15 citations · 19 across the 4 of their papers we have counts for
4 papers
ChunkNorris: A High-Performance and Low-Energy Approach to PDF Parsing and Chunking
Mathieu Ciancone, Clovis Varangot-Reille, Marion Schaeffer
In Retrieval-Augmented Generation applications, the Information Retrieval part is central as it provides the contextual information that enables a Large Language Model to generate…
MMTEB: Massive Multilingual Text Embedding Benchmark
Kenneth Enevoldsen, Isaac Chung, Imene Kerboua +83
Text embeddings are typically evaluated on a limited set of tasks, which are constrained by language, domain, and task diversity. To address these limitations and provide a more co…
Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems
Clovis Varangot-Reille, Christophe Bouvard, Antoine Gourru +3
Large Language Model (LLM)-based systems, i.e. interconnected elements that include an LLM as a central component, such as conversational agents, are usually designed with monolith…
MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis
Mathieu Ciancone, Imene Kerboua, Marion Schaeffer +1
Recently, numerous embedding models have been made available and widely used for various NLP tasks. The Massive Text Embedding Benchmark (MTEB) has primarily simplified the process…