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Siddharth Narayanan

Siddharth Narayanan has 4 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Samuel G. Rodriques, Andrew D. White, Jon M Laurent.

4 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 88 · 647 works · 32,043 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 68 times in our library · ⭐ Paper Stars ranking: #7884

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🤝Future House, Inc.San Francisco · United States2024 · 2 paperscurrent🎓Massachusetts Institute of TechnologyCambridge · United States2014–2023 · 558 papersEducation🔬Institute of High Energy PhysicsVienna · Austria2016–2023 · 35 papers🏛️Austrian Academy of SciencesVienna · Austria2016–2018 · 10 papers🏢Edison Scientific Inc.San Francisco · United States2025 · 2 papers🎓University of Wisconsin–MadisonMadison · United States2017–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 14The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 workMaterials Science · 1 workDecision Sciences · 1 workHealth Informatics · 1 workInformation Systems and Management · 1 workMedicine · 1 workComputational Theory and Mathematics · 1 workMaterials Chemistry · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20252 papers20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LAB-Bench: Measuring Capabilities of Language Models for Biology Research (2024 · 62 citations)
    Most science benchmarks for LLMs test textbook-style recall, not the practical work researchers do every day. LAB-Bench, from FutureHouse, fills this gap for biology. It contains more than 2,400 multiple-choice questions covering:
  2. BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology (2025 · 29 citations)
    Bioinformatics may be one of the first fields where AI agents could carry out research autonomously. Yet no broad benchmark existed to test whether LLM-based agents can explore real biological data, run long multi-step analyses and interpret the results. The authors, from FutureHouse and ScienceMachine, built…
  3. Aviary: training language agents on challenging scientific tasks (2024 · 18 citations)
    Scientific work usually unfolds over many rounds of tool use, analysis and feedback, yet software for building and training LLM-based agents for such multi-step work is fragmented and loosely defined.
  4. Training a Scientific Reasoning Model for Chemistry (2025 · 15 citations)
    The paper asks whether reasoning-style post-training, which has mostly been shown to work in maths and coding, also transfers to chemistry.

 Co-authors here

10 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 68 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

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