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Reposted by Niranjan

Jaemin Cho @jmincho.bsky.social · May 20

Some personal updates:
- I've completed my PhD at @unccs.bsky.social! 🎓
- Starting Fall 2026, I'll be joining the CS dept. at Johns Hopkins University @jhucompsci.bsky.social as an Assistant Professor 💙
- Currently exploring options for my gap year (Aug 2025 - Jul 2026), so feel free to reach out! 🔎

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Pegah پگاه @itspegah.bsky.social · May 16

Our paper "Misattribution Matters: Quantifying Unfairness in Authorship Attribution" got accepted to #ACL2025!
@niranjanb.bsky.social @ajayp95.bsky.social

Arxiv link coming hopefully soon!

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Mohit Bansal @mohitbansal.bsky.social · May 5

🔥 BIG CONGRATS to Elias (and UT Austin)! Really proud of you -- it has been a complete pleasure to work with Elias and see him grow into a strong PI on *all* axes 🤗

Make sure to apply for your PhD with him -- he is an amazing advisor and person! 💙

Elias Stengel-Eskin @esteng.bsky.social · May 5

Extremely excited to announce that I will be joining
@utaustin.bsky.social Computer Science in August 2025 as an Assistant Professor! 🎉

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Niranjan @niranjanb.bsky.social · May 6

Congratulations Elias (and to UT Austin too).

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Ahmad Beirami @abeirami.bsky.social · May 3

If you are at #AISTATS2025 and are interested in concept erasure, talk to @somnathbrc.bsky.social at Poster Session 1 on Saturday May 3.

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Lisa Alazraki @lisaalaz.bsky.social · Apr 30

I’ll be presenting Meta-Reasoning Improves Tool Use in Large Language Models at #NAACL25 tomorrow Thursday May 1st from 2 until 3.30pm in Hall 3! Come check it out and have a friendly chat if you’re interested in LLM reasoning and tools 🙂 #NAACL

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Kaitlyn Zhou @ COLM @kaitlynzhou.bsky.social · Apr 29

Thrilled that our paper won 🏆 Best Paper Runner-Up 🏆 at #NAACL25!!

Our work (REL-A.I.) introduces an evaluation framework that measures human reliance on LLMs and reveals how contextual features like anthropomorphism, subject, and user history can significantly influence user reliance behaviors.

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Niranjan @niranjanb.bsky.social · Apr 29

advisorial advertising? advisor's advertising? 🤔

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Nishant Subramani @ ACL @nsubramani23.bsky.social · Apr 29

🚀 Excited to share a new interp+agents paper: 🐭🐱 MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools appearing at #NAACL2025

This was work done @msftresearch.bsky.social last summer with Jason Eisner, Justin Svegliato, Ben Van Durme, Yu Su, and Sam Thomson

1/🧵

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Niranjan @niranjanb.bsky.social · Apr 29

I'll do the advisory advertising: @ykl7.bsky.social‬ is a fantastic researcher and is passionate about being in academia. He has this amazing ability to simply get things done! Happy to say more in a letter or over a chat but if you are going to @naaclmeeting.bsky.social (#NAACL2025) ping him.

Yash Kumar Lal ✈️ #NAACL2025 @ykl7.bsky.social · Apr 29

I'm headed to #NAACL2025 ✈️ in Albuquerque 🏜️Looking for postdoc positions in the US, so if you're hiring (or know someone who is), let's chat at the conference! Also organizing #WNU2025 so make sure to swing by the workshop on May 4

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Niranjan @niranjanb.bsky.social · Apr 28

Nice work Abhilasha!

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Abhilasha Ravichander @lasha.bsky.social · Jan 31

We are launching HALoGEN💡, a way to systematically study *when* and *why* LLMs still hallucinate.

New work w/ Shrusti Ghela*, David Wadden, and Yejin Choi 💫

📝 Paper: arxiv.org/abs/2501.08292
🚀 Code/Data: github.com/AbhilashaRav...
🌐 Website: halogen-hallucinations.github.io 🧵 [1/n]

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NAACL @naaclmeeting.bsky.social · Apr 25

🟢 Announcing the #NAACL2025 Award Winners!

The Best Paper and Best Theme Paper winners will present at our closing session

2025.naacl.org/blog/best-pa...

