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Prasann Singhal

Prasann Singhal has 2 papers in our library, in 2023–2024, most of them on Reasoning; often with Greg Durrett, Jiacheng Xu, Juan Diego Rodriguez.

2 papers in our library · 2023–2024

OpenAlex · h-index 3 · 12 works · 23 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 205 times in our library · ⭐ Paper Stars ranking: #4567

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

🎓University of California, BerkeleyBerkeley · United States2025–2026 · 2 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2026 · 1 papercurrent🎓The University of Texas at AustinAustin · United States2023–2025 · 5 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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20241 paperTo CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning20231 paperA Long Way to Go: Investigating Length Correlations in RLHF

 Papers

The most cited first (OpenAlex and our library).

  1. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning (2024 · 133 citations)
    Chain-of-thought (CoT) prompting, where a large language model is asked to reason step by step, is widely treated as a general booster for reasoning.
  2. A Long Way to Go: Investigating Length Correlations in RLHF (2023 · 88 citations)
    RLHF-tuned language models tend to give much longer answers than their supervised starting points. Earlier work mostly treated this as a side effect of PPO. This paper asks how much of the apparent RLHF gain comes from length alone. The authors run PPO on Llama-7B (with LoRA) in three helpfulness settings: WebGPT…

 Co-authors here

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

 Cited by

Papers of our library cite their works 205 times (of the 141,840 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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