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#industrial-deployment

TGR-EvoDAG: A DAG-based Multi-Agent Code Evolution Framework for Generative Recommendation on Tencent

arXiv cs.AI ↗ · 6d ago

论文提出 TGR-EvoDAG,一个基于有向无环图(DAG)的多智能体代码进化框架,用于生成式推荐流水线的自动演化,离线指标最高提升 37.4%,并在腾讯工业部署中带来 0.40% 的在线 CTR 提升。

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#industrial-deployment

Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting

arXiv cs.AI ↗ · 2026-09-03 Cached

Loom presents a generative consensus framework for aggregating noisy textual hypotheses into consensus via embedding-space reweighting, deployed for real-world root cause analysis with improved efficiency and accuracy over traditional LLM agents.

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#industrial-deployment

GenMatch: An End-to-End Generative Matching Framework for Micro-View Order-Dispatching in Ride-Hailing

arXiv cs.AI ↗ · 2026-08-21 Cached

GenMatch is an end-to-end generative matching framework for micro-view order-dispatching in ride-hailing, addressing challenges like batch encoding and utility learning to improve dispatch quality, with demonstrated effectiveness in real-world tests.

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