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cs.AI2026
Robust Code RL via Faulty-Code-Driven Test case Synthesis and Dense Reward Shaping
Yiwen Zhang, Xiaodong Yan, Zhenyu Huang +6
Reinforcement Learning from Verifiable Rewards (RLVR) is pivotal for enhancing LLM code generation, yet its efficacy is often hindered by insufficient test case coverage, leading t…
cs.AI2025
SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning
Xiong Jun Wu, Zhenduo Zhang, ZuJie Wen +11
Training large reasoning models (LRMs) with reinforcement learning in STEM domains is hindered by the scarcity of high-quality, diverse, and verifiable problem sets. Existing synth…