Papers
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
Zhuowei Li, Haizhou Shi, Yunhe Gao et al.
Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts
Gengluo Li, Huawen Shen, Yu Zhou
VIP: Vision Instructed Pre-training for Robotic Manipulation
Zhuoling Li, Liangliang Ren, Jinrong Yang et al.
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
Mingjia Li, Hong Qian, Tian-Zuo Wang et al.
SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
Jing-Jing Li, Valentina Pyatkin, Max Kleiman-Weiner et al.
PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Chenyu Li, Oscar Michel, Xichen Pan et al.
Modified K-means Algorithm with Local Optimality Guarantees
Mingyi Li, Michael R. Metel, Akiko Takeda
Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning
Yang Li, Jiale Ma, Yebin Yang et al.
Learning Input Encodings for Kernel-Optimal Implicit Neural Representations
Zhemin Li, Liyuan Ma, Hongxia Wang et al.
Optimal Auction Design in the Joint Advertising
Yang Li, Yuchao Ma, Qi Qi
Active Evaluation Acquisition for Efficient LLM Benchmarking
Yang Li, Jie Ma, Miguel Ballesteros et al.
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
Hao Li, Qi Lv, Rui Shao et al.
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
Shiwei Li, Xiandi Luo, Haozhao Wang et al.
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
Shiwei Li, Xiandi Luo, Xing Tang et al.
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
Boyuan Li, Yicheng Luo, Zhen Liu et al.
BECAME: Bayesian Continual Learning with Adaptive Model Merging
Mei Li, Yuxiang Lu, Qinyan Dai et al.
From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models
Xinyang Li, Siqi Liu, Bochao Zou et al.
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
Han Li, Fei Liu, Zhi Zheng et al.
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
Yuan Li, Zhengzhong Liu, Eric Xing
Local Identifying Causal Relations in the Presence of Latent Variables
Zheng Li, Zeyu Liu, Feng Xie et al.
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations
Yushuai Li, Hengyu Liu, Torben Bach Pedersen et al.
FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining
Dong Li, Yidi Liu, Xueyang Fu et al.
One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory
Yuhang Li, Tong Liu, Yangguang Cui et al.
R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts
Zhongyang Li, Ziyue Li, Tianyi Zhou