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Zhichao Hu

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Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios?

RuVerBench is introduced, the first benchmark for assessing LaaJ reliability in rubric verification for agentic scenarios, and the impact of key LaaJ strategies, including prompt design, batching, and majority voting, on rubric verification is analyzed.

Yangda Peng, Yunjia Qi, Hao Peng et al. · 2 citations
Preprint Aug 2026

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists

This work introduces RepoProbe, a novel benchmark for evaluating repository-level code understanding through open-ended Q&A using GitHub Discussions, which focuses on open-ended architectural inquiries rather than defect reporting and proposes a Checklist-Based Verification Protocol that decomposes answers into atomic,...

Yue Yang, Alyssa Wu, Ji Luo et al. · 1 citation
Preprint Aug 2026

Skill-Use: Can LLMs Actually Use Skills in Agentic Harnesses?

Skill-Use is introduced, a benchmark that evaluates skill use under progressive disclosure, where an agent sees only a skill's name and short description and must retrieve the full procedure before following it.

Jinyi Han, Yuanjian Xu, Ying Liao et al. · 4 citations · ⚡2
Aug 2026

Quantitative diagnosis of internal short circuits in lithium-ion batteries based on terminal voltage during the charging stage

Internal short-circuit (ISC) faults in lithium-ion batteries shorten service life and may cause severe safety issues such as thermal runaway. Therefore, this study proposes a purely data-driven method based on terminal voltage during charging. The analysis focuses on the stable mid-to-late stage of low-rate constant-cu...

S. Duan, Yizhen Qu, Ye Liu et al. · 0 citations
Preprint Aug 2026

TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent Trajectories

TrajDebug is proposed, an error-lifecycle tracing framework that addresses long-trajectory error discovery with multi-granularity history compression and evidence-based error identification, and supports critical attribution by tracing each error's resolution status and terminal impact.

Yunjia Qi, Zehua Yin, Xin Shi et al. · 4 citations · ⚡1

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