7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science
Xinna Lin, Siqi Ma, Junjie Shan +5
Pursuing artificial intelligence for biomedical science, a.k.a. AI Scientist, draws increasing attention, where one common approach is to build a copilot agent driven by Large Lang…
cs.SE2024★ 3 cited
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
Shihan Dou, Yan Liu, Haoxiang Jia +14
The advancement of large language models (LLMs) has significantly propelled the field of code generation. Previous work integrated reinforcement learning (RL) with compiler feedbac…
cs.CL2022★ 7 cited
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
Shihan Dou, Rui Zheng, Ting Wu +5
Natural language understanding (NLU) models tend to rely on spurious correlations (i.e., dataset bias) to achieve high performance on in-distribution datasets but poor performance…