Matching-oriented Embedding Quantization For Ad-hoc Retrieval. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Defu Lian; Xing Xie 001 (EMNLP (1), 2021)

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. - Junhan Yang; Zheng Liu 011; Shitao Xiao; Chaozhuo Li; Defu Lian; Sanjay Agrawal 001; Amit Singh; Guangzhong Sun; Xing Xie 001 (NeurIPS, 2021)

Training Microsoft News Recommenders with Pretrained Language Models in the Loop. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Tao Di; Xing Xie 001 (CoRR, 2021)

Search-oriented Differentiable Product Quantization. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Defu Lian; Xing Xie 001 (CoRR, 2021)

GraphFormers: GNN-nested Language Models for Linked Text Representation. - Junhan Yang; Zheng Liu 011; Shitao Xiao; Chaozhuo Li; Guangzhong Sun; Xing Xie 001 (CoRR, 2021)

RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Zhao Cao (EMNLP, 2022)

Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Tao Di; Bhuvan Middha; Fangzhao Wu; Xing Xie 001 (KDD, 2022)

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. - Jianjin Zhang; Zheng Liu 011; Weihao Han; Shitao Xiao; Ruicheng Zheng; Yingxia Shao; Hao Sun 015; Hanqing Zhu; Premkumar Srinivasan; Weiwei Deng; Qi Zhang 066; Xing Xie 001 (KDD, 2022)

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Defu Lian; Yeyun Gong; Qi Chen 009; Fan Yang 024; Hao Sun 015; Yingxia Shao; Xing Xie 001 (SIGIR, 2022)

MINDSim: User Simulator for News Recommenders. - Xufang Luo; Zheng Liu 011; Shitao Xiao; Xing Xie 001; Dongsheng Li 002 (WWW, 2022)

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Yingxia Shao; Defu Lian; Chaozhuo Li; Hao Sun 015; Denvy Deng; Liangjie Zhang; Qi Zhang 066; Xing Xie 001 (WWW, 2022)

LECF: recommendation via learnable edge collaborative filtering. - Shitao Xiao; Yingxia Shao; Yawen Li 001; Hongzhi Yin; Yanyan Shen; Bin Cui 001 (Sci. China Inf. Sci., 2022)

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. - Jianjin Zhang; Zheng Liu 011; Weihao Han; Shitao Xiao; Ruicheng Zheng; Yingxia Shao; Hao Sun 015; Hanqing Zhu; Premkumar Srinivasan; Denvy Deng; Qi Zhang 066; Xing Xie 001 (CoRR, 2022)

A Mutually Reinforced Framework for Pretrained Sentence Embeddings. - Junhan Yang; Zheng Liu 011; Shitao Xiao; Jianxun Lian; Lijun Wu; Defu Lian; Guangzhong Sun; Xing Xie 001 (CoRR, 2022)

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Defu Lian; Yeyun Gong; Qi Chen 009; Fan Yang 024; Hao Sun 015; Yingxia Shao; Denvy Deng; Qi Zhang 001; et al. (CoRR, 2022)

RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. - Shitao Xiao; Zheng Liu 011 (CoRR, 2022)

An overview of brain-like computing: Architecture, applications, and future trends. - Wei Ou; Shitao Xiao; Chengyu Zhu; Wenbao Han; Qionglu Zhang (Frontiers Neurorobotics, 2022)

RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. - Zheng Liu 011; Shitao Xiao; Yingxia Shao; Zhao Cao (ACL (1), 2023)

Diversity-aware Deep Ranking Network for Recommendation. - Zihong Wang; Yingxia Shao; Jiyuan He; Jinbao Liu; Shitao Xiao; Tao Feng; Ming Liu (CIKM, 2023)

Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Zhicheng Dou; Jing Yao (EMNLP, 2023)

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. - Chaofan Li; Zheng Liu 011; Shitao Xiao; Yingxia Shao; Defu Lian; Zhao Cao (SIGIR, 2023)

