1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Towards Reliable Long-Context Reasoning: Detecting Unanswerable Questions via FactGuard
Qian-Wen Zhang, Biao Liu, Fang Li +5
Despite the success of Large Language Models (LLMs) in long-context tasks, their reliability in recognizing unanswerable questions remains a critical challenge. In information-seek…
cs.CL2025
Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts
Yifei Yu, Qian-Wen Zhang, Lingfeng Qiao +7
Evaluating the ability of large language models (LLMs) to process lengthy contexts is critical, especially for retrieving query-relevant information embedded within them. We introd…
cs.AI2024★ 1 cited
CJEval: A Benchmark for Assessing Large Language Models Using Chinese Junior High School Exam Data
Qian-Wen Zhang, Haochen Wang, Fang Li +5
Online education platforms have significantly transformed the dissemination of educational resources by providing a dynamic and digital infrastructure. With the further enhancement…