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UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising

Paper recorded by Signals 4 on 2026-09-17 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-17 on arXiv · recorded by Signals 4 on 2026-09-18

Category: cs.CL · 自然语言处理 · first seen 2026-09-18

Abstract

Search advertising connects user intent with commercial content and plays a critical role in platform monetization. Recent systems typically align pretrained generative models with a single business reward, such as eCPM, or use naive reward fusion for preliminary multi-objective alignment. However, an ideal search advertising system must jointly account for heterogeneous objectives, including rele

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#6 most recent of 186 cs.CL papers we have recorded · ↑ newer: HerHealthEval: Evaluating Multilingual and Register-Sensitive Understa · ↓ older: Chronicle: Cut-Point Replay for Regression Testing of LLM Agents
Cite this page: UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising: the #6 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/unipolicy-unified-objective-specific-policies-for-generative-search-advertising.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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