It was a pleasure to host @marcostranisci.bsky.social and hear about his newly awarded Marie Curie project “DISHARM” - inspiring work and a great discussion!
#NLProc
Welcome @esradonmez.bsky.social!
We’re excited to have her with us over the next few months, where she’ll be working on pluralistic alignment.
🎉 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
MilaNLP Lab
MilaNLP Lab
MilaNLP Lab
MilaNLP Lab
Heads up, #NLProc community!
The 7th GeBNLP workshop is heading to AACL! 🌏 (and it'll be remote-friendly! 💻)
While we’re still finalizing the details, we're putting this on your radar! 🚨
✨ Start brainstorming those submissions now and stay tuned for the updates!
#GeBNLP #AACL2026
🍃2nd Call for Papers!😊 EMNLP 2026 Workshop on Multimodal Interaction in Face-to-Face Dialogue (MINT) welcomes work on multimodal communication, speech, gesture, gaze, facial expressions, datasets, eval methods, and applications! @emnlpmeeting.bsky.social mintworkshop.github.io
In our paper, we show that conversation topics are the main predictors of LLM-generated high-stakes advice within a conversational context and can act as proxies for sociodemographics. We also demonstrate that LLMs actually struggle to infer user sociodemographics from a conversation history.
