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Debora Nozza

@deboranozza.bsky.social
526 followers 485 following 27 posts

Assistant Professor at Bocconi University in MilaNLP group • Working in #NLP, #CSS and #Ethics • She/her • #ERCStG PERSONAE

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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 29/09/2026
We're excited to welcome Maite Heredia to our lab! 👋 She will be visiting us for the upcoming months. She works on developing resources and evaluating models for code-switching and non-standard language varieties. #NLProc
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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 29/09/2026
For last week's @milanlp.bsky.social seminar, we had the pleasure to host Hongyu Chen. She presented her upcoming EMNLP paper "Contrast Comes at a Cost: Prompting Large Language Models for Perception-Centered Gendered Style Transfer". #NLProc
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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 28/09/2026
#MemoryModay #NLProc 'Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks' by @paul-rottger.bsky.social et al. (2022) explores descriptive and prescriptive data labeling paradigms. aclanthology.org/2022.naacl-m...
aclanthology.org
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks
Paul Röttger, Bertie Vidgen, Dirk Hovy, Janet Pierrehumbert. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language…
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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 24/09/2026
#TBT #NLProc 'Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages' funnels limited target-language data to fine-tune models & enhance effectiveness. By @paul-rottger.bsky.social et al. aclanthology.org/2022.emnlp-m...
aclanthology.org
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages
Paul Röttger, Debora Nozza, Federico Bianchi, Dirk Hovy. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 24/09/2026
For today's reading group, @deboranozza.bsky.social presented "LLMs as Oracles: Reliance on LLMs for Subjective Personal Questions" by @myra.bsky.social et al. (2026) Paper: arxiv.org/pdf/2609.14849 #NLProc
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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 21/09/2026
#MemoryModay #NLProc 'SocioProbe: What, When, and Where Language Models Learn about Sociodemographics' - Lauscher et al. delve into language models' grasp of sociodemographics. Their findings? Models learn, but don't apply it. aclanthology.org/2022.emnlp-m...
aclanthology.org
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
Anne Lauscher, Federico Bianchi, Samuel R. Bowman, Dirk Hovy. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 21/09/2026
👋 We’re delighted to welcome @celianri.bsky.social, who’ll be visiting our lab over the next few months! Her research explores moderation practices on Reddit, combining social-graph signals with NLP to predict moderation outcomes. Great to have you with us, Célia!
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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 17/09/2026
#TBT #NLProc 'Detecting Misogynous Memes with Text & Image Modalities' by Attanasio, @deboranozza.bsky.social, Bianchi. Their novel system uses Perceiver IO, surpassing all previous benchmarks. #AI #ScienceUpdate aclanthology.org/2022.semeval...
aclanthology.org
MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities
Giuseppe Attanasio, Debora Nozza, Federico Bianchi. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). 2022.
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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 14/09/2026
#MemoryModay #NLProc #AI #MachineLearning #SafetyFirst 'Safety-Tuned LLaMAs: Improving LLMs Safety' by Bianchi et al. explores training LLMs for safe refusals, warns of over-tuning. arxiv.org/pdf/2309.07875
openreview.net
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Reposted by Debora Nozza
Marta Marchiori Manerba @martamarchiori.bsky.social · 12/09/2026
I spent the last few days in Ghent to celebrate @cerveza-inglesa.bsky.social brilliant and socially relevant Marie Curie project, with amazing researchers @deboranozza.bsky.social Greta Damo and @elslefever.bsky.social, whom I deeply, truly admire Thanks @lt3-ugent.bsky.social for having us! 🇧🇪
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Reposted by Debora Nozza
MilaNLP Lab @milanlp.bsky.social · 10/09/2026
#TBT #NLProc 'Understanding Political Discourse on Twitter through Election Manifestos' Maurer et al. (2024) present a method for predicting party positioning from tweets aclanthology.org/2024.finding...
arxiv.org
https://arxiv.org/pdf/2403.04445
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MilaNLP Lab @milanlp.bsky.social · 10/09/2026
We're back with the reading group! Today Lorena Calvo-Bartolomé presented "The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs" Paper: aclanthology.org/2025.acl-lon... #NLProc #LLMasajudge
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MilaNLP Lab @milanlp.bsky.social · 07/09/2026
#MemoryModay #NLProc Outstanding Paper at ACL 2024! @paul-rottger.bsky.social et al. evaluate LLM values and opinions in 'Political Compass or Spinning Arrow?' aclanthology.org/2024.acl-lon...
aclanthology.org
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Kirk, Hinrich Schuetze, Dirk Hovy. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics…
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MilaNLP Lab @milanlp.bsky.social · 03/09/2026
We are back with #TBT #NLProc Best Paper at NeurIPS D&B 2024: Hanna Rose Kirk, @paul-rottger.bsky.social et al. introduce 'The PRISM Alignment Dataset' arxiv.org/pdf/2404.16019
arxiv.org
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Gender Bias in NLP Workshop @genderbiasnlp.bsky.social · 31/08/2026
📢 Deadline Extension! The direct paper submission deadline for the 7th Workshop on Gender Bias in NLP has been extended to September 7, 2026 (AoE). Take advantage of the extra 5 days and send us your submissions: t.co/TLFxh5VaXm #NLProc #AACL2026
t.co
https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/GeBNLP_Direct_Submission
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Alessia Melegaro @alemelegaro.bsky.social · 01/08/2026
Very excited that @bocconi.bsky.social will host IC2S2 next year in Milan. Stay tuned!!! Thanks to the organizing committee already very active @mtizzoni.bsky.social @duiliobalsamo.bsky.social @lorenzolucchini.bsky.social @deboranozza.bsky.social @Raya Muttarak @BrunoLepri
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Debora Nozza @deboranozza.bsky.social · 07/08/2026
