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Shitao Xiao
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2020 – today
- 2024
- [c21]Jianlyu Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu:
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. ACL (Findings) 2024: 2318-2335 - [c20]Shitao Xiao, Zheng Liu, Peitian Zhang, Xingrun Xing:
LM-Cocktail: Resilient Tuning of Language Models via Model Merging. ACL (Findings) 2024: 2474-2488 - [c19]Junjie Zhou, Zheng Liu, Shitao Xiao, Bo Zhao, Yongping Xiong:
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval. ACL (1) 2024: 3185-3200 - [c18]Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu:
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. ACL (1) 2024: 3268-3281 - [c17]Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian:
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. ACL (1) 2024: 3490-3500 - [c16]Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jian-Yun Nie:
A Multi-Task Embedder For Retrieval Augmented LLMs. ACL (1) 2024: 3537-3553 - [c15]Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu:
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. EMNLP 2024: 1354-1365 - [c14]Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li:
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. ICML 2024 - [c13]Shitao Xiao
, Zheng Liu
C-Pack: Packed Resources For General Chinese Embeddings. SIGIR 2024: 641-649 - [i27]Peitian Zhang, Zheng Liu
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon. CoRR abs/2401.03462 (2024) - [i26]Ninglu Shao, Shitao Xiao, Zheng Liu
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization. CoRR abs/2401.07793 (2024) - [i25]Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. CoRR abs/2402.03216 (2024) - [i24]Kun Luo, Zheng Liu
BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. CoRR abs/2402.11573 (2024) - [i23]Ninglu Shao, Shitao Xiao, Zheng Liu
Extensible Embedding: A Flexible Multipler For LLM's Context Length. CoRR abs/2402.11577 (2024) - [i22]Peitian Zhang, Ninglu Shao, Zheng Liu, Shitao Xiao, Hongjin Qian, Qiwei Ye, Zhicheng Dou:
Extending Llama-3's Context Ten-Fold Overnight. CoRR abs/2404.19553 (2024) - [i21]Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li:
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. CoRR abs/2406.03287 (2024) - [i20]Junjie Zhou, Yan Shu, Bo Zhao, Boya Wu, Shitao Xiao, Xi Yang, Yongping Xiong, Bo Zhang, Tiejun Huang, Zheng Liu:
MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding. CoRR abs/2406.04264 (2024) - [i19]Junjie Zhou, Zheng Liu, Shitao Xiao, Bo Zhao, Yongping Xiong:
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval. CoRR abs/2406.04292 (2024) - [i18]Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang:
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. CoRR abs/2407.04752 (2024) - [i17]Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu:
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. CoRR abs/2408.12194 (2024) - [i16]Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Shuting Wang, Tiejun Huang, Zheng Liu:
OmniGen: Unified Image Generation. CoRR abs/2409.11340 (2024) - [i15]Zheng Liu, Chenyuan Wu, Ninglu Shao, Shitao Xiao, Chaozhuo Li, Defu Lian:
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. CoRR abs/2409.15699 (2024) - [i14]Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Yingxia Shao, Defu Lian, Zheng Liu:
Making Text Embedders Few-Shot Learners. CoRR abs/2409.15700 (2024) - 2023
- [c12]Zheng Liu, Shitao Xiao, Yingxia Shao, Zhao Cao:
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. ACL (1) 2023: 2635-2648 - [c11]Zihong Wang
Diversity-aware Deep Ranking Network for Recommendation. CIKM 2023: 2564-2573 - [c10]Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jing Yao:
Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval. EMNLP 2023: 1877-1888 - [c9]Chaofan Li
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR 2023: 3095-3099 - [i13]Shitao Xiao, Zheng Liu
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. CoRR abs/2305.02564 (2023) - [i12]Shitao Xiao, Zheng Liu
C-Pack: Packaged Resources To Advance General Chinese Embedding. CoRR abs/2309.07597 (2023) - [i11]Peitian Zhang, Shitao Xiao, Zheng Liu
Retrieve Anything To Augment Large Language Models. CoRR abs/2310.07554 (2023) - [i10]Shitao Xiao, Zheng Liu
LM-Cocktail: Resilient Tuning of Language Models via Model Merging. CoRR abs/2311.13534 (2023) - [i9]Chaofan Li, Zheng Liu
Making Large Language Models A Better Foundation For Dense Retrieval. CoRR abs/2312.15503 (2023) - 2022
- [j2]Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin
LECF: recommendation via learnable edge collaborative filtering. Sci. China Inf. Sci. 65(1) (2022) - [j1]Wei Ou, Shitao Xiao, Chengyu Zhu, Wenbao Han, Qionglu Zhang:
An overview of brain-like computing: Architecture, applications, and future trends. Frontiers Neurorobotics 16 (2022) - [c8]Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao:
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. EMNLP 2022: 538-548 - [c7]Shitao Xiao, Zheng Liu
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD 2022: 4215-4225 - [c6]Jianjin Zhang, Zheng Liu
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD 2022: 4493-4501 - [c5]Shitao Xiao, Zheng Liu
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR 2022: 1513-1523 - [c4]Shitao Xiao, Zheng Liu
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW 2022: 286-296 - [c3]Xufang Luo, Zheng Liu
MINDSim: User Simulator for News Recommenders. WWW 2022: 2067-2077 - [i8]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR abs/2201.05409 (2022) - [i7]Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie:
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. CoRR abs/2202.06212 (2022) - [i6]Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie:
A Mutually Reinforced Framework for Pretrained Sentence Embeddings. CoRR abs/2202.13802 (2022) - [i5]Shitao Xiao, Zheng Liu
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR abs/2204.00185 (2022) - [i4]Shitao Xiao, Zheng Liu
RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. CoRR abs/2211.08769 (2022) - 2021
- [c2]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Matching-oriented Embedding Quantization For Ad-hoc Retrieval. EMNLP (1) 2021: 8119-8129 - [c1]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. NeurIPS 2021: 28798-28810 - [i3]Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie:
Training Microsoft News Recommenders with Pretrained Language Models in the Loop. CoRR abs/2102.09268 (2021) - [i2]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Search-oriented Differentiable Product Quantization. CoRR abs/2104.07858 (2021) - [i1]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Language Models for Linked Text Representation. CoRR abs/2105.02605 (2021)
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last updated on 2024-11-15 19:31 CET by the dblp team
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