UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising

arXiv:2609.20630 · cs.CL · Submitted 2026-09-17 · Read on arXiv

cs.CL

Submitted: 2026-09-17

Updated: 2026-09-20

Comments: 13 pages, 5 figures, 4 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Alignment — 30× in this paper · explained in 1 episode
• GRPO — 25× in this paper · explained in 6 episodes
• Generative Model — 10× in this paper · explained in 2 episodes
• Decoupling — 8× in this paper · explained in 2 episodes
• Reinforcement Learning — 8× in this paper · explained in 4 episodes
• Adaptation — 7× in this paper · explained in 1 episode
• Core — 7× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Distillation — 4× in this paper · explained in 2 episodes
• GRPO Objective — 4× in this paper · explained in 2 episodes
• Generative Recommendation — 4× in this paper · explained in 2 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Alignment Problem — 2× in this paper · explained in 1 episode
• Generative Models — 2× in this paper · explained in 2 episodes
• KV cache — 2× in this paper · explained in 3 episodes
• Multi-objective Optimization — 2× in this paper · explained in 4 episodes
• On-Policy Distillation — 2× in this paper · explained in 3 episodes
• Regret — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Latent Reasoning — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Self-distillation — 1× in this paper · explained in 6 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
• OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework
• OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
• S-GRec: Personalized Semantic-Aware Generative Recommendation with Asymmetric Advantage
• MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training
• OneReason Technical Report
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• IDGenRec: LLM-RecSys Alignment with Textual ID Learning
• Generative Recommendation for Large-Scale Advertising
• GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
• UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent

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