Mike D'Arcy — accepted AI-conference papers

2026

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

Jonathan Bragg, Mike D'Arcy, Nishant Balepur, Dan Bareket, Bhavana Dalvi Mishra, Sergey Feldman +33

ICLR 2026oral

AI agents hold the potential to revolutionize scientific productivity by automating literature reviews, replicating experiments, analyzing data, and even proposing new directions of inquiry; indeed, there are now many such agents, ranging from general-purpose "deep research" systems to specialized s…

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2023

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations

Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman

EMNLP 2023long main

Learned representations of scientific documents can serve as valuable input features for downstream tasks without further fine-tuning. However, existing benchmarks for evaluating these representations fail to capture the diversity of relevant tasks. In response, we introduce SciRepEval, the first co…

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