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Harshit Surana

Harshit Surana has 2 papers in our library, in 2024; often with Ashish Sabharwal, Bodhisattwa Prasad Majumder, Dhruv Agarwal.

2 papers in our library · 2024

OpenAlex · h-index 4 · 19 works · 177 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 86 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8541

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

🎓Carnegie Mellon UniversityPittsburgh · United States2008 · 3 papers🔬Allen Institute for Artificial IntelligenceSeattle · United States2025 · 2 papers🎓International Institute of Information Technology, HyderabadHyderabad · India2007–2008 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksDecision Sciences · 1 workGeneral Social Sciences · 1 workInformation Systems and Management · 1 workSocial Sciences · 1 workMaterials Chemistry · 1 workMaterials Science · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DiscoveryBench: Towards Data-Driven Discovery with Large Language Models (2024 · 55 citations)
    DiscoveryBench tests whether LLM-based agents can independently form and check hypotheses using only supplied datasets, a setting the authors call data-driven discovery.
  2. Data-driven Discovery with Large Generative Models (2024 · 15 citations)
    This position paper, written by authors from the Allen Institute for AI and collaborators, urges the ML community to build systems that perform scientific discovery end to end using only datasets already at hand, with no new data collection or lab experiments.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. DiscoveryBench: Towards Data-Driven Discovery with Large Language ModelsarXiv:2407.01725Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.2024 · 55 citations
  2. AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite ↗arXiv:2510.21652 · no summary yetJonathan Bragg et al.2025 · 19 citations
  3. Data-driven Discovery with Large Generative ModelsarXiv:2402.13610Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.2024 · 15 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 86 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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