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Lin-Xin Song

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Preprint Oct 2026

FrontierRefactor: Benchmarking Multi-Scale Performance-Oriented Codebase Refactoring

Autonomous codebase refactoring requires coding agents to restructure working software while strictly preserving externally observable behavior and prioritizing execution performance and compute efficiency over stylistic preference. Existing benchmarks: refactoring benchmarks assess functional correctness while overloo...

Shi-Jian Wang, Fan-Qing Meng, Jiajun Chen et al. · 0 citations
#natural language process... Preprint May 2026

T2J-BENCH: Benchmarking Coding Agents on Execution-Grounded PyTorch-to-JAX Repository Migration

T2J-BENCH is introduced, a benchmark of 63 whole-repository PyTorch-to-JAX migration tasks spanning 18 model families across both training and serving, and TWINHARNESS, a reference-grounded agent harness that turns the agent's executable PyTorch source into legitimate self-verification feedback.

Tao Feng, Jie-Feng Chen, Lin-Xin Song et al. · 0 citations
#artificial intelligence Preprint May 2026

When the Strongest Teacher Is Not the Best Teacher: Student-Centric Answer Selection

Student-Centric Answer Sampling (SCAS) is proposed, a framework that selects from verified teacher-generated answers according to their estimated student-centric learning cost and is derived by a token-wise gradient decomposition and used to guide answer selection during training.

Zhengyu Hu, Zheyuan Xiao, Linxin Song et al. · 0 citations

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