---
title: "Prasann Singhal — author profile and papers · Reasoning"
description: "Prasann Singhal, Carnegie Mellon University: 2 papers on Elamur Research (2023–2024), h-index 3 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/prasann-singhal/"
---
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# Prasann Singhal

Prasann Singhal has 2 papers in our library, in 2023–2024, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Greg Durrett](https://md.research.elamur.ai/free/en/authors/greg-durrett/), [Jiacheng Xu](https://md.research.elamur.ai/free/en/authors/jiacheng-xu/), [Juan Diego Rodriguez](https://md.research.elamur.ai/free/en/authors/juan-diego-rodriguez/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5077575645) · [**h-index 3**](https://openalex.org/authors/A5077575645) · [12 works](https://openalex.org/works?filter=author.id:A5077575645) · [23 citations](https://openalex.org/works?filter=author.id:A5077575645&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/prasann-singhal/#papers) · [🔗 Cited 205 times in our library](https://md.research.elamur.ai/free/en/authors/prasann-singhal/cited-by/) · [⭐ Paper Stars ranking: #4566](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4566)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Prasann+Singhal) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Prasann+Singhal) · [dblp](https://dblp.org/search?q=Prasann+Singhal) · [ACL Anthology](https://aclanthology.org/search/?q=Prasann+Singhal)

## Affiliations

[🎓**University of California, Berkeley** Berkeley · United States 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**The University of Texas at Austin** Austin · United States 2023–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/)

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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2024** 1 paper Prasann Singhal's papers of 2024](https://md.research.elamur.ai/free/en/papers/sprague-2024-cot-cot-chain-thought-helps/) · [**2023** 1 paper Prasann Singhal's papers of 2023](https://md.research.elamur.ai/free/en/papers/singhal-2023-long-way-go-investigating-length/)

## 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](https://md.research.elamur.ai/free/en/papers/sprague-2024-cot-cot-chain-thought-helps/)** *(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](https://md.research.elamur.ai/free/en/papers/singhal-2023-long-way-go-investigating-length/)** *(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.

- [Greg Durrett](https://md.research.elamur.ai/free/en/authors/greg-durrett/) ×2
- [Jiacheng Xu](https://md.research.elamur.ai/free/en/authors/jiacheng-xu/)
- [Juan Diego Rodriguez](https://md.research.elamur.ai/free/en/authors/juan-diego-rodriguez/)
- [Kyle Mahowald](https://md.research.elamur.ai/free/en/authors/kyle-mahowald/)
- [Tanya Goyal](https://md.research.elamur.ai/free/en/authors/tanya-goyal/)
- [Xi Ye](https://md.research.elamur.ai/free/en/authors/xi-ye/)
- [Zayne Sprague](https://md.research.elamur.ai/free/en/authors/zayne-sprague/)

## 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 →](https://md.research.elamur.ai/free/en/authors/prasann-singhal/cited-by/).

Updated 24 October 2026
