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Shi-Qi Yan

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#natural language process... Preprint Sep 2026

ConsensusBench: Benchmark of Consensus Nodes for LLM Reasoning via Outcome Reward Densifying

This work develops a new reinforcement learning signal named ConsensusPR, which directly reduces the reward sparsity of outcome reward across long reasoning trajectories, and introduces ConsensusBench, a novel dataset designed to provide rule-based process-level signals.

Shi-Qi Yan, Chao-Hong Tan, Qian Chen et al. · 0 citations
#small language model Preprint Aug 2026

Short Horizons and Sparse Concepts: a Mathematical View of the Readout in the J-lens

The Jacobian lens (J-lens) has been proposed as a way to read verbalizable representations from language models. However, its principle and meaning lack a detailed and theoretical discussion. We provide a mathematical view of this interpretation and of its assumed causal structure. Besides treating the J-lens as a heur...

Shi-Qi Yan, Kai-Xuan Ding, Chao-Hong Tan et al. · 0 citations

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