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Harbin Institute of Technology
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Sparse supervision in multi-step search tasks leads to instability, but BiCAA's bidirectional credit assignment transforms how agents learn from each reasoning step.
LLM-based judges, widely used for automated evaluation, are riddled with diverse biases that can be significantly reduced through bias-aware training using RL and contrastive learning.