C-Pack: Packaged Resources To Advance General Chinese Embedding. - Shitao Xiao; Zheng Liu 011; Peitian Zhang; Niklas Muennighoff (CoRR, 2023)

Retrieve Anything To Augment Large Language Models. - Peitian Zhang; Shitao Xiao; Zheng Liu 011; Zhicheng Dou; Jian-Yun Nie (CoRR, 2023)

Making Large Language Models A Better Foundation For Dense Retrieval. - Chaofan Li; Zheng Liu 011; Shitao Xiao; Yingxia Shao (CoRR, 2023)

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. - Jianlyu Chen; Shitao Xiao; Peitian Zhang; Kun Luo; Defu Lian; Zheng Liu 011 (ACL (Findings), 2024)

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. - Chaofan Li; Zheng Liu 011; Shitao Xiao; Yingxia Shao; Defu Lian (ACL (1), 2024)

Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. - Kun Luo; Zheng Liu 011; Shitao Xiao; Tong Zhou; Yubo Chen 001; Jun Zhao 001; Kang Liu 001 (ACL (1), 2024)

LM-Cocktail: Resilient Tuning of Language Models via Model Merging. - Shitao Xiao; Zheng Liu 011; Peitian Zhang; Xingrun Xing (ACL (Findings), 2024)

A Multi-Task Embedder For Retrieval Augmented LLMs. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Zhicheng Dou; Jian-Yun Nie (ACL (1), 2024)

VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval. - Junjie Zhou 001; Zheng Liu 011; Shitao Xiao; Bo Zhao 015; Yongping Xiong (ACL (1), 2024)

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. - Kun Luo; Minghao Qin; Zheng Liu 011; Shitao Xiao; Jun Zhao 001; Kang Liu 001 (EMNLP, 2024)

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. - Xingrun Xing; Zheng Zhang 006; Ziyi Ni; Shitao Xiao; Yiming Ju; Siqi Fan 001; Yequan Wang; Jiajun Zhang; Guoqi Li (ICML, 2024)

C-Pack: Packed Resources For General Chinese Embeddings. - Shitao Xiao; Zheng Liu 011; Peitian Zhang; Niklas Muennighoff; Defu Lian; Jian-Yun Nie (SIGIR, 2024)

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Ninglu Shao; Qiwei Ye; Zhicheng Dou (CoRR, 2024)

Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization. - Ninglu Shao; Shitao Xiao; Zheng Liu 011; Peitian Zhang (CoRR, 2024)

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. - Jianlv Chen; Shitao Xiao; Peitian Zhang; Kun Luo; Defu Lian; Zheng Liu 011 (CoRR, 2024)

BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. - Kun Luo; Zheng Liu 011; Shitao Xiao; Kang Liu 001 (CoRR, 2024)

Extensible Embedding: A Flexible Multipler For LLM's Context Length. - Ninglu Shao; Shitao Xiao; Zheng Liu 011; Peitian Zhang (CoRR, 2024)

Extending Llama-3's Context Ten-Fold Overnight. - Peitian Zhang; Ninglu Shao; Zheng Liu 011; Shitao Xiao; Hongjin Qian; Qiwei Ye; Zhicheng Dou (CoRR, 2024)

MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding. - Junjie Zhou 001; Yan Shu; Bo Zhao 015; Boya Wu; Shitao Xiao; Xi Yang; Yongping Xiong; Bo Zhang; Tiejun Huang 001; Zheng Liu 011 (CoRR, 2024)

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. - Xingrun Xing; Boyan Gao; Zheng Zhang; David A. Clifton; Shitao Xiao; Li Du; Guoqi Li; Jiajun Zhang (CoRR, 2024)

OmniGen: Unified Image Generation. - Shitao Xiao; Yueze Wang; Junjie Zhou 001; Huaying Yuan; Xingrun Xing; Ruiran Yan; Shuting Wang 002; Tiejun Huang 003; Zheng Liu 011 (CoRR, 2024)

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. - Zheng Liu 011; Chenyuan Wu; Ninglu Shao; Shitao Xiao; Chaozhuo Li; Defu Lian (CoRR, 2024)

MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval. - Junjie Zhou 001; Yongping Xiong; Zheng Liu 011; Ze Liu; Shitao Xiao; Yueze Wang; Bo Zhao 015; Chen Jason Zhang; Defu Lian (ACL (1), 2025)

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark. - Jianlyu Chen; Nan Wang; Chaofan Li; Bo Wang; Shitao Xiao; Han Xiao; Hao Liao; Defu Lian; Zheng Liu 011 (ACL (1), 2025)

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval. - Zheng Liu 011; Ze Liu; Zhengyang Liang; Junjie Zhou 001; Shitao Xiao; Chao Gao; Chen Jason Zhang; Defu Lian (ACL (1), 2025)

FineRAG: Fine-grained Retrieval-Augmented Text-to-Image Generation. - Huaying Yuan; Ziliang Zhao; Shuting Wang 002; Shitao Xiao; Minheng Ni; Zheng Liu 011; Zhicheng Dou (COLING, 2025)

MLVU: Benchmarking Multi-task Long Video Understanding. - Junjie Zhou 001; Yan Shu; Bo Zhao 015; Boya Wu; Zhengyang Liang; Shitao Xiao; Minghao Qin; Xi Yang; Yongping Xiong; Bo Zhang; Tiejun Huang 001; Zheng Liu 011 (CVPR, 2025)

OmniGen: Unified Image Generation. - Shitao Xiao; Yueze Wang; Junjie Zhou 001; Huaying Yuan; Xingrun Xing; Ruiran Yan; Chaofan Li; Shuting Wang 002; Tiejun Huang 003; Zheng Liu 011 (CVPR, 2025)

Making Text Embedders Few-Shot Learners. - Chaofan Li; Minghao Qin; Shitao Xiao; Jianlyu Chen; Kun Luo; Defu Lian; Yingxia Shao; Zheng Liu 011 (ICLR, 2025)

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. - Xingrun Xing; Boyan Gao; Zheng Liu; David A. Clifton; Shitao Xiao; Wanpeng Zhang 002; Li Du; Zheng Zhang; Guoqi Li; Jiajun Zhang (ICLR, 2025)

Long Context Compression with Activation Beacon. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Ninglu Shao; Qiwei Ye; Zhicheng Dou (ICLR, 2025)

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. - Chenyuan Wu; Ninglu Shao; Zheng Liu 011; Shitao Xiao; Chaozhuo Li; Chen Zhang 013; Senzhang Wang; Defu Lian (WSDM, 2025)

Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. - Zheng Liu 011; Chaofan Li; Shitao Xiao; Chaozhuo Li; Chen Jason Zhang; Hao Liao; Defu Lian; Yingxia Shao (WWW, 2025)

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width. - Zheng Liu 011; Chaofan Li; Shitao Xiao; Chaozhuo Li; Defu Lian; Yingxia Shao (CoRR, 2025)

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models. - Xingrun Xing; Zheng Liu; Shitao Xiao; Boyan Gao; Yiming Liang; Wanpeng Zhang 002; Haokun Lin; Guoqi Li; Jiajun Zhang (CoRR, 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)

OmniGen2: Exploration to Advanced Multimodal Generation. - Chenyuan Wu; Pengfei Zheng; Ruiran Yan; Shitao Xiao; Xin Luo; Yueze Wang; Wanli Li; Xiyan Jiang; Yexin Liu; Junjie Zhou 001; Ze Liu; Ziyi Xia; et al. (CoRR, 2025)

Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification. - Minghao Qin; Xiangrui Liu; Zhengyang Liang; Yan Shu; Huaying Yuan; Junjie Zhou 001; Shitao Xiao; Bo Zhao 015; Zheng Liu 011 (CoRR, 2025)

Task-Aware KV Compression For Cost-Effective Long Video Understanding. - Minghao Qin; Yan Shu; Peitian Zhang; Kun Lun; Huaying Yuan; Junjie Zhou 001; Shitao Xiao; Bo Zhao 015; Zheng Liu 011 (CoRR, 2025)