Papers
Large Language Model Unlearning
Yuanshun Yao, Xiaojun Xu, YangLiu
Large Language Model Unlearning via Embedding-Corrupted Prompts
Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan et al.
Large language model validity via enhanced conformal prediction methods
John J. Cherian, Isaac Gibbs, Emmanuel J. Candès
Large Pre-trained time series models for cross-domain Time series analysis tasks
Harshavardhan Kamarthi, B. Aditya Prakash
Large Scale Transfer Learning for Tabular Data via Language Modeling
Josh Gardner, Juan C. Perdomo, Ludwig Schmidt
Large Spatial Model: End-to-end Unposed Images to Semantic 3D
Zhiwen Fan, Jian Zhang, Wenyan Cong et al.
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
Yuhang Cai, Jingfeng Wu, Song Mei et al.
LaSCal: Label-Shift Calibration without target labels
Teodora Popordanoska, Gorjan Radevski, Tinne Tuytelaars et al.
LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction
Kanghao Chen, Hangyu Li, Jiazhou Zhou et al.
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities
Zaiwei Chen, Eric Mazumdar
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
Alessandro Montenegro, Marco Mussi, Matteo Papini et al.
Latent Diffusion for Neural Spiking Data
Jaivardhan Kapoor, Auguste Schulz, Julius Vetter et al.
Latent Functional Maps: a spectral framework for representation alignment
Marco Fumero, Marco Pegoraro, Valentino Maiorca et al.
Latent Intrinsics Emerge from Training to Relight
Xiao Zhang, William Gao, Seemandhar Jain et al.
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning
Gaia Molinaro, Cédric Colas, Pierre-Yves Oudeyer et al.
Latent Neural Operator for Solving Forward and Inverse PDE Problems
Tian Wang, Chuang Wang
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
Minki Kang, Sung Ju Hwang, Gibbeum Lee et al.
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
Deqian Kong, Dehong Xu, Minglu Zhao et al.
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin, Rishav Mukherji, Aditya Agrawal et al.
LAVIB: A Large-scale Video Interpolation Benchmark
Alexandros Stergiou
Layer-Adaptive State Pruning for Deep State Space Models
Minseon Gwak, Seongrok Moon, Joohwan Ko et al.
LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D
Zeng Tao, Tong Yang, Junxiong Lin et al.
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
Yaohua Zha, Naiqi Li, Yanzi Wang et al.
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems
Huaiyuan Ying, Zijian Wu, Yihan Geng et al.
Learnability Matters: Active Learning for Video Captioning
Yiqian Zhang, Buyu Liu, Jun Bao et al.