PhD student at @HuthLab. Interested in language, computers, and the brain. No thoughts about memes.

Joined June 2021
Photos and videos
Aditya Vaidya retweeted
Excited to present our work on bilingual brain-informed fine-tuning at #NeurIPS2025 🎉 neurips.cc/virtual/2025/loc/… We fine-tune monolingual and multilingual language models using fMRI data from bilingual participants as they read naturalistic stories in English and Chinese.
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Aditya Vaidya retweeted
We’re excited about our first paper looking at speech encoding in single neurons across the depth of human cortex. Out today in @nature! nature.com/articles/s41586-0… [1/6]

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If you're at CoNLL / EMNLP check out our poster in the afternoon! Code and data are also now available here: github.com/HuthLab/lm-repeat…
At CoNLL poster session 1 today: @_avaidya arxiv.org/abs/2310.06408 LM and human next-word predictions are correlated, but not when text repeats! This points to divergence btwn memory mechanisms, which we localize in the model and then modify to get more human-like behavior
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If you're still around at #SfN2023, come by my poster in the afternoon!
At the final SfN poster session @_avaidya will present some new work he’s doing w/ me & @LibertySays. It sounds a little nuts, but we’re using in silico experiments on fMRI models to replicate effects that really should only work in ECoG. Poster DD15 Wed PM.
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*Today* at ICML, I'll be presenting our work on predicting brain data with self-supervised speech models. Drop by the poster or spotlight talk if you're interested, or just want to chat!
New paper from @_avaidya & @shaileeejain just accepted at ICML: Self-supervised models of audio effectively explain human cortical responses to speech arxiv.org/abs/2205.14252
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The poster is in Hall E #236 from 6:30pm-7:30!
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Aditya Vaidya retweeted
If you’ve ever tried to accurately reconstruct hand pose while someone is holding an object from RGBD video, you know it’s kinda bad, right? Well, we (@akarshkumar0101 & @_avaidya) have make it work a bit better! arxiv.org/abs/2105.08196 (accepted @ CVPR EPIC Workshop)

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