11 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 11 cited
Reward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework
Yongxin Deng, Xihe Qiu, Jue Chen +1
The inherent uncertainty in the environmental transition model of Reinforcement Learning (RL) necessitates a delicate balance between exploration and exploitation. This balance is…
cs.CL2024★ 2 cited
BTBR: A Bayesian-Theory-Driven Probabilistic-Fuzzy Framework for Implicit Bias Removal in Large Language Models
Yongxin Deng, Xihe Qiu, Xiaoyu Tan +8
Large language models (LLMs) may encode biased associations from heterogeneous training corpora that are not immediately visible under ordinary prompting, but can surface when the…