---
title: "Who cites Rewarding Chatbots for — 16 citing papers"
description: "16 papers of the Elamur Research library cite «Rewarding Chatbots for Real-World Engagement with Millions of Users», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/irvine-2023-rewarding-chatbots-real-world-engagement/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Rewarding Chatbots for Real-World Engagement with…](https://md.research.elamur.ai/free/en/papers/irvine-2023-rewarding-chatbots-real-world-engagement/) / cited by

# Who cites «Rewarding Chatbots for Real-World Engagement with Millions of Users»

16 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Rewarding Chatbots for Real-World Engagement with Millions of Users»](https://md.research.elamur.ai/free/en/papers/irvine-2023-rewarding-chatbots-real-world-engagement/)

1. **[s1: Simple test-time scaling](https://md.research.elamur.ai/free/en/papers/muennighoff-2025-s1-simple-test-time-scaling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.*2025 · 608 citations*
2. [**Large Language Monkeys: Scaling Inference Compute with Repeated Sampling arXiv:2407.21787**Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.*2024 · 270 citations*](https://md.research.elamur.ai/free/en/papers/brown-2024-large-language-monkeys-scaling-inference/)
3. **[Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-refine-self-refinement-parallel/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qibin Wang, Pu Zhao, Shaohan Huang, et al.*2026*
4. **[Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM Reasoning](https://md.research.elamur.ai/free/en/papers/saparkhan-2026-self-consistency-only-two-samples/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Raman Saparkhan, Majd Hawasly, Md Rizwan Parvez, et al.*2026*

12 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/irvine-2023-rewarding-chatbots-real-world-engagement/) — Rewarding Chatbots for Real-World Engagement with Millions of Users