--- title: "Rishabh Agarwal — papers" description: "Rishabh Agarwal: 6 papers in the Elamur Research library (2023–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/rishabh-agarwal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rishabh-agarwal/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Rishabh Agarwal # Rishabh Agarwal 6 papers on this site (2023–2024) [OpenAlex](https://openalex.org/A5070953294) · [ORCID](https://orcid.org/0000-0003-2817-0231) · h-index 12 · 55 works · 888 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [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 - [Many-Shot In-Context Learning](https://md.research.elamur.ai/free/en/papers/agarwal-2024-many-shot-context-learning/) — Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al. · 2024 - [Training Language Models to Self-Correct via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/kumar-2024-training-language-models-self-correct/) — Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al. · 2024 - [V-STaR: Training Verifiers for Self-Taught Reasoners](https://md.research.elamur.ai/free/en/papers/hosseini-2024-v-star-training-verifiers-self/) — Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al. · 2024 - [Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models](https://md.research.elamur.ai/free/en/papers/singh-2023-human-data-scaling-self-training/) — Avi Singh, John D. Co-Reyes, Rishabh Agarwal, et al. · 2023 - [On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes](https://md.research.elamur.ai/free/en/papers/agarwal-2023-policy-distillation-language-models-learning/) — Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al. · 2023