Zhaoxin Yu
1 indexed paper
Recent (6 mo)
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126
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ML×1NLP×1
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2026
GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning
The paper introduces GradCuit, a method for optimizing internal reasoning in large language models at test time by inserting optimizable latent states between hidden representations and enabling direct gradient assignment.
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Papers
cs.LGcs.CLEmpiricalRecentAug 3, 2026
GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning
Zhaoxin Yu, Qi Shen, Hengli Li, Zhaowei Zhang +3 more
The paper introduces GradCuit, a method for optimizing internal reasoning in large language models at test time by inserting optimizable latent states between hidden representations and enabling direc…
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