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Yunfan Zhou

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#artificial intelligence Preprint Sep 2026

DashAct: A Progressive Diagnostic Benchmark for GUI Agents in Interactive Dashboard Analysis

DashAct is introduced, to the authors' knowledge the first benchmark to diagnose failures at a fine-grained level within the same dashboard task, and measures the minimum support an agent needs to recover rather than scoring isolated skills.

Chu-Han Zhang, Qinghongbing Xie, Zi-Yue Wang et al. · 0 citations
Preprint Aug 2026

AdaLens: Interactive Storyline for Monitoring and Steering Long-Running Agentic Data Analysis

AdaLens is presented, an interactive system for monitoring and steering ongoing runs that combines a storyline-based representation that unifies analytical plans, execution progress, intermediate findings, and data-column involvement with steering interactions grounded in these analytical elements for directional guida...

Yangtian Liu, Yan Miao, Shuhan Liu et al. · 0 citations
Jul 2026

SKILL-KD: Contrastive Skill Distillation for LLM Agents

SKILL-KD is proposed, a contrastive skill distillation framework that treats skills as an explicit distillation medium between agents of different capabilities and consistently improves frozen student agents over fixed-model adaptation baselines.

Qi-Ming Shi, Yibo Dou, J. Zhu et al. · 0 citations
#artificial intelligence Preprint Aug 2026

BIRD-History: A Benchmark for History-Driven Text-to-SQL with Fine-Grained Knowledge Annotations

BIRD-History is introduced, a benchmark consisting of 1,393 tasks across 11 databases, designed to evaluate text-to-SQL systems'ability to ground underspecified natural language questions using historical SQL scripts, and a plug-in retriever that extracts five types of external knowledge from historical SQL scripts, th...

Yun-Fan Zhou, Qi-Ming Shi, Yi-Zhou Yang et al. · 0 citations

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