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D. Song

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Opera: A Verbal Critic Framework for Long-horizon Coding Agents

Opera is presented, a verbal critic framework that treats each correction as a persistent note, followed until the diagnosed problem is resolved, and achieves the highest mean resolve rate among competitive critic baselines on all three benchmarks.

Kai Mei, Zhi-Yuan Hu, Yu-Tong Dai et al. · 0 citations
Book Open access Feb 2026

LiveMedBench: A Contamination-Limited Medical Benchmark for LLMs with Automated Rubric Evaluation

A Multi-Agent Clinical Curation Framework that filters raw data noise and validates clinical integrity against evidence-based medical principles and develops an Automated Rubric-based Evaluation Framework that decomposes physician responses into granular, case-specific criteria, achieving substantially stronger alignme...

Zhiling Yan, D. Song, Zhen Fang et al. · 10 citations · ⚡2
#artificial intelligence Preprint Aug 2026

Dr. Claw: An AI Scientist Workspace for Vibe Research

Dr. Claw is presented, an open-source workspace that wraps existing coding-agent executors in a controllable and auditable human-in-the-loop workflow rather than introducing another autonomous agent.

D. Song, Han-Rong Zhang, Dawei Liu et al. · 1 citation
Book Open access Aug 2026

LiveMedBench: A Contamination-Limited Medical Benchmark for LLMs with Automated Rubric Evaluation

The deployment of Large Language Models (LLMs) in high-stakes clinical settings demands rigorous and reliable evaluation. However, existing medical benchmarks remain static, suffering from two critical limitations: (1) data contamination, where test sets inadvertently leak into training corpora, leading to inflated per...

Zhiling Yan, D. Song, Zhe Fang et al. · 0 citations

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