD, a project exploring voice-based data collection as a richer alternative to written annotation. #NLProc

We had the pleasure of hosting @tresiwald.bsky.social and Alireza Salemi at our latest seminar. Andreas spoke about the reliability of language models through computational argumentation, while Alireza presented his work on personalizing LLMs. Thank you both for the inspiring talks! #NLProc

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