---
title: "Bin Li — papers of 2023 — 3 papers, the most cited first"
description: "Bin Li — papers of 2023: 3 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/bin-li/year/2023/"
---
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# Bin Li — papers of 2023 — 3 papers, the most cited first

3 papers · [all years of Bin Li](https://md.research.elamur.ai/free/en/authors/bin-li/#years)

- [InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238](https://md.research.elamur.ai/free/en/papers/chen-2023-internvl-scaling-up-vision/) — Zhe Chen, Jiannan Wu, Wenhai Wang, et al. · 2023 · 435 citations

**[Large Language Models are Better Reasoners with Self-Verification](https://md.research.elamur.ai/free/en/papers/weng-2023-large-language-models-are-better/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yixuan Weng, Minjun Zhu, Fei Xia, et al.*2023 · 304 citations*

- [Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory arXiv:2305.17144](https://md.research.elamur.ai/free/en/papers/zhu-2023-ghost-minecraft-generally-capable-agents/) — Xizhou Zhu, Yuntao Chen, Hao Tian, et al. · 2023 · 96 citations
