Interpretability for LLM Code Generation Wins Award
ZiyuYao · x · 2026-07-13
The author announced they have received the NSF CAREER Award for research on "Towards Scalable and Actionable Interpretability of Language Models for Code Generation".
They explained that this direction combines their PhD research in code generation with interpretability studies started at GMU. The "scalability" and "actionability" frequently discussed in the community will remain their primary focus moving forward. The post also specifically thanked students, collaborators, mentors, and funding agencies, naming several collaborating students working on interpretability, LLMs, LLM agents, and code generation.
Related event: Research on LLM Code Generation Interpretability Wins NSF CAREER Award(2 posts)→
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