Quality-Aware Information Retrieval
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CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
arXiv:2506.11066v3 Announce Type: replace Abstract: Code retrieval is essential in modern software development, as it boosts code reuse and accelerates debugging. However, current benchmarks primarily emphasize functional relevance while neglecting critical dimensions of software quality. Motivated by this gap, we introduce CoQuIR, the first large-scale, multilingual benchmark specifically designed to evaluate quality-aware code retrieval across four key dimensions: correctness, efficiency,...
QUARE: Quality-Aware Requirements Analysis through Multi-Agent Dialectical Negotiation
Announce Type: replace Abstract: Automating requirements quality analysis remains challenging because multiple, often conflicting quality attributes must be balanced while preserving stakeholder intent. Existing Large-Language-Model (LLM) approaches predominantly rely on task-oriented decomposition or implicit aggregation, limiting their ability to systematically surface and resolve cross-quality conflicts. We present QUARE (QUality-Aware REquirements Analysis), a multi-agent framework that...