AI Memory Research Group - Microsoft Research: Publications

AI Memory Research Group (Asia)

出版物

表示方法:

- MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory
  
  Beidi Zhao, Yaoqi Chen, Yuru Feng, Menghao Li, Qianxi Zhang, Baotong Lu, Jianan Lu, Zilong Wang, Xinjiang Wang, Shusen Xu, Zengzhong Li, Xiaoxiao Li, Qi Chen
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation
  
  Yuru Feng, Yaoqi Chen, Beidi Zhao, Qianxi Zhang, Xinjiang Wang, Jianan Lu, Zilong Wang, Shusen Xu, Zengzhong Li, Qi Chen
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- TriggerBench: Investigating Prospective Memory for Large Language Models
  
  Tianhua Zhang, Xinjiang Wang, Qianxi Zhang, Qi Chen, Kun Li, Yaoqi Chen, Dingdong Wang, Helen M. Meng, Yanchun Lu
  
  June 2026
  
  Publication
- Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents
  
  Yaoqi Chen, Haibin Lai, Yuru Feng, Chuyu Han, Qianxi Zhang, Baotong Lu, Menghao Li, Xinjiang Wang, Zilong Wang, Shusen Xu, Zengzhong Li, Zewen Jin, Hao Wu, Cheng Li, Qi Chen
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Aker: Density-Aware Approximate Caching for Vector Search
  
  Sukjoon Oh, Minki Kang, Dohyun Kim, Baotong Lu, Jing Liu, Qianxi Zhang, Qi Chen, Youjip Won
  
  Proceedings of the VLDB Endowment | June 2026
  
  Publication Publication
- Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving
  
  Zihan Zhao, Baotong Lu, Shengjie Lin, Yizou Chen, Jing Liu, Yanqi Zhang, Ziming Miao, Ming-Chang Yang, Haiying Shen, Qi Chen, Fan Yang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Scalable Distributed Vector Search via Accuracy Preserving Index Construction
  
  Yuming Xu, Qianxi Zhang, Qi Chen, Baotong Lu, Menghao Li, Philip Adams, Mingqin Li, Zengzhong Li, Jing Liu, Cheng Li, Fan Yang
  
  December 2025
  
  arXiv | December 2025
  
  Publication
- CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA
  
  Xiangyu Zhi, Meng Chen, Xiao Yan, Baotong Lu, Hui Li, Qianxi Zhang, Qi Chen, James Cheng
  
  Proceedings of the ACM on Management of Data | July 2025, 巻4: pp. 1-27
  
  DOI Publication Publication
- RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference
  
  Yaoqi Chen, Jin-Kang Zhang, Baotong Lu, Qianxi Zhang, Cheng Zhang, Jing Liu, Jingjia Luo, Di Liu, Huiqiang Jiang, Qi Chen, Bailu Ding, Xiao Yan, Jiawei Jiang, Chen Chen, Mingxing Zhang, Cheng Li, Yuqing Yang, Fan Yang, Mao Yang
  
  VLDB Endowment | May 2025, 巻19(5)
  
  DOI Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  The Web Conference | May 2024
  
  Publication PDF アクセス
- OneSparse: A Unified System for Multi-index Vector Search
  
  Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
  
  The Web Conference | May 2024
  
  Publication
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  
  Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
  
  SOSP’23 | October 2023
  
  Microsoft Research Blog
  
  https://cm-edgetun.pages.dev/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
  
  Publication
- Model-enhanced Vector Index
  
  Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
  
  NeurIPS 2023 | October 2023
  
  Publication
- VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
  
  Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  OSDI’23 | July 2023
  
  Publication
- SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
  
  Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
  
  NeurIPS 2021 | November 2021
  
  Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
  
  Publication

- Aker: Density-Aware Approximate Caching for Vector Search
  
  Sukjoon Oh, Minki Kang, Dohyun Kim, Baotong Lu, Jing Liu, Qianxi Zhang, Qi Chen, Youjip Won
  
  Proceedings of the VLDB Endowment | June 2026
  
  Publication Publication
- Aker: Density-Aware Approximate Caching for Vector Search
  
  Sukjoon Oh, Minki Kang, Dohyun Kim, Baotong Lu, Jing Liu, Qianxi Zhang, Qi Chen, Youjip Won
  
  Proceedings of the VLDB Endowment | June 2026
  
  Publication Publication
- Scalable Distributed Vector Search via Accuracy Preserving Index Construction
  
