52 citations · 60 across the 17 of their papers we have counts for
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cs.LG2024
Adaptive Segment-level Reward: Bridging the Gap Between Action and Reward Space in Alignment
Yanshi Li, Shaopan Xiong, Gengru Chen +6
Reinforcement Learning (RL) has proven highly effective in aligning Large Language Models (LLMs) with human preferences. Typical RL methods optimize under an overall sequence rewar…
cs.LG2024
Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields
Yixin Jin, Wenjing Zhou, Meiqi Wang +3
This paper examines an online multi-task learning (OMTL) method, which processes data sequentially to predict labels across related tasks. The framework learns task weights and the…