Furu Wei19 papers on this site (2019–2024)Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024Improving Text Embeddings with Large Language ModelsLiang Wang, Nan Yang, Xiaolong Huang, et al.2024Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language ModelsTianyi Tang, Wenyang Luo, Haoyang Huang, et al.2024Multilingual E5 Text Embeddings: A Technical ReportLiang Wang, Nan Yang, Xiaolong Huang, et al.2024Fine-Tuning LLaMA for Multi-Stage Text RetrievalXueguang Ma, Liang Wang, Nan Yang, et al.2023Kosmos-2: Grounding Multimodal Large Language Models to the WorldZhiliang Peng, Wenhui Wang, Li Dong, et al.2023MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingHaoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023Query2doc: Query Expansion with Large Language ModelsLiang Wang, Nan Yang, Furu Wei2023Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationZhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.2023LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingYupan Huang, Tengchao Lv, Lei Cui, et al.2022Text Embeddings by Weakly-Supervised Contrastive Pre-trainingLiang Wang, Nan Yang, Xiaolong Huang, et al.2022LayoutLMv2: Multi-modal Pre-training for Visually-rich Document UnderstandingYang Xu, Yiheng Xu, Tengchao Lv, et al.2021InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-TrainingZewen Chi, Li Dong, Furu Wei, et al.2020Oscar: Object-Semantics Aligned Pre-training for Vision-Language TasksXiujun Li, Xi Yin, Chunyuan Li, et al.2020UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingHangbo Bao, Li Dong, Furu Wei, et al.2020LayoutLM: Pre-training of Text and Layout for Document Image UnderstandingYiheng Xu, Minghao Li, Lei Cui, et al.2019Unified Language Model Pre-training for Natural Language Understanding and GenerationLi Dong, Nan Yang, Wenhui Wang, et al.2019VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsWeijie Su, Xizhou Zhu, Yue Cao, et al.2019