AtManRL: Towards Faithful Reasoning via Differentiable Attention Saliency

ArXi:2604.16158v1 Announce Type: cross Large language models (LLMs) increasingly rely on chain-of-thought (CoT) reasoning to solve complex tasks. Yet ensuring that the reasoning trace both contributes to and faithfully reflects the processes underlying the model's final answer, rather than merely accompanying it, remains challenging. We