Third year CS PhD candidate at Princeton University (@princeton_nlp @PrincetonPLI), previously CS undergrad at IIT Bombay
Princeton, NJ
Joined June 2023
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The most profound paper of my PhD so far. We truly did something special to make LMs play/explain chess, needing both architectural & algorithmic innovation (natural-language analogue of the Alphazero algorithm) + applicable to many other domains. Please read on and share!
1/10
Adithya Bhaskar retweeted
Agents can often fix a mistake by retrying, then forget what they just learned! Next session, same mistake 🥲
Introducing Self-Direction: each failure becomes a small, procedural adapter the agent trains on its own reflection and reuses later 💪🏽
🌐 self-direction.github.io/
🧵1/n
Adithya Bhaskar retweeted
1/ I’m excited to share our work on “Depth as Time in One-Step Generative Models”!
alphaxiv.org/abs/2610.03626
TL;DR: We ask, when a model learns to generate an image in one forward pass, what happens to the denoising process? We observe that process unfolding over depth!
Happening now at Grand Ballroom Poster #133! Stop by!
Adithya Bhaskar retweeted
🚨SciConBench accepted at #NeurIPS2026!
Paper: arxiv.org/abs/2606.11337
Can AI *synthesize* scientific conclusions in health? We find that, on medical conclusions, we are far from it!
Check out our live dashboard: sciconbench.cs.princeton.edu…
w/@hayounggjung and @korolova
Adithya Bhaskar retweeted
Super proud of what the team has achieved @AdithyaNLP @jeff_cheng_77 (they are both great researchers and chess players)
A 4B chess LM that plays chess at typical grandmaster level and explains its moves (!)
I will discuss this work at Berkeley in 30 minutes.
Also, I am around this week at @COLM_conf!
We are both at COLM, come talk to us if you are interested in chess / interpretation of silent experts!
Here is an explanation by that "templatic" model - not so templatic after three rounds of self-improvement after all!
9/10
Huge thanks to my amazing co-author and chess buddy @jeff_cheng_77, and our advisor @danqi_chen! You can find QUEEN & more ablations/analyses at
- Paper: arxiv.org/abs/2610.03695
- Website: queen-project.github.io/
- HF: huggingface.co/papers/2610.0…
10/10
I will present this paper as a poster at COLM 2026 (Grand Ballroom #133, Franciscan, Poster #1199, F-4-133)!
HMU for research/coffee chats or with suggestions for good coffee shops! I've been working on making LLMs learn from non-language data, and I'll have more to say soon.
Adithya Bhaskar retweeted
Students sometimes ask me if it still makes sense, in this accelerating age, to pursue a PhD in AI.
Perhaps counterintuitively, I think it's a great time to do so.
I wrote up some thoughts on this here: web.mit.edu/phillipi/www/wri…
