Accepted Papers

Oral

• "Down with the Hierarchy: The ‘H’ in HNSW Stands for “Hubs”", Munyampirwa, Vihan Lakshman, Benjamin Coleman
• "Enhancing Retrieval Systems with Inference-Time Logical Reasoning", Felix Faltings, Wei Wei, Yujia Bao
• "IVF$^{2}$ Index: Fusing Classic and Spatial Inverted Indices for Fast Filtered ANNS", Ben Landrum, Magdalen Dobson Manohar, Mazin Karjikar, Laxman Dhulipala
• "A Bi-metric Framework for Efficient Nearest Neighbor Search", Haike Xu, Piotr Indyk, Sandeep Silwal
• "The RaBitQ Library", Jianyang Gao, Yutong Gou, Yuexuan Xu, Jifan Shi, Zhonghao Yang, Cheng Long
• "$\alpha$-Reachable Graphs for Multi-vector Nearest Neighbor Search", Siddharth Gollapudi, Ravishankar Krishnaswamy, Ben Landrum, Nikhil Rao, Kirankumar Shiragur, Sandeep Silwal, Harsh Wardhan

Poster

• "Unified Multimodal Interleaved Document Representation for Retrieval", Jaewoo Lee, Joonho Ko, Jinheon Baek, Soyeong Jeong, Sung Ju Hwang
• "DistributedANN: Efficient Scaling of a Single DiskANN Graph Across Thousands of Computers", Philip Adams, Menghao Li, Shi Zhang, Li Tan, Qi Chen, Mingqin Li, Zengzhong Li, Knut Magne Risvik, Harsha Vardhan simhadri
• "Scalable k-Means Clustering for Large k via Seeded Approximate Nearest-Neighbor Search", Eliot W. Robson, Jack Spalding-Jamieson, Da Wei Zheng
• "FrugalRAG: Learning to retrieve and reason for multi-hop QA", Abhinav Java, Srivathsan Koundinyan, Nagarajan Natarajan, Amit Sharma
• "Don’t Lag, RAG: Training-Free Adversarial Detection Using RAG", Roie Kazoom, Raz Lapid, Moshe Sipper, Ofer Hadar
• "ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning", Changtai Zhu, Siyin Wang, Ruijun Feng, Kai Song, Xipeng Qiu
• "Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art", Ilias Azizi, Karima Echihabi, Themis Palpanas, Vassilis Christophides
• "Vector Data Search with Sorting Transformation", Hongzhi Wang, Tanveer F Syeda-Mahmood
• "Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting", Chloe Ho, Ishneet Sukhvinder Singh, Diya Sharma, Tanvi Reddy Anumandla, Kevin Zhu, Michael Lu, Vasu Sharma
• "Entropy-Based Dynamic Hybrid Retrieval for Adaptive Query Weighting in RAG Pipelines", John Richard Perez, James Yuncheng Zhou, Radley Le, Alexander Menchtchikov, Ryan Lagasse
• "Exploiting Sparsity for Long Context Inference: Million Token Contexts on Commodity GPUs", Ryan Synk, Monte Hoover, John Kirchenbauer, Neel Jain, Alex Stein, Manli Shu, Josue Melendez Sanchez, Ramani Duraiswami, Tom Goldstein
• "Accurate and Efficient Metadata Filtering in Pinecone’s Serverless Vector Database", Amir Ingber, Edo Liberty
• "Scaling Laws for Nearest Neighbor Search", Philip Sun, Felix Chern, Yaroslav Akhremtsev, Ruiqi Guo, David Simcha, Sanjiv Kumar
• "LEANN: A Low-Storage Vector Index for Personal Devices", Yichuan Wang, Shu Liu, Zhifei Li, Yongji Wu, Ziming Mao, Yilong Zhao, Xiao Yan, Zhiying Xu, Yang Zhou, Ion Stoica, Sewon Min, Matei Zaharia, Joseph E. Gonzalez
• "Learning Filter-Aware Distance Metrics for Nearest Neighbor Search with Multiple Filters", Gopal R Srinivasa, Ananya Sutradhar, Suryansh Gupta, Ravishankar Krishnaswamy, Kirankumar Shiragur