---
title: "Jianfeng Gao — papers of 2023 — 9 papers, the most cited first"
description: "Jianfeng Gao — papers of 2023: 9 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Jianfeng Gao — papers of 2023 — 9 papers, the most cited first

9 papers · [all years of Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/#years)

**[LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://md.research.elamur.ai/free/en/papers/li-2023-llava-med-training-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chunyuan Li, Cliff Wong, Sheng Zhang, et al.*2023 · 692 citations*

- [Instruction Tuning with GPT-4 arXiv:2304.03277](https://md.research.elamur.ai/free/en/papers/peng-2023-instruction-tuning-gpt-4/) — Baolin Peng, Chunyuan Li, Pengcheng He, et al. · 2023 · 662 citations
- [MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts arXiv:2310.02255](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/) — Pan Lu, Hritik Bansal, Tony Xia, et al. · 2023 · 468 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

**[Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2023-chameleon-plug-play-compositional-reasoning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Pan Lu, Baolin Peng, Hao Cheng, et al.*2023 · 327 citations*

- [Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs arXiv:2310.01801](https://md.research.elamur.ai/free/en/papers/ge-2023-model-tells-discard-adaptive-kv/) — Suyu Ge, Yunan Zhang, Liyuan Liu, et al. · 2023 · 202 citations
- [Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V arXiv:2310.11441](https://md.research.elamur.ai/free/en/papers/yang-2023-set-mark-prompting-unleashes-extraordinary/) — Jianwei Yang, Hao Zhang, Feng Li, et al. · 2023 · 137 citations

**[How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN](https://md.research.elamur.ai/free/en/papers/mccoy-2023-how-much-do-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**R. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.*2023 · 117 citations*

- [Self-Verification Improves Few-Shot Clinical Information Extraction arXiv:2306.00024 · IMLH 2023](https://md.research.elamur.ai/free/en/papers/gero-2023-self-verification-improves-few-shot/) — Zelalem Gero, Chandan Singh, Hao Cheng, et al. · 2023 · 51 citations