---
title: "Bo Li — papers of 2023 — 4 papers, the most cited first"
description: "Bo Li — papers of 2023: 4 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/bo-li/year/2023/"
---
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# Bo Li — papers of 2023 — 4 papers, the most cited first

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

**[MMBench: Is Your Multi-modal Model an All-around Player?](https://md.research.elamur.ai/free/en/papers/liu-2023-mmbench-multi-modal-model-all/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Yuan Liu, Haodong Duan, Yuanhan Zhang, et al.*2023 · 942 citations*

**[Otter: A Multi-Modal Model with In-Context Instruction Tuning](https://md.research.elamur.ai/free/en/papers/li-2023-otter-multi-modal-model-context/) [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-pattern-analysis-and-machine-intelligence/)**Bo Li, Yuanhan Zhang, Liangyu Chen, et al.*2023 · 291 citations*

- [On the Tool Manipulation Capability of Open-source Large Language Models arXiv:2305.16504](https://md.research.elamur.ai/free/en/papers/xu-2023-tool-manipulation-capability-open-source/) — Qiantong Xu, Fenglu Hong, Bo Li, et al. · 2023 · 92 citations
- [LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning arXiv:2308.03303](https://md.research.elamur.ai/free/en/papers/zhang-2023-lora-fa-efficient-effective-low/) — Longteng Zhang, Lin Zhang, Shaohuai Shi, et al. · 2023 · 58 citations
