most citedAccelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

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cs.CL2024

A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning

Lijie Hu, Liang Liu, Shu Yang +6

Chain-of-Thought (CoT) holds a significant place in augmenting the reasoning performance for large language models (LLMs). While some studies focus on improving CoT accuracy throug…

cs.CL2024

Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs

Shu Yang, Jiayuan Su, Han Jiang +5

With the rise of large language models (LLMs), ensuring they embody the principles of being helpful, honest, and harmless (3H), known as Human Alignment, becomes crucial. While exi…