Accepted Papers

Oral

• "Almost Navigable Graphs", Pratyush Avi, Christopher Musco
• "VIBE: Vector Index Benchmark for Embeddings", Elias Jääsaari, Ville Hyvönen, Matteo Ceccarello, Teemu Roos, Martin Aumüller
• "Turbocharging PiPNN for Proximity and \(k\)-NN Graph Building", Tobias Rubel, Richard Wen, Guy Blelloch, Laxman Dhulipala, Lars Gottesbüren, Jakub Łącki, Vahab Mirrokni
• "Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings", Rajesh Jayaram
• "JAG: Joint Attribute Graphs for Filtered Nearest Neighbor Search", Haike Xu, Guy Blelloch, Laxman Dhulipala, Lars Gottesbüren, Rajesh Jayaram, Jakub Łącki
• "VQ-bench: a composable vector quantization framework", Edo Liberty, Ashwin Padaki, Amir Ingber

Poster

• "FastGANN: Marrying Quantization with Pruning for GPU ANNS", ZeAi Sun, Jinxu Liu
• "Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale", Siddharth Gollapudi, Nilesh Gupta, Prasann Singhal, Sewon Min
• "Direct Path Optimization for Faster Ingestion and Sparser Graph Index in Vector Database", Tianji Yang, Xuhao Chen
• "Characterizing Locality in Large-Scale Vector Search Workloads of Agentic AI Systems", Seungjin Lee, Faraz Ahmed, Diman Zad Tootaghaj, Hardik Soni, Steven Swanson, Puneet Sharma
• "MV-IVF: Multi-Vector Retrieval via Multi-Vector Clustering", Kishen N Gowda, Laxman Dhulipala, Lars Gottesbüren, Rajesh Jayaram
• "Learning Partition Trees for Nearest Neighbor Search", Ashwin Padaki, Sanjeev Khanna, Erik Waingarten
• "Metadata-Filtered Vector Search in the WebIQ Grounding Index", Fang Liu, Magdalen Dobson Manohar, Qingcha Chen, Li Tan, Jinwei Zhang, Xinglong He, Denis Deyneko, Son Truong, Arpan Phull, Garrett Kaminaga, Vibhaakar Sharma, Zhaoyi Liu, Zengzhong Li, Knut Magne Risvik
• "Passing the Baton: High Throughput Distributed Disk-Based Vector Search with BatANN", Nam Anh Dang, Ben Landrum, Ken Birman
• "Quantizing Sampling-Based Inner Product Sketches", Gabriel M. Silva, Aécio Santos, Majid Daliri, Juliana Freire, Christopher Musco
• "ANNLib: A Development Framework for Efficient Approximate Nearest Neighbor Search", Zheqi Shen, Jingbo Su, Zijin Wan, Yan Gu, Yihan Sun
• "Aggregate Recall Is Not Per-Slice Reliability: A Distribution-Free Coverage Contract for Embedding Retrieval", Rob Sneiderman
• "SPI: Query-Depth-Adaptive Indexing for Streaming RAG in Vector Databases", Dong Liu, Yanxuan Yu, Shinan Liu
• "Directional Beam Search: I/O-Efficient ANNS on GPU", Zikun Wang, Hunter McCoy, Prashant Pandey
• "LOCALE: Local-Alignment Embeddings for Noise-Robust DNA Search at SRA Scale", Ryan Synk, Prashant Pandey, S. Cenk Sahinalp, Ramani Duraiswami
• "Mimicking Datasets at Billion Scale for Vector Search Benchmarking", Jinsol Park, Anupam Mijar, Corey J Nolet
• "Quantization Beyond Uniform Bit Allocation", K. S. Sreeramji, Sabyasachi Basu, Ravishankar Krishnaswamy, Kirankumar Shiragur, Yujia Wang
• "Revisiting RaBitQ and TurboQuant: A Symmetric Comparison of Methods, Theory, and Experiments", Jianyang Gao, Yutong Gou, Yuexuan Xu, Jifan Shi, Yongyi Yang, Shuolin Li, Raymond Chi-Wing Wong, Cheng Long
• "DARTH+: Vector Search with Declarative Recall and Guarantees", Manos Chatzakis, Yannis Papakonstantinou, Themis Palpanas
• "The PAG Library: Projection-Augmented Graph for Approximate Nearest Neighbor Search", Kejing Lu, Zhenpeng Pan, Yoshiharu Ishikawa, Chuan Xiao, Jianbin Qin
• "Speakeasy: Billion-Scale Two-Server Private Semantic Search", Vihan Lakshman, Xiaochen Zhu, Alexandra Henzinger, Henry Corrigan-Gibbs, Emma Dauterman
• "Beyond HyDE: Cross-Model Hypothesis Diversity for Robust Dense Retrieval", Siddhesh More, Kunal Jadhav
• "Range Retrieval with Graph-Based Indices", Magdalen Dobson Manohar, Guy Blelloch, Taekseung Kim
• "In-Place Updates of a Graph Index for Streaming Approximate Nearest Neighbor Search", Haike Xu, Magdalen Dobson Manohar, Philip A. Bernstein, Badrish Chandramouli, Richard Wen, Harsha Vardhan Simhadri
• "Stop Indexing at Full Precision: Revisiting Clustering for Vector Embeddings", Leonardo Kuffo, Peter Boncz
• "Filtered Approximate Nearest Neighbor Search in Vector Databases: System Design and Performance Analysis", Abylay Amanbayev, Brian Tsan, Tri Vinh Dang, Florin Rusu
• "Plasma: A Layout-Aware Benchmark Reveals Memory Layout Matters for Graph-based ANNS on GPU", Yutaro Oguri, Mai Nishimura, Yusuke Matsui