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Archiki Prasad @archiki.bsky.social · Apr 18

🚨Real-world retrieval is messy: queries are ambiguous or docs conflict & have incorrect/irrelevant info. How can we jointly address these problems?

➡️RAMDocs: challenging dataset w/ ambiguity, misinformation & noise
➡️MADAM-RAG: multi-agent framework, debates & aggregates evidence across sources

🧵⬇️

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Greg Durrett @gregdnlp.bsky.social · Apr 16

Check out @juand-r.bsky.social and @wenxuand.bsky.social 's work on improving generator-validator gaps in LLMs! I really like the formulation of the G-V gap we present, and I was pleasantly surprised by how well the ranking-based training closed the gap. Looking forward to following up in this area!

Juan Diego Rodriguez (@ COLM 2025) @juand-r.bsky.social · Apr 16

One of the ways that LLMs can be inconsistent is the "generator-validator gap," where LLMs deem their own answers incorrect.

🎯 We demonstrate that ranking-based discriminator training can significantly reduce this gap, and improvements on one task often generalize to others!

🧵👇

A visualization of the generator-validator gap, where the LM likelihoods of for the generator and discriminator forms of questions are poorly correlated.

Aligning the validator and generator rankings can fix it!

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Ai2 @ai2.bsky.social · Apr 9

For years it’s been an open question — how much is a language model learning and synthesizing information, and how much is it just memorizing and reciting?

Introducing OLMoTrace, a new feature in the Ai2 Playground that begins to shed some light. 🔦

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Pasquale Minervini @neuralnoise.com · Mar 13

Please share it within your circles! edin.ac/3DDQK1o

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Conference on Language Modeling @colmweb.org · Mar 10

Excited to announce the COLM 2025 keynote speakers: Shirley Ho, Nicholas Carlini, @lukezettlemoyer.bsky.social, and Tom Griffiths!

See you in October in Montreal!

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Niranjan @niranjanb.bsky.social · Dec 9

Working on it. Stay tuned.

Niranjan @niranjanb.bsky.social · Dec 9

Thanks @mohitbansal.bsky.social for the wonderful Distinguished Lecture on agents and multimodal generation. This got so many of us here at Stony Brook excited for the potential in these areas. Also, thanks for spending time with our students & sharing your wisdom. It was a pleasure hosting you!

Niranjan @niranjanb.bsky.social · Dec 3

Excited to host the wonderful @mohitbansal.bsky.social as part of Stony Brook CS Distinguished Lecture Series on Dec 6th. Looking forward to hearing about his team's fantastic work on Planning Agents for Collaborative Reasoning and Multimodal Generation. More here: tinyurl.com/jkmex3e9

A flyer announcing that Professor Mohit Bansal from the University of North Carolina Chapel Hill will present a Distinguished Lecture on Planning Agents for Collaborative Reasoning and Multimodal Generation at 2:30 PM in the New Computer Science Room 120 on Dec 6th 2024. The flyer also has a head shot of Mohit Bansal.

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Niranjan @niranjanb.bsky.social · Dec 3

Excited to host the wonderful @mohitbansal.bsky.social as part of Stony Brook CS Distinguished Lecture Series on Dec 6th. Looking forward to hearing about his team's fantastic work on Planning Agents for Collaborative Reasoning and Multimodal Generation. More here: tinyurl.com/jkmex3e9

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Niranjan @niranjanb.bsky.social · Nov 27

Hmmm. Fair. I feel like some record somewhere of my tardiness in submitting reviews will prod me to do better.

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Marc Marone @marcmarone.com · Nov 23

I noticed a lot of starter packs skewed towards faculty/industry, so I made one of just NLP & ML students: go.bsky.app/vju2ux

Students do different research, go on the job market, and recruit other students. Ping me and I'll add you!

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Niranjan @niranjanb.bsky.social · Nov 25

Have you thoughts about deanon post discussion phase? That is, denon after the deed is done. This way it doesnt influence your thinking but keeps you accountable.

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Catherine Arnett @ 🍁COLM🍁 @catherinearnett.bsky.social · Nov 22

✨New pre-print!✨ Successful language technologies should work for a wide variety of languages. But some languages have systematically worse performance than others. In this paper we ask whether performance differences are due to morphological typology. Spoiler: I don’t think so! #NLP #linguistics

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