Papers
11,015 papers found
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
Minyoung Kim, Timothy Hospedales
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer et al.
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models
Dvir Samuel, Barak Meiri, Haggai Maron et al.
Lightweight Neural App Control
Filippos Christianos, Georgios Papoudakis, Thomas Coste et al.
Lightweight Predictive 3D Gaussian Splats
Junli Cao, Vidit Goel, Chaoyang Wang et al.
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubic, Federico Soldà, Aurelio Sulser et al.
Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data
Florian E. Dorner, Vivian Yvonne Nastl, Moritz Hardt
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
Enshu Liu, Junyi Zhu, Zinan Lin et al.
Linear combinations of latents in generative models: subspaces and beyond
Erik Bodin, Alexandru I. Stere, Dragos D Margineantu et al.
Linear Mode Connectivity in Differentiable Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models
Yuchen Liang, Xiangzhong Fang, Hanting Chen et al.
Linear Partial Gromov-Wasserstein Embedding
Yikun Bai, Abihith Kothapalli, Hengrong Du et al.
Linear Representations of Political Perspective Emerge in Large Language Models
Junsol Kim, James Evans, Aaron Schein
Linear SCM Identification in the Presence of Confounders and Gaussian Noise
Vahideh Sanjaroonpouri, Pouria Ramazi
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
Xinran Liu, Yikun Bai, Rocio Diaz Martin et al.
Linear Transformer Topological Masking with Graph Random Features
Isaac Reid, Kumar Avinava Dubey, Deepali Jain et al.
Lines of Thought in Large Language Models
Raphaël Sarfati, Toni J.B. Liu, Nicolas Boulle et al.
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
Ke Wang, Nikolaos Dimitriadis, Alessandro Favero et al.
Lipschitz Bandits in Optimal Space
Xiaoyi Zhu, Zengfeng Huang
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
Colin White, Samuel Dooley, Manley Roberts et al.
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Naman Jain, King Han, Alex Gu et al.
LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content
Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh et al.
LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing
Ruisi Cai, Saurav Muralidharan, Hongxu Yin et al.
LLaMA-Omni: Seamless Speech Interaction with Large Language Models
Qingkai Fang, Shoutao Guo, Yan Zhou et al.
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
Xiang Li, Cristina Mata, Jongwoo Park et al.