1 citations · 6 across the 21 of their papers we have counts for
4 papers · 1 filter
PEAR: Adaptive Advantage Reshaping for Perception and Exploration in Large Vision-Language Models
Junxin Wang, Yingfeng Luo, Xiangchen Song +12
Effective multimodal reasoning requires a model to reliably utilize visual information while sufficiently exploring diverse reasoning paths. To achieve this goal, prior work combin…
LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
Yuchun Fan, Bei Li, Peiguang Li +9
Reinforcement learning has proven effective for enhancing multi-step reasoning in large language models (LLMs), yet its benefits have not fully translated to multilingual contexts.…
DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
Yilin Wang, Yuchun Fan, Jiaoyang Li +5
Retrieval-augmented generation (RAG) systems have made significant progress in solving complex multi-hop question answering (QA) tasks in the English scenario. However, RAG systems…
Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical Reasoning
Yongyu Mu, Jiali Zeng, Fandong Meng +2
Through encouraging self-exploration, reinforcement learning from verifiable rewards (RLVR) has significantly advanced the mathematical reasoning capabilities of large language mod…