Who's Who of AI

MilaNLP Lab

78 trust researcher @milanlp.bsky.social · 498 followers
NLP & language AI research
Why they matter

Researcher with public evidence across NLP & language, AI research.

AI signals
19
past 30d
Sources
6
distinct domains
Discussions
0
past 30d
Latest signal
1d ago
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The Milan Natural Language Processing Group #NLProc #AI milanlproc.github.io
What they're sharing

Articles & links

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

State media control influences large language models | Nature nature.com
AI Weekly's analysis →
  • Chinese state-media content appears in typical LLM training sets at roughly 41 times the rate of Chinese-language Wikipedia.
  • Across 37 countries, models prompted in the local language produce more regime-favorable responses in countries with lower press freedom.
  • A pretraining experiment with just 6,400 state-scripted documents pushed an open-weight model to pro-government responses nearly 80 percent of the time.
Read full analysis →
View on Bluesky · ♥ 6 ↻ 3 ↩ 0 · 10 from the directory shared this · 134d ago

#TBT #NLProc 'Classist Tools: Social Class Correlates with Performance in NLP' by Curry et al. (2024) finds NLP tools perform worse on lower-SES speech - higher perplexity, more ASR errors, dialect flagged as "wrong" by grammar checkers. arxiv.org/pdf/2403.04445

arxiv.org
View on Bluesky · ♥ 3 ↻ 2 ↩ 0 · 3 from the directory shared this · 29d ago

#MemoryModay #NLProc Countering Hateful and Offensive Speech Online - Open Challenges" (Flor Miriam Plaza-Del-Arco, @deboranozza.bsky.social, et al. 2024) presented a tutorial on the challenges and solutions for detecting and mitigating hate speech online. aclanthology.org/202…

Countering Hateful and Offensive Speech Online - Open Challenges aclanthology.org
AI Weekly's analysis →
  • The EMNLP 2024 tutorial in Miami, by five researchers, treats online hate-speech moderation as a set of open challenges, not a solved product.
  • Topics include multilingualism, counter-narrative generation, a hands-on session with a popular hate-speech detection API, and fairness and ethics in AI.
  • The abstract names no specific API, no detector numbers, and frames safer online spaces as a collaboration goal rather than a shipped technology.
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View on Bluesky · ♥ 4 ↻ 3 ↩ 0 · 2 from the directory shared this · 32d ago

#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/pdf/2003.02912

arxiv.org
View on Bluesky · ♥ 2 ↻ 1 ↩ 0 · 2 from the directory shared this · 1d ago

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

[2603.03308] Old Habits Die Hard: How Conversational History Geometrically Traps LLMs arxiv.org
AI Weekly's analysis →
  • A new arXiv paper introduces History-Echoes, a framework showing conversation history biases what large language models generate next.
  • Across three model families and six datasets, the authors find gaps in latent space form a 'geometric trap' confining a model's response trajectory.
  • The work suggests hallucinations from earlier turns can influence later responses, implying an early mistake tends to persist inside a session.
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View on Bluesky · ♥ 11 ↻ 5 ↩ 0 · 2 from the directory shared this · 113d ago

#MemoryMonday #NLProc 'Comparing Bayesian Models of Annotation' by Paun et al. dives into corpus annotation, evaluating six models' predictiveness and accuracy. Essential for navigating annotators and item difficulties. aclanthology.org/Q18-1040

Comparing Bayesian Models of Annotation aclanthology.org
View on Bluesky · ♥ 6 ↻ 2 ↩ 0 · 2 from the directory shared this · 11d ago

For this week reading group, @arimuti.bsky.social presented "Ownership in AI-Assisted Everyday Tasks" by Megan Wei et al. (2026) Paper: arxiv.org/abs/2609.20658 #NLProc

Ownership in AI-Assisted Everyday Tasks arxiv.org
AI Weekly's analysis →
  • In a qualitative survey, 42% of respondents said they could 'definitely' have done high-ownership tasks without AI, versus 63% for low-ownership tasks.
  • Researchers at Brown, Carnegie Mellon, Berkeley and the Artificiality Institute surveyed 64 participants, with 52 complete responses, on two recent AI-assisted tasks each.
  • Loss of personal voice and lack of comprehension both erode felt ownership; willingness to disclose AI use is decoupled from pride and shaped by community norms.
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View on Bluesky · ♥ 6 ↻ 2 ↩ 0 · 2 from the directory shared this · 21d ago

#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...

Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter aclanthology.org
AI Weekly's analysis →
  • An EMNLP 2024 paper extends manifesto-based party-position modeling to Twitter, using hashtags as a fine-tuning signal in place of hand-labeled data.
  • The authors report that the resulting party positionings are stable and consistent with those derived from official manifestos.
  • The method holds up in low-resource settings, working when only smaller subsets from shorter time periods are available.
Read full analysis →
View on Bluesky · ♥ 3 ↻ 3 ↩ 0 · 2 from the directory shared this · 21d ago
Their own posts

Recent commentary

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

View on Bluesky · ♥ 17 ↻ 5 ↩ 0 · 147d ago

🎉 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

View on Bluesky · ♥ 11 ↻ 5 ↩ 0 · 156d ago

👋 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!

View on Bluesky · ♥ 12 ↻ 3 ↩ 0 · 46d ago

🌶️ @dirkhovy.bsky.social from our @milanlp.bsky.social lab will be joining today's #EMNLP2026 plenary panel on "New Missions in NLP Research"! Don't miss it! 🕝 14:30 📍 P1-3

View on Bluesky · ♥ 7 ↻ 4 ↩ 0 · 12d ago

🧠🤖 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

View on Bluesky · ♥ 9 ↻ 3 ↩ 0 · 116d ago

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

View on Bluesky · ♥ 9 ↻ 3 ↩ 0 · 158d ago

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

View on Bluesky · ♥ 7 ↻ 3 ↩ 0 · 136d ago

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

View on Bluesky · ♥ 8 ↻ 2 ↩ 0 · 38d ago

We're excited to welcome Tamara Quiroga as a visiting PhD researcher from Chile! She will be exploring how gender-inclusive language shapes gender representation in stories generated by large language models. #NLProc #genderbias

View on Bluesky · ♥ 4 ↻ 2 ↩ 0 · 16d ago

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

View on Bluesky · ♥ 6 ↻ 1 ↩ 0 · 149d ago
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