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Zhou Yang

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#artificial intelligence Review Oct 2026

Runnable Commit Untangling for Coding Agents

Coding agents produce large, tangled patches that mix multiple development purposes, making the code hard to review and maintain. Commit untangling offers the promise of organizing such large patches into untangled, manageable commits. This paper emphasizes two important limitations in existing commit untangling studie...

Jin-Feng Jiang, Dongsun Kim, Da-Yi Lin et al. · 0 citations
Preprint Aug 2026

Lossless Tensor Compression as Program Synthesis

A typed domain-specific language that captures recurring tensor structures, such as repeated regions and floating-point fields, through a set of reversible operators, is designed, which formulates lossless tensor compression as program synthesis.

Jie-Ke Shi, Jun-Da He, Wenjia Jiang et al. · 0 citations
Jul 2026

Neuro-Symbolic Reasoning for Vulnerability Detection

LeanGuard is presented, a neuro-symbolic framework that assigns each act to the side equipped for it, and it is argued that the remedy is not better prompting but a separation of roles: the component that interprets the code must not also be the one that decides a safety obligation is met.

Yanjie Zhao, Hongjie Chen, Li Lu et al. · 0 citations
#reinforcement learning Open access Aug 2026

Learning from the Test: Self-Referential Differential Testing for Deep RL Agents

Delta (Differential Testing for DRL Agents) is proposed, a novel and comprehensive framework that automatically identifies both safety-critical and optimality bugs in DRL agents and investigates the effectiveness of three offline RL algorithms in generating challenger agents.

Jun-Da He, Jie-Ke Shi, Zhou Yang et al. · 0 citations

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