5 papers
Coding Agents are Effective Long-Context Processors
Weili Cao, Xunjian Yin, Bhuwan Dhingra +1
Large Language Models (LLMs) have demonstrated remarkable progress in scaling to access massive contexts. However, the access is via the latent and uninterpretable attention mechan…
Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark
Jianyou Wang, Weili Cao, Longtian Bao +6
Systems that answer questions by reviewing the scientific literature are becoming increasingly feasible. To draw reliable conclusions, these systems should take into account the qu…
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
Jianyou Wang, Weili Cao, Kaicheng Wang +13
We study the task of automatically finding evidence relevant to hypotheses in biomedical papers. Finding relevant evidence is an important step when researchers investigate scienti…
Single-Pass Document Scanning for Question Answering
Weili Cao, Jianyou Wang, Youze Zheng +5
Handling extremely large documents for question answering is challenging: chunk-based embedding methods often lose track of important global context, while full-context transformer…
IR2: Information Regularization for Information Retrieval
Jianyou Wang, Kaicheng Wang, Xiaoyue Wang +3
Effective information retrieval (IR) in settings with limited training data, particularly for complex queries, remains a challenging task. This paper introduces IR2, Information Re…