---
title: "Furu Wei — papers of 2023 — 12 papers, the most cited first"
description: "Furu Wei — papers of 2023: 12 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/furu-wei/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/furu-wei/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) / 2023

# Furu Wei — papers of 2023 — 12 papers, the most cited first

12 papers · [all years of Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/#years)

**[Query2doc: Query Expansion with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-query2doc-query-expansion-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Liang Wang, Nan Yang, Furu Wei*2023 · 354 citations*

- [Kosmos-2: Grounding Multimodal Large Language Models to the World arXiv:2306.14824](https://md.research.elamur.ai/free/en/papers/peng-2023-kosmos-2-grounding-multimodal-large/) — Zhiliang Peng, Wenhui Wang, Li Dong, et al. · 2023 · 286 citations
- [Retentive Network: A Successor to Transformer for Large Language Models arXiv:2307.08621](https://md.research.elamur.ai/free/en/papers/sun-2023-retentive-network-successor-transformer-large/) — Yutao Sun, Li Dong, Shaohan Huang, et al. · 2023 · 265 citations

**[Fine-Tuning LLaMA for Multi-Stage Text Retrieval](https://md.research.elamur.ai/free/en/papers/ma-2023-fine-tuning-llama-multi-stage/) [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/)**Xueguang Ma, Liang Wang, Nan Yang, et al.*2023 · 257 citations*

**[Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers](https://md.research.elamur.ai/free/en/papers/dai-2023-why-can-gpt-learn-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Damai Dai, Yutao Sun, Li Dong, et al.*2023 · 257 citations*

- [Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting arXiv:2305.07004](https://md.research.elamur.ai/free/en/papers/huang-2023-all-languages-created-equal-llms/) — Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al. · 2023 · 224 citations
- [MiniLLM: On-Policy Distillation of Large Language Models arXiv:2306.08543](https://md.research.elamur.ai/free/en/papers/gu-2023-minillm-policy-distillation-large-language/) — Yuxian Gu, Li Dong, Furu Wei, et al. · 2023 · 144 citations
- [Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration arXiv:2307.05300](https://md.research.elamur.ai/free/en/papers/wang-2023-unleashing-emergent-cognitive-synergy-large/) — Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al. · 2023 · 140 citations

**[A Length-Extrapolatable Transformer](https://md.research.elamur.ai/free/en/papers/sun-2023-length-extrapolatable-transformer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yutao Sun, Li Dong, Barun Patra, et al.*2023 · 118 citations*

**[SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval](https://md.research.elamur.ai/free/en/papers/wang-2023-simlm-pre-training-representation-bottleneck/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2023 · 106 citations*

**[Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation](https://md.research.elamur.ai/free/en/papers/xia-2023-speculative-decoding-exploiting-speculative-execution/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Heming Xia, Tao Ge, Peiyi Wang, et al.*2023 · 103 citations*

- [PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training arXiv:2309.10400](https://md.research.elamur.ai/free/en/papers/zhu-2023-pose-efficient-context-window/) — Dawei Zhu, Nan Yang, Liang Wang, et al. · 2023 · 52 citations