---
title: "Weizhu Chen — papers of 2023 — 7 papers, the most cited first"
description: "Weizhu Chen — papers of 2023: 7 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Weizhu Chen — papers of 2023 — 7 papers, the most cited first

7 papers · [all years of Weizhu Chen](https://md.research.elamur.ai/free/en/authors/weizhu-chen/#years)

- [Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy arXiv:2305.15294](https://md.research.elamur.ai/free/en/papers/shao-2023-enhancing-retrieval-augmented-large-language/) — Zhihong Shao, Yeyun Gong, Yelong Shen, et al. · 2023 · 383 citations
- [Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback arXiv:2302.12813](https://md.research.elamur.ai/free/en/papers/peng-2023-check-facts-try-again-improving/) — Baolin Peng, Michel Galley, Pengcheng He, et al. · 2023 · 363 citations
- [CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing arXiv:2305.11738](https://md.research.elamur.ai/free/en/papers/gou-2023-critic-large-language-models-self/) — Zhibin Gou, Zhihong Shao, Yeyun Gong, et al. · 2023 · 326 citations
- [ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving arXiv:2309.17452](https://md.research.elamur.ai/free/en/papers/gou-2023-tora-tool-integrated-reasoning-agent/) — Zhibin Gou, Zhihong Shao, Yeyun Gong, et al. · 2023 · 225 citations

**[Making Language Models Better Reasoners with Step-Aware Verifier](https://md.research.elamur.ai/free/en/papers/li-2023-making-language-models-better-reasoners/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifei Li, Zeqi Lin, Shizhuo Zhang, et al.*2023 · 217 citations*

- [AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning arXiv:2303.10512](https://md.research.elamur.ai/free/en/papers/zhang-2023-adalora-adaptive-budget-allocation-parameter/) — Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al. · 2023 · 173 citations
- [AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators arXiv:2303.16854](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/) — Xingwei He, Zhenghao Lin, Yeyun Gong, et al. · 2023 · 152 citations
