--- title: "Tianyi Zhou — papers of 2023 — 5 papers, the most cited first" description: "Tianyi Zhou — papers of 2023: 5 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/tianyi-zhou/year/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tianyi-zhou/year/2023/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/) / 2023 # Tianyi Zhou — papers of 2023 — 5 papers, the most cited first 5 papers · [all years of Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/#years) **[HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/guan-2023-hallusionbench-advanced-diagnostic-suite-entangled/) [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/)**Tianrui Guan, Fuxiao Liu, Xiyang Wu, et al.*2023 · 335 citations* - [AlpaGasus: Training A Better Alpaca with Fewer Data arXiv:2307.08701](https://md.research.elamur.ai/free/en/papers/chen-2023-alpagasus-training-better-alpaca-fewer/) — Lichang Chen, Shiyang Li, Jun Yan, et al. · 2023 · 220 citations - [From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning arXiv:2308.12032](https://md.research.elamur.ai/free/en/papers/li-2023-quantity-quality-boosting-llm-performance/) — Ming Li, Yong Zhang, Zhitao Li, et al. · 2023 · 161 citations - [Large Language Models are Strong Zero-Shot Retriever arXiv:2304.14233](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-strong-zero/) — Tao Shen, Guodong Long, Xiubo Geng, et al. · 2023 · 26 citations - [MerA: Merging Pretrained Adapters For Few-Shot Learning arXiv:2308.15982](https://md.research.elamur.ai/free/en/papers/he-2023-mera-merging-pretrained-adapters-few/) — Shwai He, Run-Ze Fan, Liang Ding, et al. · 2023 · 11 citations