---
title: "Hao Peng — papers of 2023 — 5 papers, the most cited first"
description: "Hao Peng — papers of 2023: 5 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/hao-peng/year/2023/"
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# Hao Peng — papers of 2023 — 5 papers, the most cited first

5 papers · [all years of Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/#years)

- [Specializing Smaller Language Models towards Multi-Step Reasoning arXiv:2301.12726](https://md.research.elamur.ai/free/en/papers/fu-2023-specializing-smaller-language-models-towards/) — Yao Fu, Hao Peng, Litu Ou, et al. · 2023 · 224 citations
- [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback arXiv:2309.10691](https://md.research.elamur.ai/free/en/papers/wang-2023-mint-evaluating-llms-multi-turn/) — Xingyao Wang, Zihan Wang, Jiateng Liu, et al. · 2023 · 141 citations
- [Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback arXiv:2305.10142](https://md.research.elamur.ai/free/en/papers/fu-2023-improving-language-model-negotiation-self/) — Yao Fu, Hao Peng, Tushar Khot, et al. · 2023 · 132 citations
- [Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance arXiv:2305.17306](https://md.research.elamur.ai/free/en/papers/fu-2023-chain-thought-hub-continuous-effort/) — Yao Fu, Litu Ou, Mingyu Chen, et al. · 2023 · 72 citations
- [When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks arXiv:2311.08993](https://md.research.elamur.ai/free/en/papers/peng-2023-context-learning-fall-short-why/) — Hao Peng, Xiaozhi Wang, Jianhui Chen, et al. · 2023 · 42 citations