Liang Wang

Senior Researcher

出版物

表示方法:

- Chain-of-Retrieval Augmented Generation
  
  Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Examining False Positives under Inference Scaling for Mathematical Reasoning
  
  Yu Wang, Nan Yang, Liang Wang, Furu Wei
  
  MSR-TR-2025-2 | February 2025
  
  Microsoft による投稿
  
  Publication
- Bootstrap Your Own Context Length
  
  Liang Wang, Nan Yang, Xingxing Zhang, Xiaolong Huang, Furu Wei
  
  ArXiv | December 2024, 巻abs/2412.18860
  
  DOI Publication Publication
- Little Giants: Synthesizing High-Quality Embedding Data at Scale
  
  Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou
  
  NAACL 2025 | October 2024
  
  DOI Publication Publication
- LongEmbed: Extending Embedding Models for Long Context Retrieval
  
  Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li
  
  EMNLP 2024 | April 2024
  
  DOI Publication Publication
- Generative Representational Instruction Tuning
  
  Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela
  
  ICLR 2025 | February 2024
  
  DOI Publication Publication
- Multilingual E5 Text Embeddings: A Technical Report
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  MSR-TR-2024-45 | February 2024
  
  Microsoft による投稿
  
  DOI Publication Publication Github
- Improving Text Embeddings with Large Language Models
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  ACL 2024 | January 2024
  
  Preprint
- Large Search Model: Redefining Search Stack in the Era of LLMs
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  SIGIR Forum | December 2023, 巻57(2)
  
  Publication
- Fine-Tuning LLaMA for Multi-Stage Text Retrieval
  
  Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin
  
  SIGIR 2024 | October 2023
  
  PDF
- PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
  
  Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li
  
  ICLR 2024 | October 2023
  
  Publication
- Generative Retrieval for Conversational Question Answering
  
  Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
  
  Information Processing and Management | August 2023, 巻60(5)
  
  Publication
- Learning to Retrieve In-Context Examples for Large Language Models
  
  Liang Wang, Nan Yang, Furu Wei
  
  EACL 2024 | July 2023
  
  Publication
- Learning to Rank in Generative Retrieval
  
  Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
  
  AAAI 2024 | June 2023
  
  Publication
- Multiview Identifiers Enhanced Generative Retrieval
  
  Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
  
  ACL 2023 | May 2023
  
  Publication
- Inference with Reference: Lossless Acceleration of Large Language Models
  
  Nan Yang, Tao Ge, Liang Wang, Binxing Jiao, Daxin Jiang (姜大昕), Linjun Yang, Rangan Majumder, Furu Wei
  
  MSR-TR-2023-17 | April 2023
  
  Microsoft による投稿
  
  Publication
- Query2doc: Query Expansion with Large Language Models
  
  Liang Wang, Nan Yang, Furu Wei
  
  EMNLP 2023 | March 2023
  
  Publication
- Text Embeddings by Weakly-Supervised Contrastive Pre-training
  
  Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang (姜大昕), Rangan Majumder, Furu Wei
  
  December 2022
  
  Publication
- Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval
  
  Zehan Li, Nan Yang, Liang Wang, Furu Wei
  
  August 2022
  
  Publication
- SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
  
  Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang (姜大昕), Rangan Majumder, Furu Wei
  
  ACL 2023 | July 2022
  
  Publication
- SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
  
  Liang Wang, Wei Zhao, Zhuoyu Wei, Jingming Liu
  
  ACL 2022 | May 2022
  
  Publication

- Chain-of-Retrieval Augmented Generation
  
  Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Examining False Positives under Inference Scaling for Mathematical Reasoning
  
  Yu Wang, Nan Yang, Liang Wang, Furu Wei
  
  MSR-TR-2025-2 | February 2025
  
  Microsoft による投稿
  
  Publication
- Bootstrap Your Own Context Length
  
  Liang Wang, Nan Yang, Xingxing Zhang, Xiaolong Huang, Furu Wei
  
  ArXiv | December 2024, 巻abs/2412.18860
  
  DOI Publication Publication
- Little Giants: Synthesizing High-Quality Embedding Data at Scale
  
  Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou
  
  NAACL 2025 | October 2024
  
  DOI Publication Publication
- LongEmbed: Extending Embedding Models for Long Context Retrieval
  
  Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li
  
  EMNLP 2024 | April 2024
  
  DOI Publication Publication
- Generative Representational Instruction Tuning
  
  Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela
  
  ICLR 2025 | February 2024
  
  DOI Publication Publication
- Improving Text Embeddings with Large Language Models
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  ACL 2024 | January 2024
  
  Preprint
- Large Search Model: Redefining Search Stack in the Era of LLMs
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  SIGIR Forum | December 2023, 巻57(2)
  
