71 citations · 250 across the 27 of their papers we have counts for
28 papers
VQ-bench: A Composable Vector Quantization Framework
Ashwin Padaki, Amir Ingber, Edo Liberty
Vector quantization is an old problem but has recently become central to AI infrastructure. It is therefore experiencing a surge of renewed engineering and research activity. This…
Nearly Optimal Attention Coresets
Edo Liberty, Alexandr Andoni, Eldar Kleiner
We consider the problem of estimating the Attention mechanism in small space, and prove the existence of coresets for it of nearly optimal size. Specifically, we show that for any…
SIGIR 2025 -- LiveRAG Challenge Report
David Carmel, Simone Filice, Guy Horowitz +6
The LiveRAG Challenge at SIGIR 2025, held between March and May 2025, provided a competitive platform for advancing Retrieval-Augmented Generation (RAG) technologies. Participants…
Results of the Big ANN: NeurIPS'23 competition
Harsha Vardhan Simhadri, Martin Aumüller, Amir Ingber +20
The 2023 Big ANN Challenge, held at NeurIPS 2023, focused on advancing the state-of-the-art in indexing data structures and search algorithms for practical variants of Approximate…
Bridging Dense and Sparse Maximum Inner Product Search
Sebastian Bruch, Franco Maria Nardini, Amir Ingber +1
Maximum inner product search (MIPS) over dense and sparse vectors have progressed independently in a bifurcated literature for decades; the latter is better known as top- retrie…
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors
Sebastian Bruch, Franco Maria Nardini, Amir Ingber +1
Maximum Inner Product Search or top-k retrieval on sparse vectors is well-understood in information retrieval, with a number of mature algorithms that solve it exactly. However, al…