---
title: "Yuxiao Dong — papers of 2023 — 6 papers, the most cited first"
description: "Yuxiao Dong — papers of 2023: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Yuxiao Dong — papers of 2023 — 6 papers, the most cited first

6 papers · [all years of Yuxiao Dong](https://md.research.elamur.ai/free/en/authors/yuxiao-dong/#years)

- [LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding arXiv:2308.14508](https://md.research.elamur.ai/free/en/papers/bai-2023-longbench-bilingual-multitask-benchmark/) — Yushi Bai, Xin Lv, Jiajie Zhang, et al. · 2023 · 514 citations

**[CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X](https://md.research.elamur.ai/free/en/papers/zheng-2023-codegeex-pre-trained-model-code/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Qinkai Zheng, Xiao Xia, Xu Zou, et al.*2023 · 465 citations*

**[CogAgent: A Visual Language Model for GUI Agents](https://md.research.elamur.ai/free/en/papers/hong-2023-cogagent-visual-language-model/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Wenyi Hong, Weihan Wang, Qingsong Lv, et al.*2023 · 367 citations*

- [AgentTuning: Enabling Generalized Agent Abilities for LLMs arXiv:2310.12823](https://md.research.elamur.ai/free/en/papers/zeng-2023-agenttuning-enabling-generalized-agent/) — Aohan Zeng, Mingdao Liu, Rui Lu, et al. · 2023 · 163 citations

**[WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences](https://md.research.elamur.ai/free/en/papers/liu-2023-webglm-efficient-web-enhanced/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Xiao Liu, Hanyu Lai, Hao Yu, et al.*2023 · 95 citations*

- [CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation arXiv:2311.18702](https://md.research.elamur.ai/free/en/papers/ke-2023-critiquellm-informative-critique-generation/) — Pei Ke, Bosi Wen, Zhuoer Feng, et al. · 2023 · 69 citations