  Publication
- Fine-Tuning LLaMA for Multi-Stage Text Retrieval
  
  Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin
  
  SIGIR 2024 | October 2023
  
  PDF
- PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
  
  Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li
  
  ICLR 2024 | October 2023
  
  Publication
- Generative Retrieval for Conversational Question Answering
  
  Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
  
  Information Processing and Management | August 2023, 巻60(5)
  
  Publication
- Learning to Retrieve In-Context Examples for Large Language Models
  
  Liang Wang, Nan Yang, Furu Wei
  
  EACL 2024 | July 2023
  
  Publication
- Learning to Rank in Generative Retrieval
  
  Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
  
  AAAI 2024 | June 2023
  
  Publication
- Multiview Identifiers Enhanced Generative Retrieval
  
  Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
  
  ACL 2023 | May 2023
  
  Publication
- Inference with Reference: Lossless Acceleration of Large Language Models
  
  Nan Yang, Tao Ge, Liang Wang, Binxing Jiao, Daxin Jiang (姜大昕), Linjun Yang, Rangan Majumder, Furu Wei
  
  MSR-TR-2023-17 | April 2023
  
  Microsoft による投稿
  
  Publication
- Query2doc: Query Expansion with Large Language Models
  
  Liang Wang, Nan Yang, Furu Wei
  
  EMNLP 2023 | March 2023
  
  Publication
- Text Embeddings by Weakly-Supervised Contrastive Pre-training
  
  Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang (姜大昕), Rangan Majumder, Furu Wei
  
  December 2022
  
  Publication
- Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval
  
  Zehan Li, Nan Yang, Liang Wang, Furu Wei
  
  August 2022
  
  Publication
- SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
  
  Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang (姜大昕), Rangan Majumder, Furu Wei
  
  ACL 2023 | July 2022
  
  Publication
- SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
  
  Liang Wang, Wei Zhao, Zhuoyu Wei, Jingming Liu
  
  ACL 2022 | May 2022
  
  Publication
- Chain-of-Retrieval Augmented Generation
  
  Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Little Giants: Synthesizing High-Quality Embedding Data at Scale
  
  Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou
  
  NAACL 2025 | October 2024
  
  DOI Publication Publication
- LongEmbed: Extending Embedding Models for Long Context Retrieval
  
  Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li
  
  EMNLP 2024 | April 2024
  
  DOI Publication Publication
- Generative Representational Instruction Tuning
  
  Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela
  
  ICLR 2025 | February 2024
  
  DOI Publication Publication
- Improving Text Embeddings with Large Language Models
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  ACL 2024 | January 2024
  
  Preprint
- Large Search Model: Redefining Search Stack in the Era of LLMs
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  SIGIR Forum | December 2023, 巻57(2)
  
  Publication
- Fine-Tuning LLaMA for Multi-Stage Text Retrieval
  
  Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin
  
  SIGIR 2024 | October 2023
  
  PDF
- Text Embeddings by Weakly-Supervised Contrastive Pre-training
  
  Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang (姜大昕), Rangan Majumder, Furu Wei
  
  December 2022
  
  Publication
- Multilingual E5 Text Embeddings: A Technical Report
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  MSR-TR-2024-45 | February 2024
  
  Microsoft による投稿
  
  DOI Publication Publication Github

- Examining False Positives under Inference Scaling for Mathematical Reasoning
  
  Yu Wang, Nan Yang, Liang Wang, Furu Wei
  
  MSR-TR-2025-2 | February 2025
  
  Microsoft による投稿
  
  Publication
- Multilingual E5 Text Embeddings: A Technical Report
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  MSR-TR-2024-45 | February 2024
  
  Microsoft による投稿
  
  DOI Publication Publication Github
- Inference with Reference: Lossless Acceleration of Large Language Models
  
  Nan Yang, Tao Ge, Liang Wang, Binxing Jiao, Daxin Jiang (姜大昕), Linjun Yang, Rangan Majumder, Furu Wei
  
  MSR-TR-2023-17 | April 2023
  
  Microsoft による投稿
  
  Publication
- Chain-of-Retrieval Augmented Generation
  
  Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Little Giants: Synthesizing High-Quality Embedding Data at Scale
  
  Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou
  
  NAACL 2025 | October 2024
  
  DOI Publication Publication
- LongEmbed: Extending Embedding Models for Long Context Retrieval
  
  Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li
  
  EMNLP 2024 | April 2024
  
  DOI Publication Publication
- Generative Representational Instruction Tuning
  
  Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela
  
  ICLR 2025 | February 2024
  
  DOI Publication Publication
- Improving Text Embeddings with Large Language Models
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  ACL 2024 | January 2024
  
