Author

Yu-Qi Ren

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#natural language process... Preprint Sep 2026

F$^{2}$DR: A Fine-Grained Full-Pipeline Reward Framework for DeepSearch Workflows

F2DR evaluates DeepSearch workflows across three dimensions: Content, Trajectory, and Answer, enabling comprehensive process-level assessment, and constructs DeepSearch RM-Bench, a dedicated benchmark for evaluating RMs in DeepSearch scenarios.

Bo-Jian Xiong, Wen-Tao Ding, Yu-Jing Lu et al. · 0 citations

Preprint Jul 2026

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios

Experimental results demonstrate that D2VBench exhibits high reliability and robustness, effectively reflecting the LLMs'alignment across different value categories and dimensions, and providing a more realistic and fine-grained tool for research on value alignment.

Siyi Hao, Yidi Cao, Linhao Yu et al. · 0 citations