Papers
11,951 papers found
Taming Transformer Without Using Learning Rate Warmup
Xianbiao Qi, Yelin He, Jiaquan Ye et al.
Tamper-Resistant Safeguards for Open-Weight LLMs
Rishub Tamirisa, Bhrugu Bharathi, Long Phan et al.
TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation
Haiyang Liu, Xingchao Yang, Tomoya Akiyama et al.
Targeted Attack Improves Protection against Unauthorized Diffusion Customization
Boyang Zheng, Chumeng Liang, Xiaoyu Wu
TASAR: Transfer-based Attack on Skeletal Action Recognition
Yunfeng Diao, Baiqi Wu, Ruixuan Zhang et al.
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
David Grangier, Simin Fan, Skyler Seto et al.
Task Descriptors Help Transformers Learn Linear Models In-Context
Ruomin Huang, Rong Ge
TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types
Jiankang Chen, Tianke Zhang, Changyi Liu et al.
TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident
Yixuan Zhou, Long Bai, Sijia Cai et al.
TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice
Shen Yan, Xingyan Bin, Sijun Zhang et al.
TDDBench: A Benchmark for Training data detection
Zhihao Zhu, Yi Yang, Defu Lian
TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard et al.
Teaching Human Behavior Improves Content Understanding Abilities Of VLMs
Somesh Kumar Singh, Harini S I, Yaman Kumar Singla et al.
Teaching LLMs How to Learn with Contextual Fine-Tuning
Younwoo Choi, Muhammad Adil Asif, Ziwen Han et al.
TeaserGen: Generating Teasers for Long Documentaries
Weihan Xu, Paul Pu Liang, Haven Kim et al.
TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction
Yunfei Liu, Lei Zhu, Lijian Lin et al.
Tell me about yourself: LLMs are aware of their learned behaviors
Jan Betley, Xuchan Bao, Martín Soto et al.
TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval
Leqi Shen, Tianxiang Hao, Tao He et al.
Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster
Patrick Schnell, Luca Guastoni, Nils Thuerey
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
Kangrui Du, Yuhang Wu, Shikuang Deng et al.
Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
Xinyu He, Dongqi Fu, Hanghang Tong et al.
Temporal Reasoning Transfer from Text to Video
Lei Li, Yuanxin Liu, Linli Yao et al.
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
Jeremy Andrew Irvin, Emily Ruoyu Liu, Joyce C. Chen et al.
TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark
Kush Jain, Gabriel Synnaeve, Baptiste Roziere
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin et al.