💥 New #EMNLP2024 main paper 💥 It’s pretty established by now that the in-context log probability of a word, called surprisal, is predictive of the time the word takes to read. But how important is contextual information, really? Summary below 🧵 arxiv.org/abs/2409.08160

OMG, this is killing me 😂😂😂

Countries Featured in Poland's National Anthem

I’m thrilled to be at EMNLP this week presenting our paper, “The Empirical Variability of Narrative Perceptions of Social Media Texts” I’ll be giving an oral presentation during the CSS + Cultural Analytics Session 2 (Nov 14). Paper: aclanthology.org/2024.emnlp-mai… 🧵(1/12)

We are thrilled to announce the Interspeech 2025 URGENT Challenge, starting on 11/15! Join us in building universal speech enhancement models to tackle in-the-wild speech data using large-scale, multilingual data. Details: urgent-challenge.github.io/urgent2025/

Who wants to come to JHU and do a postdoc with me?? I'm always enthusiastic about new modeling / inference / algorithmic ideas in NLP/ML. Also selected applications.

#EMNLP2024 Best Paper 1/5: An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance

#EMNLP2024 Best Paper 2/5: Towards Robust Speech Representation Learning for Thousands of Languages

Congratulations, William Chen, for the EMNLP Best Paper Award!!! I'm super happy!

Congratulations to Simran Khanuja, Graham Neubig and all of their co-authors on an #EMNLP2024 Best Paper award!

Congratulations to William Chen, Shinji Watanabe and all of their co-authors on an #EMNLP2024 Best Paper award!

🙏 really a lucky cherry on top because working with Kyle itself is an award!

Thank you so much EMNLP 2025 for this wonderful recognition! I’m so honored and humbled 💕 Thanks Graham Neubig for your support throughout! We’ve been working on this for 1.5 years and everyone who has spoken with me in the recent past knows how passionately I feel about this

Congrats William Chen !

This is a really great paper on which we are building a number of other projects and was really deserving of this award. Congratuations, William Chen, Shinji Watanabe🗾🚀, and team!

I am on the industry job market, and am planning to interview around next March. I am attending NeurIPS Conference, and I hope to meet you there if you are hiring! My website: soyeonm.github.io Short bio about me: I am a 5th year PhD student at CMU MLD, working with Russ Salakhutdinov

📢 New paper 📢 What generalization mechanisms shape the language skills of LLMs? Prior work has claimed that LLMs learn language via rules. We revisit the question and find that superficially rule-like behavior of LLMs can be traced to underlying analogical processes. 🧵

LLMs learn to generalize morphological derivation by analogy from exemplars rather than rules (which is probably also true of humans). However, their behavior is different from human morphological behavior in interesting ways. Read our paper to find out how.

if academics are so smart why can't they connect to eduroam?

LLMs often generate incorrect code. Instead, what if they can generate provably correct code? Presenting AlphaVerus: A self-reinforcing method that automatically learns to generate mathematically correct code using inference-time search and verifier feedback. 🧵