1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Better Eyes, Better Thoughts: Why Vision Chain-of-Thought Fails in Medicine
Yuan Wu, Zongxian Yang, Jiayu Qian +5
Large vision-language models (VLMs) often benefit from chain-of-thought (CoT) prompting in general domains, yet its efficacy in medical vision-language tasks remains underexplored.…
cs.SE2025
GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation
Qianheng Zhang, Song Gao, Chen Wei +6
Recent advances in large language models (LLMs) have fueled growing interest in automating geospatial analysis and GIS workflows, yet their actual capabilities remain uncertain. In…
cs.LG2025★ 1 cited
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
Yifei Li, Hanane Nour Moussa, Ziru Chen +16
Despite long-standing efforts in accelerating scientific discovery with AI, building AI co-scientists remains challenging due to limited high-quality data for training and evaluati…