Papers
11,955 papers found
Tailoring Self-Rationalizers with Multi-Reward Distillation
Sahana Ramnath, Brihi Joshi, Skyler Hallinan et al.
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Zuxin Liu, Jesse Zhang, Kavosh Asadi et al.
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen et al.
Talk like a Graph: Encoding Graphs for Large Language Models
Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
Tangent Transformers for Composition,Privacy and Removal
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
TANGO: Secure Collaborative Route Control across the Public Internet
Henry Birge-Lee, Sophia Yoo, Benjamin Herber et al.
TapMo: Shape-aware Motion Generation of Skeleton-free Characters
Jiaxu Zhang, Shaoli Huang, Zhigang Tu et al.
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models
Zhen Chen, Yi Zhang, Fu Wang et al.
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
Yucheng Yang, Tianyi Zhou, Qiang He et al.
Task Planning for Visual Room Rearrangement under Partial Observability
Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.
Task structure and nonlinearity jointly determine learned representational geometry
Matteo Alleman, Jack Lindsey, Stefano Fusi
T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy
Fan Duan, Jiahao Yu, Li Chen
TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen, Hao Su, Xiaolong Wang
Teach CLIP to Develop a Number Sense for Ordinal Regression
Yao DU, Qiang Zhai, Weihang Dai et al.
Teaching Arithmetic to Small Transformers
Nayoung Lee, Kartik Sreenivasan, Jason D. Lee et al.
Teaching Language Models to Hallucinate Less with Synthetic Tasks
Erik Jones, Hamid Palangi, Clarisse Simões Ribeiro et al.
Teaching Large Language Models to Self-Debug
Xinyun Chen, Maxwell Lin, Nathanael Schärli et al.
Teach LLMs to Phish: Stealing Private Information from Language Models
Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang et al.
TEDDY: Trimming Edges with Degree-based Discrimination Strategy
Hyunjin Seo, Jihun Yun, Eunho Yang
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu et al.
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Defu Cao, Furong Jia, Sercan O Arik et al.
Temporal Generalization Estimation in Evolving Graphs
Bin Lu, Tingyan Ma, Xiaoying Gan et al.
Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks
Greg Yang, Dingli Yu, Chen Zhu et al.
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
Sam Toyer, Olivia Watkins, Ethan Adrian Mendes et al.
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
Hyunwook Lee, Sungahn Ko