  Preprint
- Fine-Tuning LLaMA for Multi-Stage Text Retrieval
  
  Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin
  
  SIGIR 2024 | October 2023
  
  PDF
- PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
  
  Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li
  
  ICLR 2024 | October 2023
  
  Publication
- Learning to Retrieve In-Context Examples for Large Language Models
  
  Liang Wang, Nan Yang, Furu Wei
  
  EACL 2024 | July 2023
  
  Publication
- Learning to Rank in Generative Retrieval
  
  Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
  
  AAAI 2024 | June 2023
  
  Publication
- Multiview Identifiers Enhanced Generative Retrieval
  
  Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
  
  ACL 2023 | May 2023
  
  Publication
- Query2doc: Query Expansion with Large Language Models
  
  Liang Wang, Nan Yang, Furu Wei
  
  EMNLP 2023 | March 2023
  
  Publication
- Text Embeddings by Weakly-Supervised Contrastive Pre-training
  
  Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang (姜大昕), Rangan Majumder, Furu Wei
  
  December 2022
  
  Publication
- SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
  
  Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang (姜大昕), Rangan Majumder, Furu Wei
  
  ACL 2023 | July 2022
  
  Publication
- SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
  
  Liang Wang, Wei Zhao, Zhuoyu Wei, Jingming Liu
  
  ACL 2022 | May 2022
  
  Publication
- Bootstrap Your Own Context Length
  
  Liang Wang, Nan Yang, Xingxing Zhang, Xiaolong Huang, Furu Wei
  
  ArXiv | December 2024, 巻abs/2412.18860
  
  DOI Publication Publication
- Large Search Model: Redefining Search Stack in the Era of LLMs
  
  Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
  
  SIGIR Forum | December 2023, 巻57(2)
  
  Publication
- Generative Retrieval for Conversational Question Answering
  
  Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
  
  Information Processing and Management | August 2023, 巻60(5)
  
  Publication
- Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval
  
  Zehan Li, Nan Yang, Liang Wang, Furu Wei
  
  August 2022
  
  Publication

Liang Wang

出版物

Chain-of-Retrieval Augmented Generation

Examining False Positives under Inference Scaling for Mathematical Reasoning

Bootstrap Your Own Context Length

Little Giants: Synthesizing High-Quality Embedding Data at Scale

LongEmbed: Extending Embedding Models for Long Context Retrieval

Generative Representational Instruction Tuning

Multilingual E5 Text Embeddings: A Technical Report

Improving Text Embeddings with Large Language Models

Large Search Model: Redefining Search Stack in the Era of LLMs

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Generative Retrieval for Conversational Question Answering

Learning to Retrieve In-Context Examples for Large Language Models

Learning to Rank in Generative Retrieval

Multiview Identifiers Enhanced Generative Retrieval

Inference with Reference: Lossless Acceleration of Large Language Models

Query2doc: Query Expansion with Large Language Models

Text Embeddings by Weakly-Supervised Contrastive Pre-training

Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

Chain-of-Retrieval Augmented Generation

Examining False Positives under Inference Scaling for Mathematical Reasoning

Bootstrap Your Own Context Length

Little Giants: Synthesizing High-Quality Embedding Data at Scale

LongEmbed: Extending Embedding Models for Long Context Retrieval

Generative Representational Instruction Tuning

Improving Text Embeddings with Large Language Models

Large Search Model: Redefining Search Stack in the Era of LLMs

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Generative Retrieval for Conversational Question Answering

Learning to Retrieve In-Context Examples for Large Language Models

Learning to Rank in Generative Retrieval

Multiview Identifiers Enhanced Generative Retrieval

Inference with Reference: Lossless Acceleration of Large Language Models

Query2doc: Query Expansion with Large Language Models

Text Embeddings by Weakly-Supervised Contrastive Pre-training

Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

Chain-of-Retrieval Augmented Generation

Little Giants: Synthesizing High-Quality Embedding Data at Scale

LongEmbed: Extending Embedding Models for Long Context Retrieval

Generative Representational Instruction Tuning

Improving Text Embeddings with Large Language Models

Large Search Model: Redefining Search Stack in the Era of LLMs

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Text Embeddings by Weakly-Supervised Contrastive Pre-training

Multilingual E5 Text Embeddings: A Technical Report

Examining False Positives under Inference Scaling for Mathematical Reasoning

Multilingual E5 Text Embeddings: A Technical Report

Inference with Reference: Lossless Acceleration of Large Language Models

Chain-of-Retrieval Augmented Generation

Little Giants: Synthesizing High-Quality Embedding Data at Scale

LongEmbed: Extending Embedding Models for Long Context Retrieval

Generative Representational Instruction Tuning

Improving Text Embeddings with Large Language Models

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Learning to Retrieve In-Context Examples for Large Language Models

Learning to Rank in Generative Retrieval

Multiview Identifiers Enhanced Generative Retrieval

Query2doc: Query Expansion with Large Language Models

Text Embeddings by Weakly-Supervised Contrastive Pre-training

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

Bootstrap Your Own Context Length

Large Search Model: Redefining Search Stack in the Era of LLMs

Generative Retrieval for Conversational Question Answering

Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval