Papers
11,955 papers found
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Denny Zhou, Nathanael Schärli, Le Hou et al.
LemonNFV: Consolidating Heterogeneous Network Functions at Line Speed
Hao Li, Yihan Dang, Guangda Sun et al.
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets
Dinghuai Zhang, Hanjun Dai, Nikolay Malkin et al.
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Daehee Park, Hobin Ryu, Yunseo Yang et al.
Leveraging Importance Weights in Subset Selection
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar et al.
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson, David Wingate
Leveraging Unlabeled Data to Track Memorization
Mahsa Forouzesh, Hanie Sedghi, Patrick Thiran
Lexical Stress and Velar Palatalization in Italian: A spatio-temporal Interaction
Bowei Shao, Philipp Buech, Anne Hermes et al.
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
Tao Shen, Xiubo Geng, Chongyang Tao et al.
LiftedCL: Lifting Contrastive Learning for Human-Centric Perception
Ziwei Chen, Qiang Li, Xiaofeng Wang et al.
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai, Chao Huang, Lianghao Xia et al.
Light Sampling Field and BRDF Representation for Physically-based Neural Rendering
Jing Yang, Hanyuan Xiao, Wenbin Teng et al.
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish, Kamal Gupta, Saurabh Singh et al.
Limitless Stability for Graph Convolutional Networks
Christian Koke
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho et al.
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
Rui Yuan, Simon Shaolei Du, Robert M. Gower et al.
Linearly Mapping from Image to Text Space
Jack Merullo, Louis Castricato, Carsten Eickhoff et al.
Link Prediction with Non-Contrastive Learning
William Shiao, Zhichun Guo, Tong Zhao et al.
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
Xianbiao Qi, Jianan Wang, Yihao Chen et al.
Liquid Structural State-Space Models
Ramin Hasani, Mathias Lechner, Tsun-Hsuan Wang et al.
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
Zhihao Shi, Xize Liang, Jie Wang
LMSeg: Language-guided Multi-dataset Segmentation
Qiang Zhou, Yuang Liu, Chaohui Yu et al.
Localized Randomized Smoothing for Collective Robustness Certification
Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski et al.
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training
Tiansheng Huang, Sihao Hu, Ka-Ho Chow et al.
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
Chi Han, Qizheng He, Charles Yu et al.