Very happy that #IC2S22027 will be in Milan at Università Bocconi! I’m really looking forward to welcoming the computational social science community to my university and to Milan, and excited to be part of the team organizing it. See you in 2027! 🇮🇹✨
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International Conference on Computational Social Science @ic2s2.bsky.social · 01/08/2026
That's a wrap on IC2S2 2026... we'll see you next year in Milan! 😍
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MilaNLP Lab @milanlp.bsky.social · 30/07/2026
#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...
aclanthology.org
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.
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MilaNLP Lab @milanlp.bsky.social · 30/07/2026
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!
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MilaNLP Lab @milanlp.bsky.social · 27/07/2026
#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...
aclanthology.org
“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.
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MilaNLP Lab @milanlp.bsky.social · 23/07/2026
#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...
aclanthology.org
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.
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MilaNLP Lab @milanlp.bsky.social · 16/07/2026
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
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MilaNLP Lab @milanlp.bsky.social · 13/07/2026
🏆 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
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MilaNLP Lab @milanlp.bsky.social · 13/07/2026
🧠🤖 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
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MilaNLP Lab @milanlp.bsky.social · 13/07/2026
#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...
aclanthology.org
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.
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MilaNLP Lab @milanlp.bsky.social · 10/07/2026
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
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MilaNLP Lab @milanlp.bsky.social · 10/07/2026
@milanlp.bsky.social x #WomeninAI
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Gender Bias in NLP Workshop @genderbiasnlp.bsky.social · 10/07/2026
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
openreview.net
AACL-IJCNLP 2026 Workshop GeBNLP Direct Submission
Welcome to the OpenReview homepage for AACL-IJCNLP 2026 Workshop GeBNLP Direct Submission
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Gender Bias in NLP Workshop @genderbiasnlp.bsky.social · 10/07/2026
🚨 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
gebnlp-workshop.github.io
Call for Papers
The 7th Workshop on Gender Bias in Natural Language Processing at AACL 2026.
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Gender Bias in NLP Workshop @genderbiasnlp.bsky.social · 10/07/2026
📢 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! 🗓️
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MilaNLP Lab @milanlp.bsky.social · 09/07/2026
#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...
aclanthology.org
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…
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MilaNLP Lab @milanlp.bsky.social · 06/07/2026
#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...
aclanthology.org
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.
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MilaNLP Lab @milanlp.bsky.social · 02/07/2026
#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...
aclanthology.org
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.
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MilaNLP Lab @milanlp.bsky.social · 02/07/2026
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
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Debora Nozza @deboranozza.bsky.social · 02/07/2026
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-...
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MilaNLP Lab @milanlp.bsky.social · 29/06/2026
#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...
aclweb.org
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.
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MilaNLP Lab @milanlp.bsky.social · 25/06/2026
#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...
aclanthology.org
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…
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MilaNLP Lab @milanlp.bsky.social · 25/06/2026
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
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MilaNLP Lab @milanlp.bsky.social · 23/06/2026
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
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MilaNLP Lab @milanlp.bsky.social · 22/06/2026
#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...
aclanthology.org
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.
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MilaNLP Lab @milanlp.bsky.social · 18/06/2026
#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
aclanthology.org
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.
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MilaNLP Lab @milanlp.bsky.social · 18/06/2026
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
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MilaNLP Lab @milanlp.bsky.social · 15/06/2026
#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
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MilaNLP Lab @milanlp.bsky.social · 12/06/2026
@taniseceron.bsky.social is presenting her work about political content in pre-training and post-training data at the AI & Society conference. #AIandSociety #NLProc
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MilaNLP Lab @milanlp.bsky.social · 11/06/2026
#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...
aclanthology.org
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.
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MilaNLP Lab @milanlp.bsky.social · 10/06/2026
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
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MilaNLP Lab @milanlp.bsky.social · 08/06/2026
#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.
aclanthology.org
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.
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MilaNLP Lab @milanlp.bsky.social · 04/06/2026
#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:
aclanthology.org
On the Gap between Adoption and Understanding in NLP
Federico Bianchi, Dirk Hovy. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021.
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MilaNLP Lab @milanlp.bsky.social · 04/06/2026
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
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