Sharath Chandra Raparthy

Sharath Chandra Raparthy has 2 papers in our library, in 2024, most of them on Language models & pretraining, Reasoning; often with Alex Havrilla, Eric Hambro, Jane Dwivedi-Yu.

2 papers in our library · 2024

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

Affiliations

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

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

The most cited first (OpenAlex and our library).

Teaching Large Language Models to Reason with Reinforcement Learning (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.
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements (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…

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.

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

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 →.

Updated 2 November 2026