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Home/Authors/Qi Lan

Qi Lan

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2Robotics×1

Frequent co-authors

Yining Tang1×
Yu Shen1×
Yi Zhou1×
Yuhao Wei1×
Jie Li1×
Guofa Li1×

Research Timeline

2026
Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs

The paper introduces Latent Reward Steering (LRS), an adaptive inference-time framework that implicitly improves the reasoning ability of LLMs by guiding the model's internal latent states based on a reward signal derived from final answer correctness.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation

RiskFlow is a novel framework that generates realistic and safety-critical multi-agent traffic scenarios by reformulating trajectory generation as a single-pass transport problem in the action space.

Highlighted terms show continued research focus across papers

Papers

cs.ROcs.AIRecentJun 4, 2026

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation

Qi Lan, Yining Tang, Yu Shen, Yi Zhou +3 more

RiskFlow is a novel framework that generates realistic and safety-critical multi-agent traffic scenarios by reformulating trajectory generation as a single-pass transport problem in the action space.

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cs.AIRecentMay 30, 2026

Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs

Jiakang Li, Guanyu Zhu, Can Jin, Chenxi Huang +7 more

The paper introduces Latent Reward Steering (LRS), an adaptive inference-time framework that implicitly improves the reasoning ability of LLMs by guiding the model's internal latent states based on a…

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