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.
Code EmbeddingLarge Language ModelMTEB-Code
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