most citedSecrets of RLHF in Large Language Models Part II: Reward Modeling

8 citations · 11 across the 3 of their papers we have counts for

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cs.CL2024

TrustLLM: Trustworthiness in Large Language Models

Yue Huang, Lichao Sun, Haoran Wang +67

Large language models (LLMs), exemplified by ChatGPT, have gained considerable attention for their excellent natural language processing capabilities. Nonetheless, these LLMs prese…

cs.CL2023

LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Shihan Dou, Enyu Zhou, Yan Liu +13

Supervised fine-tuning (SFT) is a crucial step for large language models (LLMs), enabling them to align with human instructions and enhance their capabilities in downstream tasks.…