---
title: "Hritik Bansal — papers"
description: "Hritik Bansal: 5 papers in the Elamur Research library (2021–2025) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/hritik-bansal/"
---
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# Hritik Bansal

5 papers on this site (2021–2025)

[OpenAlex](https://openalex.org/A5112428050) · h-index 13 · 48 works · 520 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [OpenThoughts: Data Recipes for Reasoning Models](https://md.research.elamur.ai/free/en/papers/guha-2025-openthoughts-data-recipes-reasoning-models/) — Etash Guha, Ryan Marten, Sedrick Keh, et al. · 2025
- [DataComp-LM: In search of the next generation of training sets for language models](https://md.research.elamur.ai/free/en/papers/li-2024-datacomp-lm-search-next-generation/) — Jeffrey Li, Alex Fang, Georgios Smyrnis, et al. · 2024
- [Generative Verifiers: Reward Modeling as Next-Token Prediction](https://md.research.elamur.ai/free/en/papers/zhang-2024-generative-verifiers-reward-modeling-as/) — Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al. · 2024
- [MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/) — Pan Lu, Hritik Bansal, Tony Xia, et al. · 2023
- [Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?](https://md.research.elamur.ai/free/en/papers/bansal-2021-can-rnns-trained-harder-subject/) — Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal · 2021
