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Raphaël Sourty

4 papers hereh-index 3333 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.IR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedRiver: machine learning for streaming data in Python

160 citations · 160 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Small Agents with Semantic Search: Efficient Multilingual Code Localization

Maxence Lasbordes, Aarush Sinha, Raphael Sourty +2

Locating relevant files from natural-language requests is a core subtask for agents operating over code repositories. We investigate whether this task can be delegated to compact,…

cs.CL2026

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search

Raphaël Sourty, Antoine Chaffin, Paulo Roberto Moura Junior +1

State-of-the-art retrieval models increasingly rely on closed training data, creating a reproducibility gap. We present an open end-to-end recipe for training retrieval models and…

cs.IR2025

PyLate: Flexible Training and Retrieval for Late Interaction Models

Antoine Chaffin, Raphaël Sourty

Neural ranking has become a cornerstone of modern information retrieval. While single vector search remains the dominant paradigm, it suffers from the shortcoming of compressing al…

cs.LG2020★ 160 cited

River: machine learning for streaming data in Python

Jacob Montiel, Max Halford, Saulo Martiello Mastelini +8

River is a machine learning library for dynamic data streams and continual learning. It provides multiple state-of-the-art learning methods, data generators/transformers, performan…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.