Papers
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
Xinyi Wang, Wanrong Zhu, Michael Saxon et al.
Large Language Models Are Semi-Parametric Reinforcement Learning Agents
Danyang Zhang, Lu Chen, Situo Zhang et al.
Large Language Models are Visual Reasoning Coordinators
Liangyu Chen, Bo Li, Sheng Shen et al.
Large Language Models Are Zero-Shot Time Series Forecasters
Nate Gruver, Marc Finzi, Shikai Qiu et al.
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Zirui Zhao, Wee Sun Lee, David Hsu
Large Language Models can Implement Policy Iteration
Ethan Brooks, Logan Walls, Richard L Lewis et al.
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Noah Hollmann, Samuel Müller, Frank Hutter
Large Language Models of Code Fail at Completing Code with Potential Bugs
Tuan Dinh, Jinman Zhao, Samson Tan et al.
Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows
David Skrill, Samuel Norman-Haignere
Large-Scale Distributed Learning via Private On-Device LSH
Tahseen Rabbani, Marco Bornstein, Furong Huang
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Xu Liu, Yutong Xia, Yuxuan Liang et al.
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer
Haoyu Chen, Hao Tang, Radu Timofte et al.
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang et al.
Latent Diffusion for Language Generation
Justin Lovelace, Varsha Kishore, Chao Wan et al.
Latent exploration for Reinforcement Learning
Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Huang et al.
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields
Miltiadis (Miltos) Kofinas, Erik Bekkers, Naveen Nagaraja et al.
Latent Graph Inference with Limited Supervision
Jianglin Lu, Yi Xu, Huan Wang et al.
Latent SDEs on Homogeneous Spaces
Sebastian Zeng, Florian Graf, Roland Kwitt
Latent Space Translation via Semantic Alignment
Valentino Maiorca, Luca Moschella, Antonio Norelli et al.
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
Stefano Massaroli, Michael Poli, Dan Fu et al.
Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs
Muhammed Fatih Balin, Ümit Çatalyürek
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
Weixi Feng, Wanrong Zhu, Tsu-Jui Fu et al.
LayoutPrompter: Awaken the Design Ability of Large Language Models
Jiawei Lin, Jiaqi Guo, Shizhao Sun et al.
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
Julia Linhart, Alexandre Gramfort, Pedro Rodrigues