3 citations · 8 across the 7 of their papers we have counts for
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cs.CL2024
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback
Eunseop Yoon, Hee Suk Yoon, SooHwan Eom +7
Reinforcement Learning from Human Feedback (RLHF) leverages human preference data to train language models to align more closely with human essence. These human preference data, ho…
cs.LG2024★ 3 cited
Binary Classifier Optimization for Large Language Model Alignment
Seungjae Jung, Gunsoo Han, Daniel Wontae Nam +1
In real-world services such as ChatGPT, aligning models based on user feedback is crucial for improving model performance. However, due to the simplicity and convenience of providi…