4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2026
TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models
Jinho Choo, JunSeung Lee, Jimyeong Kim +3
Large language models (LLMs) demonstrate strong multilingual capabilities, yet often fail to consistently generate responses in the intended language, exhibiting a phenomenon known…
cs.LG2023★ 4 cited
Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment
Tianhao Wu, Banghua Zhu, Ruoyu Zhang +3
Large Language Models (LLMs) can acquire extensive world knowledge through pre-training on large corpora. However, due to exposure to low-quality data, LLMs may exhibit harmful beh…