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Yun Peng

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#natural language process... Preprint Sep 2026

LoLBench: Evaluating Coding Agents with Long-Horizon Proposals on Large Software Systems

Modern coding agents can deliver increasingly large repository-level changes, and recent benchmarks reflect this by emphasizing long-horizon tasks with large reference implementations. Many benchmarks evaluate coding agents'implementation capability to produce correct code edits from detailed specifications. However, p...

Yun Peng, Zi-Han Wu, Ze-Yang Zhuang et al. · 0 citations
#computer vision Preprint Aug 2026

GEB-Bench: Abstract Structures Told in Many Voices

Evaluating twelve open and proprietary models, it is found that abstraction failure is lawful, and the central finding is a gap between recognition and cross-voice mapping: models identify a structure within one voice far better than they carry it across voices; every model pays this tax, and mapping strong enough to n...

Tong Zhang, Zhiyuan Shi, Yun Peng et al. · 0 citations
Open access Jul 2026

Lightweight Adapted Retrieval-Augmented Inference Network for Legal Issues

Experimental results on CAIL2018 demonstrate that legal-oriented adaptation based on DRAGIN improves retrieval-augmented reasoning in this Chinese legal judgment prediction setting while maintaining low retrieval overhead.

Hongting Qian, Jia-Xin Lin, Jing Tang et al. · 0 citations
Jul 2026

When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-offs

It is found that defenses rarely improve downstream capability, but instead vary in how they trade safety gains against usability and efficiency as well as performance impact, over-refusal on benign inputs, and inference cost.

Tong Zhang, Zexin Li, Si-Min Chen et al. · 0 citations
Review Jul 2026

What Resolve Rate Hides: Trajectory Structure Diagnostics for Coding Agents

TraceProbe is presented, a trajectory-diagnostic framework that recovers what resolve rate hides and adds auditable diagnostic context to outcomes by localizing inspection targets, suggesting failure hypotheses, and prioritizing runs for review.

Rui Shu, C. Chong, Xin Zhou et al. · 1 citation
Preprint Aug 2026

A Unified Issue Resolution Benchmark for Requirement Clarification, Planning, and Code Generation for Coding Agents

SWE-RPG is introduced, a repository-level benchmark that combines executable patch evaluation with validated ground-truth references (GTs) for Requirement Clarification and Implementation Planning, and suggests implicit-requirement recovery as a key candidate direction for improving coding agents.

Xin Zhou, Chun-Yong Chong, Kisub Kim et al. · 0 citations

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