:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Ruizhi, Liu, Kai, Li, Bingjie, Rong, Yu, Cai, Qingpeng, Pan, Fei, Jiang, Peng
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2412.06167
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)

Scaling Laws for Online Advertisement Retrieval
by: Wang, Yunli, et al.
Published: (2024)

GAS: Generative Auto-bidding with Post-training Search
by: Li, Yewen, et al.
Published: (2024)

EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
by: Zhao, Sha, et al.
Published: (2025)

InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
by: Chen, Qiaosheng, et al.
Published: (2025)

KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination
by: Gu, Yin, et al.
Published: (2024)

Automated Risk-of-Bias Assessment of Randomized Controlled Trials: A First Look at a GEPA-trained Programmatic Prompting Framework
by: Li, Lingbo, et al.
Published: (2025)

Programmatic Context Augmentation for LLM-based Symbolic Regression
by: Liu, Hao, et al.
Published: (2026)

State Regularized Policy Optimization on Data with Dynamics Shift
by: Xue, Zhenghai, et al.
Published: (2023)

Knowledge-informed Bidding with Dual-process Control for Online Advertising
by: Luo, Huixiang, et al.
Published: (2026)

Automating Creativity
by: Huang, Ming-Hui, et al.
Published: (2024)

Beyond Autonomy: A Dynamic Tiered AgentRunner Framework for Governable and Resilient Enterprise AI Execution
by: Pan, Kai, et al.
Published: (2026)

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation
by: Chen, Jiaju, et al.
Published: (2026)

RELATE: A Reinforcement Learning-Enhanced LLM Framework for Advertising Text Generation
by: Wang, Jinfang, et al.
Published: (2026)

PRISM: A Benchmark for Programmatic Spatial-Temporal Reasoning
by: Zhang, Qiran, et al.
Published: (2026)

Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
by: Carvalho, Tales H., et al.
Published: (2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
by: Zhang, Zijian, et al.
Published: (2024)

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
by: Jiang, Chuang, et al.
Published: (2025)

Scaling Spatial Reasoning in MLLMs through Programmatic Data Synthesis
by: Helu, Zhi, et al.
Published: (2025)

Online Advertisements with LLMs: Opportunities and Challenges
by: Feizi, Soheil, et al.
Published: (2023)

Leveraging Large Models to Evaluate Novel Content: A Case Study on Advertisement Creativity
by: Hou, Zhaoyi Joey, et al.
Published: (2025)

Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards
by: He, Haoran, et al.
Published: (2025)

Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens
by: Ji, Jiahao, et al.
Published: (2025)

A Unified Modeling Framework for Automated Penetration Testing
by: Wang, Yunfei, et al.
Published: (2025)

JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence
by: Sun, Qiushi, et al.
Published: (2025)

AHBid: An Adaptable Hierarchical Bidding Framework for Cross-Channel Advertising
by: Yang, Xinxin, et al.
Published: (2026)

Galton's Law of Mediocrity: Why Large Language Models Regress to the Mean and Fail at Creativity in Advertising
by: Keon, Matt, et al.
Published: (2025)

Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework
by: Hu, Chengpeng, et al.
Published: (2026)

BenchCAD: A Comprehensive, Industry-Standard Benchmark for Programmatic CAD
by: Zhang, Haozhe, et al.
Published: (2026)

LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)

Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning
by: Song, Siyu, et al.
Published: (2025)

DeepMath-Creative: A Benchmark for Evaluating Mathematical Creativity of Large Language Models
by: Chen, Xiaoyang, et al.
Published: (2025)

CreativityPrism: A Holistic Evaluation Framework for Large Language Model Creativity
by: Hou, Zhaoyi Joey, et al.
Published: (2025)

Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation
by: Abolhasani, Mohammad Sadeq, et al.
Published: (2024)

Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT
by: Chang, Da, et al.
Published: (2025)

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation
by: Jiang, Yongqing, et al.
Published: (2026)

NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines
by: Wang, Guoan, et al.
Published: (2026)

Truthful Aggregation of LLMs with an Application to Online Advertising
by: Soumalias, Ermis, et al.
Published: (2024)

ActionEngine: From Reactive to Programmatic GUI Agents via State Machine Memory
by: Zhong, Hongbin, et al.
Published: (2026)

MedMASLab: A Unified Orchestration Framework for Benchmarking Multimodal Medical Multi-Agent Systems
by: Qian, Yunhang, et al.
Published: (2026)