---
title: "Rishabh Agarwal — papers of 2024 — Elamur Research"
description: "Rishabh Agarwal — papers of 2024: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/rishabh-agarwal/year/2024/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rishabh-agarwal/year/2024/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Rishabh Agarwal](https://md.research.elamur.ai/free/en/authors/rishabh-agarwal/) / 2024

# Rishabh Agarwal — papers of 2024 — Elamur Research

6 papers · [all years of Rishabh Agarwal](https://md.research.elamur.ai/free/en/authors/rishabh-agarwal/#years)

- [Training Language Models to Self-Correct via Reinforcement Learning arXiv:2409.12917](https://md.research.elamur.ai/free/en/papers/kumar-2024-training-language-models-self-correct/) — Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al. · 2024 · 159 citations
- [Generative Verifiers: Reward Modeling as Next-Token Prediction arXiv:2408.15240](https://md.research.elamur.ai/free/en/papers/zhang-2024-generative-verifiers-reward-modeling-as/) — Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al. · 2024 · 152 citations

**[Many-Shot In-Context Learning](https://md.research.elamur.ai/free/en/papers/agarwal-2024-many-shot-context-learning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.*2024 · 142 citations*

- [V-STaR: Training Verifiers for Self-Taught Reasoners arXiv:2402.06457](https://md.research.elamur.ai/free/en/papers/hosseini-2024-v-star-training-verifiers-self/) — Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al. · 2024 · 114 citations
- [Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling arXiv:2410.11325](https://md.research.elamur.ai/free/en/papers/xu-2024-speculative-knowledge-distillation-bridging-teacher/) — Wenda Xu, Rujun Han, Zifeng Wang, et al. · 2024 · 41 citations
- [Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling arXiv:2408.16737](https://md.research.elamur.ai/free/en/papers/bansal-2024-smaller-weaker-yet-better-training/) — Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al. · 2024 · 27 citations