Papers
21,849 papers found
Autoregressive Image Generation without Vector Quantization
Tianhong Li, Yonglong Tian, He Li et al.
Autoregressive Policy Optimization for Constrained Allocation Tasks
David Winkel, Niklas Strauß, Maximilian Bernhard et al.
AutoSurvey: Large Language Models Can Automatically Write Surveys
Yidong Wang, Qi Guo, Wenjin Yao et al.
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Yong Liu, Guo Qin, Xiangdong Huang et al.
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
Shirley Wu, Shiyu Zhao, Qian Huang et al.
AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting
Mingfei Chen, Eli Shlizerman
Average gradient outer product as a mechanism for deep neural collapse
Daniel Beaglehole, Peter Súkeník, Marco Mondelli et al.
AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations
Haiyu Zhao, Lei Tian, Xinyan Xiao et al.
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation
Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su et al.
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis
Lei Huang, Lei Xiong, Na Sun et al.
AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis
Swapnil Bhosale, Haosen Yang, Diptesh Kanojia et al.
Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments
Wen-Bo Du, Tian Qin, Tian-Zuo Wang et al.
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff et al.
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Yuhan Zhu, Yuyang Ji, Zhiyu Zhao et al.
Axioms for AI Alignment from Human Feedback
Luise Ge, Daniel Halpern, Evi Micha et al.
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
Yuri Kuratov, Aydar Bulatov, Petr Anokhin et al.
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
Jiongxiao Wang, Jiazhao Li, Yiquan Li et al.
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
Xiao Lin, Zhining Liu, Dongqi Fu et al.
Back to the Continuous Attractor
Ábel Ságodi, Guillermo Martín-Sánchez, Piotr Sokół et al.
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
Qijun Luo, Hengxu Yu, Xiao Li
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
Zhao XU, Fan LIU, Hao LIU
BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar, Zhuoran Peng, Lerrel Pinto
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
Matthew Riemer, Khimya Khetarpal, Janarthanan Rajendran et al.
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts
Qizhen Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar et al.
Banded Square Root Matrix Factorization for Differentially Private Model Training
Nikita Kalinin, Christoph Lampert