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PaperAgent
PaperAgent
Jan 13, 2026 · Artificial Intelligence

How C2LLM Redefines Code Retrieval with Attention‑Based Pooling

Introducing C2LLM, a contrastive code LLM series that replaces mean and EOS pooling with a multi‑head attention pooling module, achieving top scores on the MTEB‑Code benchmark across 12 tasks and demonstrating cost‑effective, high‑precision code retrieval for both production and AI agent applications.

MTEB-CodeRetrieval Augmented Generationattention pooling
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How C2LLM Redefines Code Retrieval with Attention‑Based Pooling