4 citations · 10 across the 18 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2024
Toward Optimal LLM Alignments Using Two-Player Games
Rui Zheng, Hongyi Guo, Zhihan Liu +10
The standard Reinforcement Learning from Human Feedback (RLHF) framework primarily focuses on optimizing the performance of large language models using pre-collected prompts. Howev…
cs.CL2023★ 1 cited
A Principled Framework for Knowledge-enhanced Large Language Model
Saizhuo Wang, Zhihan Liu, Zhaoran Wang +1
Large Language Models (LLMs) are versatile, yet they often falter in tasks requiring deep and reliable reasoning due to issues like hallucinations, limiting their applicability in…