◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Mathias Vast

4 papers hereh-index 26 citations7 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.IR4

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.IR2026

MICE: Minimal Interaction Cross-Encoders for efficient Re-ranking

Mathias Vast, Victor Morand, Basile van Cooten +3

Cross-encoders deliver state-of-the-art ranking effectiveness in information retrieval, but have a high inference cost. This prevents them from being used as first-stage rankers, b…

cs.IR2026

From Tokens to Concepts: Leveraging SAE for SPLADE

Yuxuan Zong, Mathias Vast, Basile Van Cooten +2

Learned Sparse IR models, such as SPLADE, offer an excellent efficiency-effectiveness tradeoff. However, they rely on the underlying backbone vocabulary, which might hinder perform…

cs.IR2026

Reproducing and Comparing Distillation Techniques for Cross-Encoders

Victor Morand, Mathias Vast, Basile Van Cooten +3

Recent advances in Information Retrieval have established transformer-based cross-encoders as a keystone in IR. Recent studies have focused on knowledge distillation and showed tha…

cs.IR2025

Understanding Matching Mechanisms in Cross-Encoders

Mathias Vast, Basile Van Cooten, Laure Soulier +1

Neural IR architectures, particularly cross-encoders, are highly effective models whose internal mechanisms are mostly unknown. Most works trying to explain their behavior focused…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.