---
title: "Sharath Chandra Raparthy — author profile and papers"
description: "Sharath Chandra Raparthy, Cornell University: 2 papers on Elamur Research (2024), h-index 5 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/sharath-chandra-raparthy/"
---
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# Sharath Chandra Raparthy

Sharath Chandra Raparthy has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Alex Havrilla](https://md.research.elamur.ai/free/en/authors/alex-havrilla/), [Eric Hambro](https://md.research.elamur.ai/free/en/authors/eric-hambro/), [Jane Dwivedi-Yu](https://md.research.elamur.ai/free/en/authors/jane-dwivedi-yu/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5040523178) · [ORCID](https://orcid.org/0000-0003-0655-6715) · [**h-index 5**](https://openalex.org/authors/A5040523178) · [16 works](https://openalex.org/works?filter=author.id:A5040523178) · [60 citations](https://openalex.org/works?filter=author.id:A5040523178&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sharath-chandra-raparthy/#papers) · [🔗 Cited 112 times in our library](https://md.research.elamur.ai/free/en/authors/sharath-chandra-raparthy/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7816](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7816)

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=Sharath+Chandra+Raparthy) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sharath+Chandra+Raparthy) · [dblp](https://dblp.org/search?q=Sharath+Chandra+Raparthy) · [ACL Anthology](https://aclanthology.org/search/?q=Sharath+Chandra+Raparthy)

## Affiliations

[🎓**Cornell University** Ithaca · United States 2024 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/cornell-university/) · [🎓**University of Limerick** Limerick · Ireland 2024 · 1 paper*current*](https://ror.org/00a0n9e72) · [🎓**Université de Montréal** Montreal · Canada 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/sharath-chandra-raparthy/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Teaching Large Language Models to Reason with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/havrilla-2024-teaching-large-language-models-reason/)** *(2024 · 61 citations)* This study asks whether reinforcement learning techniques, popularised by RLHF, can strengthen the reasoning of large language models on math word problems.
2. **[GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements](https://md.research.elamur.ai/free/en/papers/havrilla-2024-glore-where-improve-llm-reasoning/)** *(2024 · 45 citations)* LLMs often fail to self-correct their reasoning without outside help. They cannot reliably tell whether a solution needs fixing or which step went wrong. This work splits refinement into three decisions: when, where, and how. It addresses them without human labels or stronger models, using only the ground-truth…

## 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. [**Teaching Large Language Models to Reason with Reinforcement Learning arXiv:2403.04642**Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, et al.*2024 · 61 citations*](https://md.research.elamur.ai/free/en/papers/havrilla-2024-teaching-large-language-models-reason/)
2. [**GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements arXiv:2402.10963**Alex Havrilla, Sharath Raparthy, Christoforus Nalmpantis, et al.*2024 · 45 citations*](https://md.research.elamur.ai/free/en/papers/havrilla-2024-glore-where-improve-llm-reasoning/)
3. **[Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models ↗](https://arxiv.org/abs/2412.02980) arXiv:2412.02980 · no summary yet**Alex Havrilla et al.*2024 · 17 citations*

## Co-authors here

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

- [Alex Havrilla](https://md.research.elamur.ai/free/en/authors/alex-havrilla/) ×2
- [Eric Hambro](https://md.research.elamur.ai/free/en/authors/eric-hambro/) ×2
- [Jane Dwivedi-Yu](https://md.research.elamur.ai/free/en/authors/jane-dwivedi-yu/) ×2
- [Maksym Zhuravinskyi](https://md.research.elamur.ai/free/en/authors/maksym-zhuravinskyi/) ×2
- [Roberta Raileanu](https://md.research.elamur.ai/free/en/authors/roberta-raileanu/) ×2
- [Christoforos Nalmpantis](https://md.research.elamur.ai/free/en/authors/christoforos-nalmpantis/)
- [Sainbayar Sukhbaatar](https://md.research.elamur.ai/free/en/authors/sainbayar-sukhbaatar/)

## Cited by

Papers of our library cite their works 112 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sharath-chandra-raparthy/cited-by/).

Updated 2 November 2026
