Imagen de Portada

LLM Advertisement based on Neuron Auctions

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yun, Peiran, Xu, Wenxin, Liu, Jiayuan, Zhang, Yihang, Zeng, Liang, Kong, Lingkai, Wang, Tonghan
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

NaiAD: Initiate Data-Driven Research for LLM Advertising
por: Zhang, Yihang, et al.
Publicado: (2026)

Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
por: Kong, Lingkai, et al.
Publicado: (2025)

LLM-Auction: Generative Auction towards LLM-Native Advertising
por: Zhao, Chujie, et al.
Publicado: (2025)

Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models
por: Liu, Jiayuan, et al.
Publicado: (2026)

GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning
por: Wang, Tonghan, et al.
Publicado: (2024)

How LLMs Are Persuaded: A Few Attention Heads, Rerouted
por: Sun, Xiangkun, et al.
Publicado: (2026)

Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
por: Verma, Shresth, et al.
Publicado: (2024)

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
por: Kong, Lingkai, et al.
Publicado: (2025)

Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
por: Kamarthi, Harshavardhan, et al.
Publicado: (2024)

Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective
por: Wang, Haichuan, et al.
Publicado: (2026)

What is the Right Notion of Distance between Predict-then-Optimize Tasks?
por: Rodriguez-Diaz, Paula, et al.
Publicado: (2024)

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
por: Zhu, Yuchen, et al.
Publicado: (2024)

DistDD: Distributed Data Distillation Aggregation through Gradient Matching
por: Wang, Peiran, et al.
Publicado: (2024)

Curvature Dynamic Black-box Attack: revisiting adversarial robustness via dynamic curvature estimation
por: Sun, Peiran
Publicado: (2025)

Decomposition-based multi-scale transformer framework for time series anomaly detection
por: Zhang, Wenxin, et al.
Publicado: (2025)

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
por: Liu, Haoxin, et al.
Publicado: (2024)

DF2: Distribution-Free Decision-Focused Learning
por: Kong, Lingkai, et al.
Publicado: (2023)

Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation
por: Kong, Lingkai, et al.
Publicado: (2025)

Light Alignment Improves LLM Safety via Model Self-Reflection with a Single Neuron
por: Shen, Sicheng, et al.
Publicado: (2026)

Wasserstein Distances, Neuronal Entanglement, and Sparsity
por: Sawmya, Shashata, et al.
Publicado: (2024)

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

Neuronal Attention Circuit (NAC) for Representation Learning
por: Razzaq, Waleed, et al.
Publicado: (2025)

Evaluating LLM Agent Collusion in Double Auctions
por: Agrawal, Kushal, et al.
Publicado: (2025)

Generalization in LLM Problem Solving: The Case of the Shortest Path
por: Tong, Yao, et al.
Publicado: (2026)

Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning
por: Razzaq, Waleed, et al.
Publicado: (2026)

No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks
por: Fan, Feng-Lei, et al.
Publicado: (2024)

MIN-Merging: Merge the Important Neurons for Model Merging
por: Liang, Yunfei
Publicado: (2025)

Beyond First-Order: Training LLMs with Stochastic Conjugate Subgradients and AdamW
por: Zhang, Di, et al.
Publicado: (2025)

LLM-Augmented Chemical Synthesis and Design Decision Programs
por: Wang, Haorui, et al.
Publicado: (2025)

ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
por: Li, Peiran, et al.
Publicado: (2026)

Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning
por: Su, Xuerui, et al.
Publicado: (2025)

NeuronSeek: On Stability and Expressivity of Task-driven Neurons
por: Pei, Hanyu, et al.
Publicado: (2025)

AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
por: Su, Kefan, et al.
Publicado: (2024)

Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
por: Vahedifar, Mohammad Ali, et al.
Publicado: (2026)

NeuRel-Attack: Neuron Relearning for Safety Disalignment in Large Language Models
por: Zhou, Yi, et al.
Publicado: (2025)

ARM: Role-Conditioned Neuron Transplantation for Training-Free Generalist LLM Agent Merging
por: Feng, Zhuoka, et al.
Publicado: (2026)

Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs
por: Du, Yuwei, et al.
Publicado: (2024)

Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits
por: Gangopadhyay, Briti, et al.
Publicado: (2025)

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
por: Zhang, Rongzhi, et al.
Publicado: (2025)

Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline
por: Li, Shuhao, et al.
Publicado: (2024)