3 papers
cs.AI2026
RPO:Reinforcement Fine-Tuning with Partial Reasoning Optimization
Hongzhu Yi, Xinming Wang, Zhenghao zhang +12
Within the domain of large language models, reinforcement fine-tuning algorithms necessitate the generation of a complete reasoning trajectory beginning from the input query, which…
cs.CL2025
Multi-chain Graph Refinement and Selection for Reliable Reasoning in Large Language Models
Yujiao Yang, Jing Lian, Linhui Li
The complex reasoning ability of Large Language Models (LLMs) poses a critical bottleneck for their practical applications. Test-time expansion methods such as Tree-of-Thought (ToT…
cs.LG2025
Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed Transformer
Yujiao Yang, Jing Lian, Linhui Li
Mixture-of-Experts (MoE) enhances model performance while maintaining computational efficiency, making it well-suited for large-scale applications. Conventional mixture-of-experts…