Yekun Chai

Contact:
chaiyekun (at) gmail.com
I am a staff researcher at Baidu NLP, on the ERNIE team.
I work on pre-training, post-training, and reasoning research. My research endeavors revolve around natural language processing and beyond, specifically on efficient scaling paradigms and RL methods.
Core developer of Baidu ERNIE series, driving the launch of ERNIE-Bot (文心一言) and Baidu Comate (文心快码). My research background includes RL/NLP work at Institute of Automation, Chinese Academy of Sciences and NLP training at Edinburgh Informatics under the supervision of Adam Lopez and Naomi Saphra.
news
May 16, 2025 |
One paper on curiosity-driven RLHF has been accepted to ACL 2025 ![]() |
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Jan 23, 2025 |
One paper on macro action RLHF has been accepted to ICLR 2025![]() ![]() |
Sep 21, 2024 |
Our papers on PixelGPT, GPTfluence, and TKEval have been accepted to EMNLP 2024 & Findings. ![]() |
May 02, 2024 |
One paper on GiLOT, an XAI approach for LLMs, has been accepted to ICML 2024. ![]() |
Feb 20, 2024 | One paper on HumanEval-XL, a multilingual code generation benchmark has been accepted to LREC-COLING 2024. We’ve released the code and data. |