Author

Steven Dillmann

Observed name: Dillmann, Steven

Institution: Stanford University

Observed institution: Stanford University

ORCID: 0000-0002-4773-1463

Observed ORCID: 0000-0002-4773-1463

OpenAlex ID: A5123537401

Genome modelling and design across all domains of life with Evo 2

2026 · Garyk Brixi, Matthew G. Durrant, et al. · Nature · 431

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

2026 · Merrill, Mike A., Shaw, Alexander G., et al. · arXiv (Cornell University) · 27

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SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

2026 · Li, Xiangyi, Liu, Yimin, et al. · arXiv (Cornell University) · 25

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Representation learning for time-domain high-energy astrophysics: Transient candidates catalog of X-ray flares and dips

2024 · Dillmann, Steven, Martínez-Galarza, Juan Rafael, et al. · Zenodo (CERN European Organization for Nuclear Research) · 2

SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?

2026 · Desai, Rishi, Hu, Jesse, et al. · arXiv (Cornell University) · 1

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FrontierPhysics: Evaluating Agents for End-to-End Physics Research

2026 · You, Bingran, Ke, Wenjun, et al. · arXiv (Cornell University)

AgentPersonaBench: Benchmarking Persona-Driven User Simulation

2026 · Huang, Jintao, Wang, Yifan, et al. · arXiv (Cornell University)

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OSWorld-Science: A Benchmark of Computer Use Agents for Learning and Using Scientific Software

2026 · Dai, Dingyuan, Qi, Heli, et al. · arXiv (Cornell University)

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Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

2026 · Shi, Lin, Lin, Haowei, et al. · arXiv (Cornell University)

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Terminal-Bench

2026 · Marten, Ryan, Shaw, Alex, et al. · Zenodo (CERN European Organization for Nuclear Research)

Bringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysis

2026 · Chen, Zijiao, Lu, Nicholas, et al. · arXiv (Cornell University)

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OpenThoughts-Agent: Data Recipes for Agentic Models

2026 · Raoof, Negin, Zhuang, Richard, et al. · arXiv (Cornell University)

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Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results

2026 · Batzner, Jan, Nelaturu, Sree Harsha, et al. · arXiv (Cornell University)

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Agents' Last Exam

2026 · Sun, Yiyou, Han, Xinyang, et al. · arXiv (Cornell University)

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Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

2026 · Merrill, Mike A, Shaw, Alexander Glenn, et al. · CISPA Helmholtz Center

AsymmetryZero: A Framework for Operationalizing Human Expert Preferences as Semantic Evals

2026 · Tadhg Looram, Lucas Nuzzi, et al. · SSRN Electronic Journal

Data-Driven Discovery: Machine Learning for the Detection and Characterization of X-ray Transients

2023 · Dillmann, Steven, Juan Rafael, Martínez-Galarza · Monthly Notices of the Royal Astronomical Society

Works count: 17

Citation count: 486

H-index: 3

I10-index: 3