Papers
When Bad Data Leads to Good Models
Kenneth Li, Yida Chen, Fernanda Viégas et al.
Taming Knowledge Conflicts in Language Models
Gaotang Li, Yuzhong Chen, Hanghang Tong
Large Language-Geometry Model: When LLM meets Equivariance
Zongzhao Li, Jiacheng Cen, Bing Su et al.
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
Jianze Li, Jiezhang Cao, Yong Guo et al.
The Underlying Universal Statistical Structure of Natural Datasets
Noam Itzhak Levi, Yaron Oz
The Double-Ellipsoid Geometry of CLIP
Meir Yossef Levi, Guy Gilboa
A Simple Model of Inference Scaling Laws
Noam Itzhak Levi
Attributes Shape the Embedding Space of Face Recognition Models
Pierrick Leroy, Antonio Mastropietro, Marco Nurisso et al.
Quantum Optimization via Gradient-Based Hamiltonian Descent
Jiaqi Leng, Bin Shi
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
Nicolas Lell, Ansgar Scherp
M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture
Hongyang Lei, Xiaolong Cheng, Qi Qin et al.
DRAG: Data Reconstruction Attack using Guided Diffusion
Wa-Kin Lei, Jun-Cheng Chen, Shang-Tse Chen
Efficient Distributed Optimization under Heavy-Tailed Noise
Su Hyeong Lee, Manzil Zaheer, Tian Li
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
Saehyung Lee, Seunghyun Yoon, Trung Bui et al.
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior
Ching-Hua Lee, Chouchang Yang, Jaejin Cho et al.
Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs
Jaejun Lee, Joyce Jiyoung Whang
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L Lee, William Toner, Rajkarn Singh et al.
Self-supervised Adversarial Purification for Graph Neural Networks
Woohyun Lee, Hogun Park
From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
Yoon Hyeok Lee, Jaemin Park, Taejin Paik et al.
Channel Normalization for Time Series Channel Identification
Seunghan Lee, Taeyoung Park, Kibok Lee
Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
Dohoon Lee, Jaehyun Park, Hyunwoo J. Kim et al.
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim et al.
Improved Online Confidence Bounds for Multinomial Logistic Bandits
Joongkyu Lee, Min-Hwan Oh
Combinatorial Reinforcement Learning with Preference Feedback
Joongkyu Lee, Min-Hwan Oh
Chip Placement with Diffusion Models
Vint Lee, Minh Nguyen, Leena Elzeiny et al.