Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models (opens in new tab)
has been accepted to NeurIPS Conference 2025 (Main Track, A*): Scores: 5,5,4,4,3
has been accepted to NeurIPS Conference 2025 (Main Track, A*): Scores: 5,5,4,4,3
Decision: Rejected from NeurIPS conference 2025 (Main Track, A*)-even with mostly positive reviews (scores: 5 (accept), 5 (accept), 5 (accept), 3 (border-line reject)).
has been accepted to AAAI 2026! (A*)
has been accepted to EMNLP Conference 2025 (Main, Long, A*) (Nominated for the Paper Award)
I'm honored to join the reviewer pool for Nature Human Behavior, a top-tier journal in cognitive and behavioral sciences.
I'm excited to join the organizing committee of AI-ML Systems 2025 as the Demos & Exhibits Co-Chair.
Our latest work on leveraging brain data to improve multilingual capabilities in language models is now available on bioRxiv.
Both of our recent works — one on comparing variance partitioning and the residual method for interpreting brain recordings, and another on inducing bias from bilingual brains into language models — have been accepted as poster presentations at CCN 2025.
Our new preprint explores how instruction-tuned multimodal models can provide insights into functional specialization in the brain.
has been accepted to ACL Findings 2025 (Findings, Long, A*)
has been accepted to ICLR 2025! (Main Track, A*)
has been accepted to ICLR 2025! (Main Track, A*)