mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval

By Orion Weller, Benjamin Chang, Eugene Yang, Mahsa Arab Yarmohammadi, Samuel Barham, Sean MacAvaney, Arman Cohan, Luca Soldaini, Benjamin Van Durme, Dawn J. Lawrie. 2025

Subfields: Information Retrieval & Search, Evaluation & Benchmarks

Citations in the corpus

• LLMs Are Also Effective Embedding Models: An In-depth Overview (2024, unknown): “Early code embedding works like code2vec [4] and Codebert [38], adapted NLP techniques to code by treating code as text.”