TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards
Reinforcement learning with verifiable rewards (RLVR) has advanced language-model reasoning in domains such as mathematics and code, where objective answers are inexpensive to check. Diagnostic reasoning over complex data lacks this advantage: establishing the true cause of an anomaly often requires costly expert inves...
Rui Sun, Zhan Shi, B. He
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