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cs.AI2026
Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMs
Yue Cheng, Jiajun Zhang, Xiaohui Gao +3
Reinforcement Learning with Verifiable Reward (RLVR) is empirically shown to notably enhance the reasoning performance of large language models (LLMs), particularly in mathematics…
cs.AI2025
AI Idea Bench 2025: AI Research Idea Generation Benchmark
Yansheng Qiu, Haoquan Zhang, Zhaopan Xu +4
Large-scale Language Models (LLMs) have revolutionized human-AI interaction and achieved significant success in the generation of novel ideas. However, current assessments of idea…