  Yuming Xu, Qianxi Zhang, Qi Chen, Baotong Lu, Menghao Li, Philip Adams, Mingqin Li, Zengzhong Li, Jing Liu, Cheng Li, Fan Yang
  
  December 2025
  
  arXiv | December 2025
  
  Publication
- CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA
  
  Xiangyu Zhi, Meng Chen, Xiao Yan, Baotong Lu, Hui Li, Qianxi Zhang, Qi Chen, James Cheng
  
  Proceedings of the ACM on Management of Data | July 2025, 巻4: pp. 1-27
  
  DOI Publication Publication
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  The Web Conference | May 2024
  
  Publication PDF アクセス
- Model-enhanced Vector Index
  
  Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
  
  NeurIPS 2023 | October 2023
  
  Publication
- SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
  
  Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
  
  NeurIPS 2021 | November 2021
  
  Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
  
  Publication
- MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory
  
  Beidi Zhao, Yaoqi Chen, Yuru Feng, Menghao Li, Qianxi Zhang, Baotong Lu, Jianan Lu, Zilong Wang, Xinjiang Wang, Shusen Xu, Zengzhong Li, Xiaoxiao Li, Qi Chen
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation
  
  Yuru Feng, Yaoqi Chen, Beidi Zhao, Qianxi Zhang, Xinjiang Wang, Jianan Lu, Zilong Wang, Shusen Xu, Zengzhong Li, Qi Chen
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents
  
  Yaoqi Chen, Haibin Lai, Yuru Feng, Chuyu Han, Qianxi Zhang, Baotong Lu, Menghao Li, Xinjiang Wang, Zilong Wang, Shusen Xu, Zengzhong Li, Zewen Jin, Hao Wu, Cheng Li, Qi Chen
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving
  
  Zihan Zhao, Baotong Lu, Shengjie Lin, Yizou Chen, Jing Liu, Yanqi Zhang, Ziming Miao, Ming-Chang Yang, Haiying Shen, Qi Chen, Fan Yang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference
  
  Yaoqi Chen, Jin-Kang Zhang, Baotong Lu, Qianxi Zhang, Cheng Zhang, Jing Liu, Jingjia Luo, Di Liu, Huiqiang Jiang, Qi Chen, Bailu Ding, Xiao Yan, Jiawei Jiang, Chen Chen, Mingxing Zhang, Cheng Li, Yuqing Yang, Fan Yang, Mao Yang
  
  VLDB Endowment | May 2025, 巻19(5)
  
  DOI Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- OneSparse: A Unified System for Multi-index Vector Search
  
  Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
  
  The Web Conference | May 2024
  
  Publication
- Model-enhanced Vector Index
  
  Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
  
  NeurIPS 2023 | October 2023
  
  Publication
- SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation
  
  Yuru Feng, Yaoqi Chen, Beidi Zhao, Qianxi Zhang, Xinjiang Wang, Jianan Lu, Zilong Wang, Shusen Xu, Zengzhong Li, Qi Chen
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA
  
  Xiangyu Zhi, Meng Chen, Xiao Yan, Baotong Lu, Hui Li, Qianxi Zhang, Qi Chen, James Cheng
  
  Proceedings of the ACM on Management of Data | July 2025, 巻4: pp. 1-27
  
  DOI Publication Publication
- TriggerBench: Investigating Prospective Memory for Large Language Models
  
  Tianhua Zhang, Xinjiang Wang, Qianxi Zhang, Qi Chen, Kun Li, Yaoqi Chen, Dingdong Wang, Helen M. Meng, Yanchun Lu
  
  June 2026
  
  Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  The Web Conference | May 2024
  
  Publication PDF アクセス
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  
  Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
  
  SOSP’23 | October 2023
  
  Microsoft Research Blog
  
  https://cm-edgetun.pages.dev/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
  
  Publication
- VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
  
  Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  OSDI’23 | July 2023
  
  Publication
- SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
  
  Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
  
  NeurIPS 2021 | November 2021
  
  Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
  
  Publication

- Aker: Density-Aware Approximate Caching for Vector Search
  
  Sukjoon Oh, Minki Kang, Dohyun Kim, Baotong Lu, Jing Liu, Qianxi Zhang, Qi Chen, Youjip Won
  
  Proceedings of the VLDB Endowment | June 2026
  
  Publication Publication
- CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA
  
  Xiangyu Zhi, Meng Chen, Xiao Yan, Baotong Lu, Hui Li, Qianxi Zhang, Qi Chen, James Cheng
  
