1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2026
Architecture-Aware Multi-Design Generation for Repository-Level Feature Addition
Mingwei Liu, Zhenxi Chen, Zheng Pei +3
Implementing new features across an entire codebase presents a formidable challenge for Large Language Models (LLMs). This proactive task requires a deep understanding of the globa…
cs.CL2026
PanCanBench: A Comprehensive Benchmark for Evaluating Large Language Models in Pancreatic Oncology
Yimin Zhao, Sheela R. Damle, Simone E. Dekker +13
Large language models (LLMs) have achieved expert-level performance on standardized examinations, yet multiple-choice accuracy poorly reflects real-world clinical utility and safet…
cs.CL2025★ 1 cited
UQ: Assessing Language Models on Unsolved Questions
Fan Nie, Ken Ziyu Liu, Zihao Wang +11
Benchmarks shape progress in AI research. A useful benchmark should be both difficult and realistic: questions should challenge frontier models while also reflecting real-world usa…