ICML 2025 Past Other

The 1st Workshop on Vector Databases

VecDB 2025

Submission deadline
May 30, 2025, 11:59 UTC
imported from OpenReview — check the website for extensions
Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (21)

Fetched from OpenReview (v2) on 2026-06-10.

  1. $\alpha$-Reachable Graphs for Multi-vector Nearest Neighbor Search

    Siddharth Gollapudi, Ravishankar Krishnaswamy, Ben Landrum, Nikhil Rao, Kirankumar Shiragur, Sandeep Silwal, Harsh Wardhan · PDF
  2. A Bi-metric Framework for Efficient Nearest Neighbor Search

    Haike Xu, Piotr Indyk, Sandeep Silwal · PDF
  3. Accurate and Efficient Metadata Filtering in Pinecone’s Serverless Vector Database

    Amir Ingber, Edo Liberty · PDF
  4. ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning

    Changtai Zhu, Siyin Wang, Ruijun Feng, Kai Song, Xipeng Qiu · PDF
  5. 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 · PDF
  6. Don’t Lag, RAG: Training-Free Adversarial Detection Using RAG

    Roie Kazoom, Raz Lapid, Moshe Sipper, Ofer Hadar · PDF
  7. Down with the Hierarchy: The ‘H’ in HNSW Stands for “Hubs”

    Blaise Munyampirwa, Vihan Lakshman, Benjamin Coleman · PDF
  8. Enhancing Retrieval Systems with Inference-Time Logical Reasoning

    Felix Faltings, Wei Wei, Yujia Bao · PDF
  9. Entropy-Based Dynamic Hybrid Retrieval for Adaptive Query Weighting in RAG Pipelines

    John Richard Perez, James Yuncheng Zhou, Radley Le, Alexander Menchtchikov, Ryan Lagasse · PDF
  10. 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 · PDF
  11. FrugalRAG: Learning to retrieve and reason for multi-hop QA

    Abhinav Java, Srivathsan Koundinyan, Nagarajan Natarajan, Amit Sharma · PDF
  12. Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art

    Ilias Azizi, Karima Echihabi, Themis Palpanas, Vassilis Christophides · PDF
  13. IVF$^{2}$ Index: Fusing Classic and Spatial Inverted Indices for Fast Filtered ANNS

    Ben Landrum, Magdalen Dobson Manohar, Mazin Karjikar, Laxman Dhulipala · PDF
  14. 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 · PDF
  15. Learning Filter-Aware Distance Metrics for Nearest Neighbor Search with Multiple Filters

    Gopal R Srinivasa, Ananya Sutradhar, Suryansh Gupta, Ravishankar Krishnaswamy, Kirankumar Shiragur · PDF
  16. 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 · PDF
  17. Scalable k-Means Clustering for Large k via Seeded Approximate Nearest-Neighbor Search

    Jack Spalding-Jamieson, Eliot W. Robson, Da Wei Zheng · PDF
  18. Scaling Laws for Nearest Neighbor Search

    Philip Sun, Felix Chern, Yaroslav Akhremtsev, Ruiqi Guo, David Simcha, Sanjiv Kumar · PDF
  19. The RaBitQ Library

    Jianyang Gao, Yutong Gou, Yuexuan Xu, Jifan Shi, Zhonghao Yang, Cheng Long · PDF
  20. Unified Multimodal Interleaved Document Representation for Retrieval

    Jaewoo Lee, Joonho Ko, Jinheon Baek, Soyeong Jeong, Sung Ju Hwang · PDF
  21. Vector Data Search with Sorting Transformation

    Hongzhi Wang, Tanveer F Syeda-Mahmood · PDF