most citedEnsemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2025

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention

Zekai Ye, Qiming Li, Xiaocheng Feng +10

Large Vision-Language Models (LVLMs) have demonstrated impressive multimodal abilities but remain prone to multilingual object hallucination, with a higher likelihood of generating…

cs.CL2024★ 1 cited

Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

Yichong Huang, Xiaocheng Feng, Baohang Li +4

Large language models (LLMs) exhibit complementary strengths in various tasks, motivating the research of LLM ensembling. However, existing work focuses on training an extra reward…