Papers
172,654 papers found
Attacker’s Noise Can Manipulate Your Audio-based LLM in the Real World
Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews et al.
Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS
Bingyu Yan, Xiaoming Zhang, Ziyi Zhou et al.
Attention Retention for Continual Learning with Vision Transformers
Yue Lu, Xiangyu Zhou, Shizhou Zhang et al.
Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models
Yulin He, Wei Chen, Xinbiao Gan et al.
Attentive Keypoint Identification: Progressive Spatiotemporal Refinement for Video-based Human Pose Estimation
Sifan Wu, Haipeng Chen, Yingda Lyu et al.
Attribute-Controlled Translation with Preference Optimization
Inigo Jauregi Unanue, Najmeh Sadoughi, Vimal Bhat et al.
Attribute-guided Dynamic Prompt Learning for Graph Neural Networks
Zhuomin Liang, Liang Bai, Xian Yang
Attribution Analysis-based Concept Alignment: A Human-in-the-loop Data Debugging Framework
Lei Chai, Lu Qi, Hailong Sun et al.
Attribution-Guided Multi-Object Hallucination and Bias Detection in Vision-Language Models
Sirat Samyoun, Yingtai Xiao, Jian Du
Audio-Assisted Face Video Restoration with Temporal and Identity Complementary Learning
Yuqin Cao, Yixuan Gao, Wei Sun et al.
AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation
Potsawee Manakul, Woody Haosheng Gan, Michael J Ryan et al.
AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders
Georgii Aparin, Tasnima Sadekova, Alexey Rukhovich et al.
Audio-Thinker: Guiding Large Audio Language Model When and How to Think via Reinforcement Learning
Shu Wu, Chenxing Li, Wenfu Wang et al.
AuditAgent: LLM Agent for Risks Auditing in Recommender Systems
Du Su, Zhenxing Chen, Shilong Zhao et al.
Auditing Language Model Unlearning via Information Decomposition
Anmol Goel, Alan Ritter, Iryna Gurevych
AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction
Thomas Monninger, Md Zafar Anwar, Stanislaw Antol et al.
Augmentation-invariant Learning Strategy via Data Augmentation for Improving Model Generalization
Yu Miao, Juanjuan Zhao, Sijie Song et al.
Augmented Runtime Collaboration for Self-Organizing Multi-Agent Systems: A Hybrid Bi-Criteria Routing Approach
Qingwen Yang, Feiyu Qu, Tiezheng Guo et al.
Augmenting Human Creativity with Machine Learning
Hao-Wen Dong
Augmenting Intra-Modal Understanding in MLLMs for Robust Multimodal Keyphrase Generation
Jiajun Cao, Qinggang Zhang, Yunbo Tang et al.
Augmenting with NeRFs: Fast Relocalization on Densified Datasets
Michael Tomadakis, Rebecca Borissova, Yuxuan Zhang et al.
A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication
Angelo Rodio, Giovanni Neglia, Zheng Chen et al.
A Unified Diffusion-Based Framework for Multi-Agent Trajectory Prediction Integrating Structured Multi-Modal Representations
Chenxi Yang, Suyang Xi, Hong Ding et al.
A Unified Geospatial Clustering Framework to Identify Varying Density Clusters in E-Commerce Logistics
Arpit Tiwari, Bhavuk Singhal, Anshu Aditya et al.
A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning
Meng Xu, Xinhong Chen, Zhongying Chen et al.