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20242026
most citedAstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite

1 citations · 1 across the 9 of their papers we have counts for

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cs.CL2026

DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute

Nishant Balepur, Malachi Hamada, Varsha Kishore +9

Scientific Deep Research (DR) agents answer user queries by synthesizing research papers into multi-section reports. User feedback can improve their utility, but existing protocols…

cs.CL2026

Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users

Nishant Balepur, Malachi Hamada, Varsha Kishore +7

Deep Research (DR) systems help researchers cope with ballooning publishing counts. Such tools synthesize scientific papers to answer research queries, but lack understanding of th…

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

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.CL2025

Intent-Aware Schema Generation And Refinement For Literature Review Tables

Vishakh Padmakumar, Joseph Chee Chang, Kyle Lo +2

The increasing volume of academic literature makes it essential for researchers to organize, compare, and contrast collections of documents. Large language models (LLMs) can suppor…

cs.CL2025

Ai2 Scholar QA: Organized Literature Synthesis with Attribution

Amanpreet Singh, Joseph Chee Chang, Chloe Anastasiades +15

Retrieval-augmented generation is increasingly effective in answering scientific questions from literature, but many state-of-the-art systems are expensive and closed-source. We in…

cs.CL2024

ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models

Benjamin Newman, Yoonjoo Lee, Aakanksha Naik +6

When conducting literature reviews, scientists often create literature review tables - tables whose rows are publications and whose columns constitute a schema, a set of aspects us…