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MilaNLP Lab @milanlp.bsky.social · 10/09/2026

Reposted by Dirk Hovy

#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 · 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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MilaNLP Lab @milanlp.bsky.social · 21/09/2026

Reposted by Dirk Hovy

#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...

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.

Arianna Muti @arimuti.bsky.social · 22/09/2026

Reposted by Dirk Hovy

Our TACL paper "Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology" is finally out, only six months after acceptance! 😅🎉 direct.mit.edu/tacl/article...

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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...

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.

Dirk Hovy @dirkhovy.bsky.social · 23/09/2026

Just arrived in lovely León. Tomorrow I’ll give a keynote at SEPLN, the Spanish Society for Natural Language Processing, on some of the most interesting problems ahead for NLP. But first: architecture and tapas! sepln2026.org/cuadro-de-po...

sepln2026.org

Ponentes principales – XLII Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural – SEPLN 2026

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Joachim Baumann @joachimbaumann.bsky.social · 04/09/2026

After Science News, our recent ICML paper also got featured in @science.org! Article: www.science.org/content/arti... Paper: arxiv.org/pdf/2605.03202 @dirkhovy.bsky.social @sanmikoyejo.bsky.social #science #PeerReview #research

Screenshot of an article in Science Magazine on the opportunities and risks of AI used for peer review featuring an ICML conference paper by Joachim Baumann et al., 2026.

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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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EACL 2027 @eaclmeeting.bsky.social · 04/08/2026

4134 submissions have been submitted to the ARR August cycle, a 14% increase compared to the ARR October 2025 cycle corresponding to EACL🔥. #EACL2027 in Athens is likely to be the biggest EACL ever 👀 #NLProc @aclrollingreview.bsky.social

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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...

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.

MilaNLP Lab @milanlp.bsky.social · 13/07/2026

Reposted by Dirk Hovy

#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.

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Dallas Card @dallascard.bsky.social · 15/07/2026

Text as Data has been a wonderful, long-running, non-archival workshop for empirical research at the intersection of AI and social science (especially work involving text). After a few years off, it will be happening again this year as a one-day event in early October!

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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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Reposted by Dirk Hovy

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...

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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Reposted by Dirk Hovy

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 · 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...

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.

Joachim Baumann @joachimbaumann.bsky.social · 10/07/2026

Reposted by Dirk Hovy

Thank you, @punarpuli.bsky.social, for a great article! Find our paper and more insights from Jiaxin Pei, Sanmi Koyejo, @dirkhovy.bsky.social, and me in this thread👇 bsky.app/profile/joac...

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Dirk Hovy @dirkhovy.bsky.social · 11/07/2026

Could not be prouder of @zeerak.bsky.social for this accomplishment: from first paper ever (based on an MSc thesis) to 10-year ToT award. We could not have anticipated the lasting impact of this paper, but it's a great honor – and a wonderful story for any student/advisor team (see Zee's thread).

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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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Reposted by Dirk Hovy

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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Dirk Hovy @dirkhovy.bsky.social · 12/06/2026

On the heels of a fantastic Dagstuhl seminar on Social Intelligence in AI (thx, @jennhu.bsky.social, @maartensap.bsky.social, @tomerullman.bsky.social, & Lucie Flek), a callback to how we thought about this 5 years ago.

MilaNLP Lab @milanlp.bsky.social · 07/05/2026

Reposted by Dirk Hovy

#TBT #NLProc 'Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview' by Shah, Schwartz, Dirk Hovy (2020). Dive into their mathematical NLP bias framework, its origins, impacts, and types. #AIEthics aclanthology.org/2020.acl-mai...

MilaNLP Lab @milanlp.bsky.social · 18/05/2026

Reposted by Dirk Hovy

#MemoryModay #NLProc 'We will Reduce Taxes' - Identifying Election Pledges with Language Models' by Fornaciari et al. makes election promise tracking effortless with neural models.

