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Shanghai Jiao Tong University
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FlowTracer reveals that optimizing token-level rewards based on attention-induced information flow can dramatically enhance reasoning performance in LLMs.
NITP achieves a remarkable 5.7% performance boost on MMLU-Pro by transforming how LLMs are trained, moving beyond sparse supervision to dense semantic predictions.