  Proceedings of the ACM on Management of Data | July 2025, 巻4: pp. 1-27
  
  DOI Publication Publication
- RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference
  
  Yaoqi Chen, Jin-Kang Zhang, Baotong Lu, Qianxi Zhang, Cheng Zhang, Jing Liu, Jingjia Luo, Di Liu, Huiqiang Jiang, Qi Chen, Bailu Ding, Xiao Yan, Jiawei Jiang, Chen Chen, Mingxing Zhang, Cheng Li, Yuqing Yang, Fan Yang, Mao Yang
  
  VLDB Endowment | May 2025, 巻19(5)
  
  DOI Publication
- MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory
  
  Beidi Zhao, Yaoqi Chen, Yuru Feng, Menghao Li, Qianxi Zhang, Baotong Lu, Jianan Lu, Zilong Wang, Xinjiang Wang, Shusen Xu, Zengzhong Li, Xiaoxiao Li, Qi Chen
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation
  
  Yuru Feng, Yaoqi Chen, Beidi Zhao, Qianxi Zhang, Xinjiang Wang, Jianan Lu, Zilong Wang, Shusen Xu, Zengzhong Li, Qi Chen
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents
  
  Yaoqi Chen, Haibin Lai, Yuru Feng, Chuyu Han, Qianxi Zhang, Baotong Lu, Menghao Li, Xinjiang Wang, Zilong Wang, Shusen Xu, Zengzhong Li, Zewen Jin, Hao Wu, Cheng Li, Qi Chen
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving
  
  Zihan Zhao, Baotong Lu, Shengjie Lin, Yizou Chen, Jing Liu, Yanqi Zhang, Ziming Miao, Ming-Chang Yang, Haiying Shen, Qi Chen, Fan Yang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Scalable Distributed Vector Search via Accuracy Preserving Index Construction
  
  Yuming Xu, Qianxi Zhang, Qi Chen, Baotong Lu, Menghao Li, Philip Adams, Mingqin Li, Zengzhong Li, Jing Liu, Cheng Li, Fan Yang
  
  December 2025
  
  arXiv | December 2025
  
  Publication
- TriggerBench: Investigating Prospective Memory for Large Language Models
  
  Tianhua Zhang, Xinjiang Wang, Qianxi Zhang, Qi Chen, Kun Li, Yaoqi Chen, Dingdong Wang, Helen M. Meng, Yanchun Lu
  
  June 2026
  
  Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  The Web Conference | May 2024
  
  Publication PDF アクセス
- OneSparse: A Unified System for Multi-index Vector Search
  
  Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
  
  The Web Conference | May 2024
  
  Publication
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  
  Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
  
  SOSP’23 | October 2023
  
  Microsoft Research Blog
  
  https://cm-edgetun.pages.dev/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
  
  Publication
- Model-enhanced Vector Index
  
  Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
  
  NeurIPS 2023 | October 2023
  
  Publication
- VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
  
  Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  OSDI’23 | July 2023
  
  Publication
- SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
  
  Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
  
  NeurIPS 2021 | November 2021
  
  Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
  
  Publication

AI Memory Research Group (Asia)

出版物

MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory

SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation

TriggerBench: Investigating Prospective Memory for Large Language Models

Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents

Aker: Density-Aware Approximate Caching for Vector Search

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving

Scalable Distributed Vector Search via Accuracy Preserving Index Construction

CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

OneSparse: A Unified System for Multi-index Vector Search

SPFresh: Incremental In-Place Update for Billion-Scale Vector Search

Model-enhanced Vector Index

VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search

Aker: Density-Aware Approximate Caching for Vector Search

Aker: Density-Aware Approximate Caching for Vector Search

Scalable Distributed Vector Search via Accuracy Preserving Index Construction

CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Model-enhanced Vector Index

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search

MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory

SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation

Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

OneSparse: A Unified System for Multi-index Vector Search

Model-enhanced Vector Index

SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation

CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA

TriggerBench: Investigating Prospective Memory for Large Language Models

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

SPFresh: Incremental In-Place Update for Billion-Scale Vector Search

VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search

Aker: Density-Aware Approximate Caching for Vector Search

CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference

MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory

SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation

Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving

Scalable Distributed Vector Search via Accuracy Preserving Index Construction

TriggerBench: Investigating Prospective Memory for Large Language Models

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

OneSparse: A Unified System for Multi-index Vector Search

SPFresh: Incremental In-Place Update for Billion-Scale Vector Search

Model-enhanced Vector Index

VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search