---
title: "Furu Wei — papers"
description: "Furu Wei: 25 papers in the Elamur Research library (2014–2024) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/furu-wei/"
---
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# Furu Wei

25 papers on this site (2014–2024)

[OpenAlex](https://openalex.org/A5014662947) · [ORCID](https://orcid.org/0000-0002-7810-5852) · h-index 85 · 490 works · 33288 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Generative Representational Instruction Tuning](https://md.research.elamur.ai/free/en/papers/muennighoff-2024-generative-representational-instruction-tuning/) — Niklas Muennighoff, Hongjin Su, Liang Wang, et al. · 2024
- [Improving Text Embeddings with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-improving-text-embeddings-large-language/) — Liang Wang, Nan Yang, Xiaolong Huang, et al. · 2024
- [Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models](https://md.research.elamur.ai/free/en/papers/tang-2024-language-specific-neurons-key-multilingual/) — Tianyi Tang, Wenyang Luo, Haoyang Huang, et al. · 2024
- [Multilingual E5 Text Embeddings: A Technical Report](https://md.research.elamur.ai/free/en/papers/wang-2024-multilingual-e5-text-embeddings-technical/) — Liang Wang, Nan Yang, Xiaolong Huang, et al. · 2024
- [Fine-Tuning LLaMA for Multi-Stage Text Retrieval](https://md.research.elamur.ai/free/en/papers/ma-2023-fine-tuning-llama-multi-stage/) — Xueguang Ma, Liang Wang, Nan Yang, et al. · 2023
- [Kosmos-2: Grounding Multimodal Large Language Models to the World](https://md.research.elamur.ai/free/en/papers/peng-2023-kosmos-2-grounding-multimodal-large/) — Zhiliang Peng, Wenhui Wang, Li Dong, et al. · 2023
- [MiniLLM: On-Policy Distillation of Large Language Models](https://md.research.elamur.ai/free/en/papers/gu-2023-minillm-policy-distillation-large-language/) — Yuxian Gu, Li Dong, Furu Wei, et al. · 2023
- [Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting](https://md.research.elamur.ai/free/en/papers/huang-2023-all-languages-created-equal-llms/) — Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al. · 2023
- [Query2doc: Query Expansion with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-query2doc-query-expansion-large-language/) — Liang Wang, Nan Yang, Furu Wei · 2023
- [Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration](https://md.research.elamur.ai/free/en/papers/wang-2023-unleashing-emergent-cognitive-synergy-large/) — Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al. · 2023
- [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/) — Damai Dai, Yutao Sun, Li Dong, et al. · 2023
- [LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking](https://md.research.elamur.ai/free/en/papers/huang-2022-layoutlmv3-pre-training-document-ai/) — Yupan Huang, Tengchao Lv, Lei Cui, et al. · 2022
- [Text Embeddings by Weakly-Supervised Contrastive Pre-training](https://md.research.elamur.ai/free/en/papers/wang-2022-text-embeddings-weakly-supervised-contrastive/) — Liang Wang, Nan Yang, Xiaolong Huang, et al. · 2022
- [LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding](https://md.research.elamur.ai/free/en/papers/xu-2021-layoutlmv2-multi-modal-pre-training/) — Yang Xu, Yiheng Xu, Tengchao Lv, et al. · 2021
- [InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training](https://md.research.elamur.ai/free/en/papers/chi-2020-infoxlm-information-theoretic-framework-cross/) — Zewen Chi, Li Dong, Furu Wei, et al. · 2020
- [Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-oscar-object-semantics-aligned-pre/) — Xiujun Li, Xi Yin, Chunyuan Li, et al. · 2020
- [UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training](https://md.research.elamur.ai/free/en/papers/bao-2020-unilmv2-pseudo-masked-language-models/) — Hangbo Bao, Li Dong, Furu Wei, et al. · 2020
- [HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2019-hibert-document-level-pre-training/) — Xingxing Zhang, Furu Wei, Ming Zhou · 2019
- [LayoutLM: Pre-training of Text and Layout for Document Image Understanding](https://md.research.elamur.ai/free/en/papers/xu-2019-layoutlm-pre-training-text-layout/) — Yiheng Xu, Minghao Li, Lei Cui, et al. · 2019
- [Unified Language Model Pre-training for Natural Language Understanding and Generation](https://md.research.elamur.ai/free/en/papers/dong-2019-unified-language-model-pre-training/) — Li Dong, Nan Yang, Wenhui Wang, et al. · 2019
- [VL-BERT: Pre-training of Generic Visual-Linguistic Representations](https://md.research.elamur.ai/free/en/papers/su-2019-vl-bert-pre-training-generic/) — Weijie Su, Xizhou Zhu, Yue Cao, et al. · 2019
- [Neural Document Summarization by Jointly Learning to Score and Select Sentences](https://md.research.elamur.ai/free/en/papers/zhou-2018-neural-document-summarization-jointly-learning/) — Qingyu Zhou, Nan Yang, Furu Wei, et al. · 2018
- [Gated Self-Matching Networks for Reading Comprehension and Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2017-gated-self-matching-networks-reading/) — Wenhui Wang, Nan Yang, Furu Wei, et al. · 2017
- [Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/dong-2014-adaptive-recursive-neural-network-target/) — Li Dong, Furu Wei, Chuanqi Tan, et al. · 2014
- [Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2014-learning-sentiment-specific-word-embedding/) — Duyu Tang, Furu Wei, Nan Yang, et al. · 2014