xir-1170-qwen3-embedding-0.6b

XIR 1170 — Qwen3 Embedding 0.6B — 2026-07-17 A1

Submission candidate for 基于Agent交互轨迹的检索模型优化.

• Base architecture: Qwen3-Embedding-0.6B
• Data: official LRAT competition training pairs only
• No external datasets, teacher models, model outputs, or APIs
• Pooling: last token; normalized embeddings
• Query format: Instruct: Given a web search query, retrieve relevant passages that answer the query\nQuery:{query}

Training recipe

The official LRAT checkpoint was continued for 120 steps on an official-data-only set where duplicate query-positive pairs were merged, negative pools were merged by document id, and the official trajectory-derived weights were clipped and normalized. The resulting checkpoint was interpolated 50/50 with the official LRAT checkpoint.

Local validation

Query-hash-isolated validation on 2,048 official-data rows (zero query overlap):

This local metric is a development gate and is not the official A-board score.