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EACL 2027 @eaclmeeting.bsky.social · 06/05/2026

📢⚠️ IMPORTANT DATE CORRECTION: the ARR deadline for EACL 2027 is Aug 3, 2026 (not Aug 6 as previously announced). EACL is earlier than usual in '27, so this is the only viable ARR cycle! 📚 All areas of CL/NLP + related fields welcome. Full CfP coming soon. #NLProc #EACL2027

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Reposted by Dirk Hovy

Joachim Baumann @joachimbaumann.bsky.social · 01/05/2026

Can you boost your AI review scores by asking an LLM to rewrite your paper? Yes! We call it paper laundering Our @icmlconf.bsky.social spotlight paper argues current AI reviewers aren't ready to automate peer review, and outlines what a science of peer review automation should look like 🧵👇 #ICML2026

First page of the ICML 2026 spotlight paper "Stop Automating Peer Review Without Rigorous Evaluation" by Joachim Baumann, Jiaxin Pei, Sanmi Koyejo, and Dirk Hovy (Stanford University and Bocconi University). The abstract argues that today's AI systems should not be used to produce paper reviews, grounded in two empirical findings: a "hivemind effect" where AI reviewers show excessive agreement and reduce perspective diversity, and "paper laundering," where prompting an LLM to rewrite a paper trivially increases AI reviewer scores through stylistic changes rather than scientific improvements. The paper calls for a science of peer review automation rather than wholesale deployment of general-purpose LLMs.

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ACL Rolling Review (ARR) @aclrollingreview.bsky.social · 16/04/2026

🗓️ The ARR March review deadline is approaching: April 20 AoE. Finishing up your review? Run it through REVAS, a peer review assistant that makes your suggestions more actionable, flags unsupported claims, and grounds your feedback in the paper. 👉 revas.mbzuai.ac.ae

revas.mbzuai.ac.ae

REVAS — AI-Powered Peer Review Feedback for Academics

REVAS analyzes the weakness section of your peer review, scoring each paragraph on actionability, helpfulness, grounding, and verifiability.

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Reposted by Dirk Hovy

MilaNLP Lab @milanlp.bsky.social · 06/04/2026

#MemoryModay #NLProc Uma et al. (2020) highlights 'A Case for Soft Loss Functions' efficacy using soft labels & crowd annotations in AI tasks, outshining top-tier methods.

ojs.aaai.org

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Reposted by Dirk Hovy

nlpandcss.bsky.social @nlpandcss.bsky.social · 06/04/2026

To accommodate ACL decisions, we are further extending the commitment deadline for pre-reviewed ARR submissions to April 7!

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Reposted by Dirk Hovy

ACL 2027 @aclmeeting.bsky.social · 06/04/2026

The paper acceptance notifications will be out by the 6th of April, AoE. The PCs are working hard throughout the holiday season to finalize the decisions. Apologies for the delay!

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David Lazer @davidlazer.bsky.social · 06/04/2026

The deadline for submission to the Political Networks conference is this Friday. It's taking place Aug 4-7, in Manchester. sites.google.com/view/confpol...

sites.google.com

2026 Manchester

Application and registration

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Reposted by Dirk Hovy

MilaNLP Lab @milanlp.bsky.social · 02/04/2026

#TBT #NLProc '[MASK]? Making Sense of Language-Specific BERT Models' by @deboranozza.bsky.social, Bianchi & @dirkhovy.bsky.social (2020), explores language-specific vs universal BERT models.

arxiv.org

Dirk Hovy @dirkhovy.bsky.social · 31/03/2026

I realized how much DMing is like being a professor/chairing a committee. You: - make a brilliant plan for 2+ hours of fun - prep lots of material - immediately get derailed by questions/arguments/etc. - keep it together to make the most of the time together - end up not using most of the material

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MilaNLP Lab @milanlp.bsky.social · 30/03/2026

#MemoryModay #NLProc 'Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers,' by Nguyen & @dirkhovy.bsky.social decodes speaker reviews for user preferences using topic models. Domain knowledge needed for market analysis.

Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers

Hanh Nguyen, Dirk Hovy. Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019). 2019.

Alexander Hoyle @alexanderhoyle.bsky.social · 26/03/2026

Reposted by Dirk Hovy

I wrote a blog post on my experience using AI for slide generation Basic idea: write your lecture notes first, then prompt the LLM to produce corresponding slides in reveal.js (h/t @chenhaotan.bsky.social). I'm picky about my slides but was happy with the results! alexanderhoyle.com/posts/ai-sli...

A slide showing that the posterior is proportional to the likelihood times the prior

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MilaNLP Lab @milanlp.bsky.social · 26/03/2026

#TBT #NLProc Fornaciari, @dirkhovy.bsky.social's 'Identifying Linguistic Areas for Geolocation' explores using social media writing for geolocation via Point-to-City (P2C).