collaborators

5 papers

cs.AI20261 cited

AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite

Jonathan Bragg, Mike D'Arcy, Nishant Balepur +36

AI agents hold the potential to revolutionize scientific productivity by automating literature reviews, replicating experiments, analyzing data, and even proposing new directions o…

cs.CL2026

Improving Attributed Long-form Question Answering with Intent Awareness

Xinran Zhao, Aakanksha Naik, Jay DeYoung +4

Large language models (LLMs) are increasingly being used to generate comprehensive, knowledge-intensive reports. However, while these models are trained on diverse academic papers…

cs.CL2026

Deep Research, Shallow Evaluation: A Case Study in Meta-Evaluation for Long-Form QA Benchmarks

Jena D. Hwang, Varsha Kishore, Amanpreet Singh +9

Recent advances have made long-form report-generating systems widely available. This has prompted evaluation frameworks that use LLM-as-judge protocols and claim verification, alon…

cs.CL2026

Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning

Amita Kamath, Jack Hessel, Khyathi Chandu +3

The lack of reasoning capabilities in Vision-Language Models (VLMs) has remained at the forefront of research discourse. We posit that this behavior stems from a reporting bias in…

cs.HC2026

Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Dataset

Dany Haddad, Dan Bareket, Joseph Chee Chang +19

AI-powered scientific research tools are rapidly being integrated into research workflows, yet the field lacks a clear lens into how researchers use these systems in real-world set…