3 papers
cs.LG2026
Exploring Pass-Rate Reward in Reinforcement Learning for Code Generation
Xin-Ye Li, Ren-Biao Liu, Yun-Ji Zhang +3
Reinforcement learning (RL) from unit-test feedback has become a standard post-training recipe for improving large language models (LLMs) on code generation. However, the pass-all-…
cs.CL2026
CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
Hao Yang, Zhiyu Yang, Xupeng Zhang +3
Retrieval-augmented generation (RAG) has become a key paradigm for knowledge-intensive question answering. However, existing multi-hop RAG systems remain inefficient, as they alter…
cs.CL2025
Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors
Hao Yang, Zhiyu Yang, Yunjie Zhang +2
Chain-of-Thought reasoning has emerged as a pivotal methodology for enhancing model inference capabilities. Despite growing interest in Chain-of-Thought reasoning, its underlying m…