---
title: "Jiawei Han — papers of 2023 — 3 papers, the most cited first"
description: "Jiawei Han — papers of 2023: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Jiawei Han — papers of 2023 — 3 papers, the most cited first

3 papers · [all years of Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/#years)

**[Large Language Models Can Self-Improve](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-can-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Huang, Shixiang Gu, Le Hou, et al.*2023 · 575 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

**[Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-really-good/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Fangzhi Xu, Qika Lin, Jiawei Han, et al.*2023 · 142 citations*