| Jan 22, 2025 | I’m thrilled to see our publication on ACL 2024 “Learn from failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving” is featured by Neptunes News Agency! News link. |
| Jan 22, 2025 | I’m thrilled to share that our paper, “Correlation and Navigation in the Vocabulary Key Representation Space of Language Models”, has been accepted to the International Conference on Learning Representations (ICLR)! This work studies spurious correlation existing in the vocabulary key space of LLMs, and proposes a novel in-context learning method (called In-Context Navigation) to sample high quality results from the key space of the LLMs that otherwise cannot be obtained through the usual top-k inference. |
| Oct 01, 2024 | I’m excited to share that I will be joining Scale AI as an AI Consultant, working on fine-tuning LLMs for real-world applications. |
| Jun 04, 2024 | I’m excited to share that I will be joining Microsoft as a research intern in ML and Generative AI in the summer of 2024 in Redmond, Seattle. |
| Jun 01, 2024 | I’m thrilled to share that our paper, “Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving”, has been accepted to the main conference at Association for Computational Linguistics (ACL) 2024! This work studies the usefulness of the trial-and-error information by fine-tuning the LLMs with it in order to help the models perform reasoning in logic deduction problems. |