Papers by Lihao Sun

2 papers
LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals (2026.acl-long)

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Challenge: Existing models generate tokens by updating high-dimensional representations and decoding from them at each timestep.
Approach: They propose a framework that allows reasoning correction and length control based on derived ideal trajectories.
Outcome: The proposed model can predict correctness and length control based on ideal trajectories.
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race (2025.acl-long)

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Challenge: et al., 2012) show value-aligned language models exhibit stereotypes in word association tasks . ignoring racial nuances can perpetuate subtle biases in LMs .
Approach: They propose a bias mitigation strategy that incentivizes representation of racial concepts in early model layers.
Outcome: The proposed approach incentivizes representation of racial concepts in early model layers . it reduces implicit bias by reducing the number of ambiguous inputs, the authors show .

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