The #SPIRE 2023 proceedings can be downloaded for free (link.springer.com/book/10.1007/9…) until Oct. 25! There are some very interesting looking papers; check it out :).

Nadia Pisanti opening SPIRE 2023 in Pisa! 3 days, 11 scientific sessions, ~80 attendees! #SPIRE2023

Session #1 of #SPIRE2023 starts with Gregory Kucherov presenting "Count-min Sketch with Variable Number of Hash Functions: an Experimental Study"

Mariagiovanna Rotundo is now presenting "Engineering a Textbook Approach to Index Massive String Dictionaries." #SPIRE2023

Łukasz Kondraciuk is now presenting "String Tree Covers Revisited." #SPIRE2023

Davide Rucci is now presenting: "CAGE: Cache-Aware Graphlet Enumeration." #SPIRE2023

Pablo Gutiérrez-Asorey is now on stage presenting "Compacting Massive Public Transport Data." #SPIRE2023

Travis Gagie now presenting "Dynamic Compact Planar Embeddings". #SPIRE2023

#SPIRE2023 keynote #2: Sebastian Bruch, "Information Retrieval Needs More Theoreticians" soon on stage!

Raluca Uricaru now on stage presenting "Approximation and Fixed Parameter Algorithms for the Approximate Cover Problem." #SPIRE2023

Binhai Zhu now presenting "Algorithms and Hardness for the Longest Common Subsequence of Three Strings and Related Problems." #SPIRE2023

#SPIRE2023, Keynote #3, Inge Li Gørtz talking about “Regular Expression Matching”.

#SPIRE2023 group picture! The hi-res version is available on the conference website!

From 2.5x (SPLADE) to 11.3x (ESPLADE) faster than the winning methods of the Big-ANN '23 Sparse Track. "Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations". LP @ #SIGIR2024. Joint work with @snbruch, cosimorulli, Rossano Venturini

This is a fantastic paper improving the efficiency of ColBERT retrieval — by authors including Franco Maria Nardini @RossanoVent whose work on efficient IR I learned a lot from in my undergrad research years. Probably also one of the best intros into how ColBERTv2+PLAID currently works.

Today, Andrew Yates Andrew Yates from the University of Amsterdam will give an in-person seminar at ISTI-CNR (@isticnr) entitled "An encoder-centric view of neural retrieval". Thanks Andrew Yates!

Interested in speeding up approximate retrieval over learnt sparse embeddings of up to 12x w.r.t. the winning methods of the Big ANN 2023 Sparse Track challenge? Check this out: arxiv.org/abs/2404.18812. Long paper @ #SIGIR2024 with @snbruch, cosimorulli, Rossano Venturini

The Rust code (plus an easy-to-use search Python API) of "Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations" (ACM SIGIR 2024) is now released on GitHub. @snbruch, cosimorulli, Rossano Venturini github.com/TusKANNy/seism…

hey #ECIR2025! Are you interested in Approximate Nearest Neighbors search? You should come and see our demo of “kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search” in Sagrestia, after the afternoon coffee break! live coding and tasting!

"Neural Network Compression using Binarization and Few Full-precision Weights." Joint work with cosimorulli, Salvatore Trani, and Rossano Venturini. Elsevier Information Systems. Just Accepted. doi.org/10.1016/j.ins.…