GAS: Generative Auto-bidding with Post-training Search
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Yewen, Mao, Shuai, Gao, Jingtong, Jiang, Nan, Xu, Yunjian, Cai, Qingpeng, Pan, Fei, Jiang, Peng, An, Bo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting
by: Li, Yewen, et al.
Published: (2026)
by: Li, Yewen, et al.
Published: (2026)
Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner
by: Li, Yewen, et al.
Published: (2025)
by: Li, Yewen, et al.
Published: (2025)
Generative Auto-Bidding with Value-Guided Explorations
by: Gao, Jingtong, et al.
Published: (2025)
by: Gao, Jingtong, et al.
Published: (2025)
Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
by: Mou, Zhiyu, et al.
Published: (2025)
by: Mou, Zhiyu, et al.
Published: (2025)
AIGB: Generative Auto-bidding via Conditional Diffusion Modeling
by: Guo, Jiayan, et al.
Published: (2024)
by: Guo, Jiayan, et al.
Published: (2024)
Large-Scale Auto-bidding with Nash Equilibrium Constraints
by: Mou, Zhiyu, et al.
Published: (2025)
by: Mou, Zhiyu, et al.
Published: (2025)
ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising
by: Wang, Ruizhi, et al.
Published: (2024)
by: Wang, Ruizhi, et al.
Published: (2024)
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding
by: Li, Haoming, et al.
Published: (2024)
by: Li, Haoming, et al.
Published: (2024)
Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding
by: Mou, Zhiyu, et al.
Published: (2025)
by: Mou, Zhiyu, et al.
Published: (2025)
BAT: Benchmark for Auto-bidding Task
by: Khirianova, Alexandra, et al.
Published: (2025)
by: Khirianova, Alexandra, et al.
Published: (2025)
Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation
by: Chen, Jiaju, et al.
Published: (2026)
by: Chen, Jiaju, et al.
Published: (2026)
State Regularized Policy Optimization on Data with Dynamics Shift
by: Xue, Zhenghai, et al.
Published: (2023)
by: Xue, Zhenghai, et al.
Published: (2023)
Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL)
by: Chiappa, Alberto Silvio, et al.
Published: (2024)
by: Chiappa, Alberto Silvio, et al.
Published: (2024)
Measuring the Permission Gate: A Stress-Test Evaluation of Claude Code's Auto Mode
by: Ji, Zimo, et al.
Published: (2026)
by: Ji, Zimo, et al.
Published: (2026)
Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards
by: He, Haoran, et al.
Published: (2025)
by: He, Haoran, et al.
Published: (2025)
AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems
by: Motwani, Sumeet Ramesh, et al.
Published: (2026)
by: Motwani, Sumeet Ramesh, et al.
Published: (2026)
AutoPBO: LLM-powered Optimization for Local Search PBO Solvers
by: Li, Jinyuan, et al.
Published: (2025)
by: Li, Jinyuan, et al.
Published: (2025)
DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production
by: Liang, Xiaoyun, et al.
Published: (2024)
by: Liang, Xiaoyun, et al.
Published: (2024)
Generative Pre-trained Autoregressive Diffusion Transformer
by: Zhang, Yuan, et al.
Published: (2025)
by: Zhang, Yuan, et al.
Published: (2025)
Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria
by: Tian, Juanxi, et al.
Published: (2026)
by: Tian, Juanxi, et al.
Published: (2026)
Cost-Awareness in Tree-Search LLM Planning: A Systematic Study
by: Zhang, Zihao, et al.
Published: (2025)
by: Zhang, Zihao, et al.
Published: (2025)
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
by: Wu, Yinting, et al.
Published: (2024)
by: Wu, Yinting, et al.
Published: (2024)
Fully Spiking Neural Network for Legged Robots
by: Jiang, Xiaoyang, et al.
Published: (2023)
by: Jiang, Xiaoyang, et al.
Published: (2023)
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
by: Liu, Xiaogeng, et al.
Published: (2023)
by: Liu, Xiaogeng, et al.
Published: (2023)
Generative Auto-Bidding with Unified Modeling and Exploration
by: Zhang, Mingming, et al.
Published: (2026)
by: Zhang, Mingming, et al.
Published: (2026)
Why pre-training is beneficial for downstream classification tasks?
by: Jiang, Xin, et al.
Published: (2024)
by: Jiang, Xin, et al.
Published: (2024)
Generating Pragmatic Examples to Train Neural Program Synthesizers
by: Vaduguru, Saujas, et al.
Published: (2023)
by: Vaduguru, Saujas, et al.
Published: (2023)
PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation
by: Fang, Dengzhao, et al.
Published: (2026)
by: Fang, Dengzhao, et al.
Published: (2026)
VAO: Validation-Aligned Optimization for Cross-Task Generative Auto-Bidding
by: Lv, Yiqin, et al.
Published: (2025)
by: Lv, Yiqin, et al.
Published: (2025)
Understanding Representation Learnability of Nonlinear Self-Supervised Learning
by: Yang, Ruofeng, et al.
Published: (2024)
by: Yang, Ruofeng, et al.
Published: (2024)
HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
by: Fang, Dengzhao, et al.
Published: (2025)
by: Fang, Dengzhao, et al.
Published: (2025)
LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)
by: Zhang, Zijian, et al.
Published: (2024)
FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading
by: Qin, Molei, et al.
Published: (2025)
by: Qin, Molei, et al.
Published: (2025)
Beneficial Reasoning Behaviors in Agentic Search and Effective Post-training to Obtain Them
by: Jin, Jiahe, et al.
Published: (2025)
by: Jin, Jiahe, et al.
Published: (2025)
AutoTrain: No-code training for state-of-the-art models
by: Thakur, Abhishek
Published: (2024)
by: Thakur, Abhishek
Published: (2024)
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
by: Yang, Yutao, et al.
Published: (2026)
by: Yang, Yutao, et al.
Published: (2026)
AT$^2$PO: Agentic Turn-based Policy Optimization via Tree Search
by: Zong, Zefang, et al.
Published: (2026)
by: Zong, Zefang, et al.
Published: (2026)
Interactive Character Control with Auto-Regressive Motion Diffusion Models
by: Shi, Yi, et al.
Published: (2023)
by: Shi, Yi, et al.
Published: (2023)
A Study on Educational Data Analysis and Personalized Feedback Report Generation Based on Tags and ChatGPT
by: Zhou, Yizhou, et al.
Published: (2025)
by: Zhou, Yizhou, et al.
Published: (2025)
Efficient Post-training of LLMs for Code Generation With Offline Reinforcement Learning
by: Wu, Mingze, et al.
Published: (2026)
by: Wu, Mingze, et al.
Published: (2026)
Similar Items
-
LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting
by: Li, Yewen, et al.
Published: (2026) -
Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner
by: Li, Yewen, et al.
Published: (2025) -
Generative Auto-Bidding with Value-Guided Explorations
by: Gao, Jingtong, et al.
Published: (2025) -
Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
by: Mou, Zhiyu, et al.
Published: (2025) -
AIGB: Generative Auto-bidding via Conditional Diffusion Modeling
by: Guo, Jiayan, et al.
Published: (2024)