---
title: "Xiang Ren — papers of 2023 — 7 papers, the most cited first"
description: "Xiang Ren — papers of 2023: 7 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/xiang-ren/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiang-ren/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Xiang Ren](https://md.research.elamur.ai/free/en/authors/xiang-ren/) / 2023

# Xiang Ren — papers of 2023 — 7 papers, the most cited first

7 papers · [all years of Xiang Ren](https://md.research.elamur.ai/free/en/authors/xiang-ren/#years)

**[LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion](https://md.research.elamur.ai/free/en/papers/jiang-2023-llm-blender-ensembling-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dongfu Jiang, Xiang Ren, Bill Yuchen Lin*2023 · 321 citations*

**[SCOTT: Self-Consistent Chain-of-Thought Distillation](https://md.research.elamur.ai/free/en/papers/wang-2023-scott-self-consistent-chain-thought/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peifeng Wang, Zhengyang Wang, Zheng Li, et al.*2023 · 146 citations*

**[Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 140 citations*

**[SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks](https://md.research.elamur.ai/free/en/papers/lin-2023-swiftsage-generative-agent-fast-slow/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Bill Yuchen Lin, Yicheng Fu, Karina Yang, et al.*2023 · 110 citations*

- [How FaR Are Large Language Models From Agents with Theory-of-Mind? arXiv:2310.03051](https://md.research.elamur.ai/free/en/papers/zhou-2023-far-large-language-models-agents/) — Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, et al. · 2023 · 40 citations
- [PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning arXiv:2305.19472](https://md.research.elamur.ai/free/en/papers/brahman-2023-plasma-making-small-language-models/) — Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, et al. · 2023 · 25 citations

**[Tailoring Self-Rationalizers with Multi-Reward Distillation](https://md.research.elamur.ai/free/en/papers/ramnath-2023-tailoring-self-rationalizers-multi-reward/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Sahana Ramnath, Brihi Joshi, Skyler Hallinan, et al.*2023 · 14 citations*
