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H. Luu

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Overview of the NLPCC 2026 Shared Task 11: Agent-Based Experiment Reproduction from Scientific Papers

This work introduces AgentActionBench, a process-oriented benchmark for evaluating agent-based experiment reproduction across ML and AI4Science domains, and uses an MCP-based Action Recorder to capture agents' behaviour throughout the reproduction process and evaluates the resulting traces with paper-specific rubrics.

Han-Hua Hong, Yi-Zhi Li, H. Luu et al. · 1 citation
Jul 2026

Can LLMs Write Reliable Rubrics? A Meta-Evaluation for Experiment Reproduction

This work presents the first systematic meta-evaluation of LLM-generated rubrics intrinsically by semantic similarity and extrinsically by score alignment with ground-truth rubrics, and meta-evaluate generated rubrics intrinsically and extrinsically by score alignment with ground-truth rubrics.

Han-Hua Hong, Yizhi Li, Jiaoyan Chen et al. · 3 citations · ⚡1

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