Papers
A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation
Francesco Doria, Francesco Percassi, Marco Maratea et al.
Advanced Black-Box Tuning of Large Language Models with Limited API Calls
Zhikang Xie, Weilin Wan, Peizhu Gong et al.
Advancing African NLP: UDMorph and flexiPipe
Maarten Janssen
Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation
Liu He, Xiao Zeng, Yizhi Song et al.
Advancing Multimodal Teacher Sentiment Analysis: The Large-Scale T-MED Dataset & the Effective AAM-TSA Model
Zhiyi Duan, Xiangren Wang, Hongyu Yuan et al.
Advancing Player Identification and Tracking with Global ID Fusion (GIF)
Karol Wojtulewicz, Minxing Liu, Niklas Carlsson
Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization
Mingming Zhu, Jiahua Rao, Xiaoyu Chen et al.
Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards
Muhammad Hamza Yousuf, Jason Li, Sahar Vahdati et al.
AdvBDGen: A Robust Framework for Generating Adaptive and Stealthy Backdoors in LLM Alignment
Pankayaraj Pathmanathan, Udari Madhushani Sehwag, Michael-Andrei Panaitescu-Liess et al.
Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation
Jianming Chen, Yawen Wang, Junjie Wang et al.
Adversarial Decoding: Generating Readable Documents for Adversarial Objectives
Collin Zhang, Tingwei Zhang, Vitaly Shmatikov
Adversarial Fair Incomplete Multi-View Clustering
Qianqian Wang, Haiming Xu, Wei Feng et al.
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
Jiangfan Liu, Yongkang Guo, Fangzhi Zhong et al.
Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa et al.
AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double-Reconstruction
Chao Wang, Zijin Yang, Yaofei Wang et al.
AEFGL: Reverse Auction and Value Evaluation-Based Federated Graph Learning Incentive Mechanism (Student Abstract)
Xin Chang, Lixin Liu, Jingyu Wang et al.
AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection
Dongmin Kim, Ye Seul Sim, Suhee Yoon et al.
AEON: Adaptive Embedding Optimized Noise for Robust Watermarking in Diffusion Models
Muhammad Shahid Muneer, Simon S. Woo
AerialFusion: Co-Motion-Driven Unified Registration and Fusion on Multi-modal Data Streams from Aerial View
Junhui Qiu, Xiang Xiang, Hongyun Wang et al.
AerialMind: Towards Referring Multi-Object Tracking in UAV Scenarios
Chenglizhao Chen, Shaofeng Liang, Runwei Guan et al.
AerialVLA: A Vision-Language-Action Model for Aerial Navigation with Online Dialogue
Jinyu Chen, Hongyu Li, Zongheng Tang et al.
A Fast Heuristic Search Approach for Energy-Optimal Profile Routing for Electric Vehicles
Saman Ahmadi, Mahdi Jalili
A Fast, Simple, and Flexible Scale Informative Feature Transform Module for Arbitrary Scale Image Super-Resolution
Aupendu Kar, Prabir Kumar Biswas