Author

Ciya Liao

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Preprint Oct 2026

Query Generation with Direct Preference Optimization for Document Expansion in E-commerce Search

Doc2Query, a popular document expansion technique, leverages sequence-to-sequence models to generate relevant queries, effectively addressing the"vocabulary mismatch"problem in information retrieval. However, these models often suffer from generating either hallucinations unrelated to the document or repetitive content...

Kai-Hao Li, Feng Liu, Jue-Xin Lin et al. · 0 citations

#natural language process... Preprint Sep 2026

It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning

CoGR is introduced, a retrieval framework that instead trains LLMs to directly construct retrieval representations on both query and item sides, and shows stable co-evolution and increasingly aligned query--item keyword spaces over training.

Runpeng Dai, Kai-Li Huang, Chang-Sung Kang et al. · 2 citations

Book Open access Jul 2026

Scaling and Stabilizing Large-Scale Embedding-Based Retrieval

A unified pipeline deployed at Walmart that addresses both signal quality and model evolution is presented, and a Warm-Start Distillation technique that transfers domain-specific expertise from the legacy model to the new backbone is introduced.

Zhen Yang, Juexin Lin, Hongwei Shang et al. · Annual International ACM SIG... · 1 citation