Papers
8,127 papers found
A Survey on Bandit Learning in Matching Markets
Shuai Li, Zilong Wang, Fang Kong
A Survey on Model Repair in AI Planning
Pascal Bercher, Sarath Sreedharan, Mauro Vallati
A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions
Zihan Yang, Xiaohui Tao, Taotao Cai et al.
A Survey on One-To-Many Negotiation: A Taxonomy of Interdependency
Tamara C.P. Florijn, Pınar Yolum, Tim Baarslag
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
Pengfei Jiao, Hongjiang Chen, Xuan Guo et al.
A Survey on the Feedback Mechanism of LLM-based AI Agents
Zhipeng Liu, Xuefeng Bai, Kehai Chen et al.
A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling
Sergio M. Vanegas Arias, Lasse Lensu, Fredy Ruiz Palacios
Asymptotic Analysis of Weighted Fair Division
Pasin Manurangsi, Warut Suksompong, Tomohiko Yokoyama
Asymptotic Fair Division: Chores Are Easier Than Goods
Pasin Manurangsi, Warut Suksompong
Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning
Yongheng Liang, Hejun Wu, Haitao Wang et al.
A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
Shengjie Ren, Zimin Liang, Miqing Li et al.
A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution
Yueying Li, Hanbin Zhao, Jiaqing Zhou et al.
Attention-based Conditional Random Field for Financial Fraud Detection
Xiaoguang Wang, Chenxu Wang, Luyue Zhang et al.
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
Biao Yang, Muqi Huang, Yuhui Zhang et al.
Attractor-based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning
Alvin Zou, Muhammad Suhail Saleem, Maxim Likhachev
Attribute Association Driven Multi-Task Learning for Session-based Recommendation
Xinyao Wang, Zhizhi Yu, Dongxiao He et al.
A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation
Jeroen Spaans, Jesse Heyninck
A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models
Da-Wei Zhou, Han-Jia Ye
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution
Xiaohan Zheng, Lanning Wei, Yong Li et al.
Automated Detection of Pre-training Text in Black-box LLMs
Ruihan Hu, Yu-Ming Shang, Jiankun Peng et al.
Automated Strategy Invention for Confluence of Term Rewrite Systems
Liao Zhang, Fabian Mitterwallner, Jan Jakubuv et al.
Automated Superscalar Processor Design by Learning Data Dependencies
Shuyao Cheng, Rui Zhang, Wenkai He et al.
Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework
Yuting Hu, Dancheng Liu, Qingyun Wang et al.
Avoiding Undesired Future with Sequential Decisions
Lue Tao, Tian-Zuo Wang, Yuan Jiang et al.
A Weighted-Based Fast Local Search for α-Neighbor p-Center Problem
Qingyun Zhang, Zhipeng Lü, Junwen Ding et al.