CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval

By Jia-Hui Geng, Feng-Yu Cai, Shao-Bo Cui, Qing Li, Liang-Wei Chen, Chenyang Lyu, Hao-Nan Li, De-Rui Zhu, Walter Pretschner, Heinz Koeppl and 1 more. 2025

Subfields: Information Retrieval & Search, Evaluation & Benchmarks, Code Generation & Program Synthesis

Citations in the corpus

• Finding the Right Tables and Columns: A Benchmark and Corpus-Adaptive Embeddings for SQL Schema Retrieval (2026, unknown): “Standard text-and code-retrieval benchmarks (Thakur et al., 2021; Muennighoff et al., 2023; Li et al., 2025; Geng et al., 2026) evaluate zero-shot transfer but do not cover schema retrieval, a setting in which we find that even strong general-purpose and code embed-ders underperform.”