Yujing Qiao — accepted AI-conference papers

2025

CFBench: A Comprehensive Constraints-Following Benchmark for LLMs

Tao Zhang, ChengLIn Zhu, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang +7

ACL 2025long

The adeptness of Large Language Models (LLMs) in comprehending and following natural language instructions is critical for their deployment in sophisticated real-world applications. Existing evaluations mainly focus on fragmented constraints or narrow scenarios, but they overlook the comprehensivene…

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2025

SysBench: Can LLMs Follow System Message?

Yanzhao Qin, Tao Zhang, Yanjun Shen, Wenjing Luo, sunhaoze, Yan Zhang +5

ICLR 2025poster

Large Language Models (LLMs) have become instrumental across various applications, with the customization of these models to specific scenarios becoming increasingly critical. System message, a fundamental component of LLMs, is consist of carefully crafted instructions that guide the behavior of mod…

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