5 papers
Lost at the End: Primacy Bias in Multimodal Retrieval-Augmented Question Answering
Jieyuan Liu, Jianyang Gu, Shijie Chen +2
Knowledge-based visual question answering (KB-VQA) lets vision-language systems answer questions that exceed their parametric knowledge by conditioning a reader on passages retriev…
Can Post-Training Turn LLMs into Good Medical Coders? An Empirical Study of Generative ICD Coding
Ziqing Wang, Weihao Li, Shijie Chen +2
Automated International Classification of Diseases (ICD) coding is a core medical-coding task for billing, epidemiology, and clinical decision support. Generative large language mo…
QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks
Jian Xie, Tianhe Lin, Zilu Wang +16
Deep research agents extend the role of search engines from retrieving keyword-matched pages to synthesizing knowledge, fundamentally changing how humans interact with information.…
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…
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…