activity
20242026
most citedEvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Constructing Challenging Browser-Use Tasks by Controlled Environment Interventions

Xunjian Yin, Tianchen Guan, Jinao Wang +8

As browser-use agents improve, benchmarks keep pace by adding new tasks, websites, and applications. Doing so is costly, and because many factors change at once, it is unclear what…

cs.CL2026

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…

cs.CL2025★ 1 cited

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…

cs.CL2025

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…

cs.CL2024

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…

cs.IR2024★ 1 cited

BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives

Xiaoyue Wang, Jianyou Wang, Weili Cao +3

We present the Benchmark of Information Retrieval (IR) tasks with Complex Objectives (BIRCO). BIRCO evaluates the ability of IR systems to retrieve documents given multi-faceted us…

cs.IR2024

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…