Spotlight Papers
1,421 papers found • Page 10 of 29
MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
Pucheng Dang, Di Huang, Dong Li et al.
Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem et al.
Minimax Adaptive Online Nonparametric Regression over Besov spaces
Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap
Shixiang Liu
Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics
Minseok Jeong, Giup Seo, Euiseok Hwang
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
Linxi Zhao, Yihe Deng, Weitong Zhang et al.
Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy
Xiang Li, Chendi Wang, Buxin Su et al.
MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference
Haibo Tong, Zhaoyang Wang, Zhaorun Chen et al.
MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
Yuan Chiang, Tobias Kreiman, Christine Zhang et al.
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Chaoyou Fu, Peixian Chen, Yunhang Shen et al.
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
Zhaowei Wang, Wenhao Yu, Xiyu REN et al.
MoBA: Mixture of Block Attention for Long-Context LLMs
Enzhe Lu, Zhejun Jiang, Jingyuan Liu et al.
MoCha: Towards Movie-Grade Talking Character Generation
Cong Wei, Bo Sun, Haoyu Ma et al.
MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding
Zhicheng Zhang, Wuyou Xia, Chenxi Zhao et al.
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
Xiyuan Wei, Ming Lin, Fanjiang Ye et al.
ModHiFi: Identifying High Fidelity predictive components for Model Modification
Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak et al.
MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE
Zongle Huang, Lei Zhu, ZongYuan Zhan et al.
MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention
Can Yaras, Alec Xu, Pierre Abillama et al.
Monte Carlo Tree Diffusion for System 2 Planning
Jaesik Yoon, Hyeonseo Cho, Doojin Baek et al.
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport
Tuan Dam, Pascal Stenger, Lukas Schneider et al.
🎧MOSPA: Human Motion Generation Driven by Spatial Audio
Shuyang Xu, Zhiyang Dou, Mingyi Shi et al.
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
Shuqing Luo, Ye Han, Pingzhi Li et al.
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Huanjin Yao, Jiaxing Huang, Wenhao Wu et al.
Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.
Multi-agent Markov Entanglement
Shuze Chen, Tianyi Peng
Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare
Kira Goldner, Taylor Lundy
Multitask Learning with Stochastic Interpolants
Hugo Negrel, Florentin Coeurdoux, Michael Albergo et al.
Multi-Turn Code Generation Through Single-Step Rewards
Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen et al.
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation
Xinyu Yang, Yuwei An, Hongyi Liu et al.
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
Ehsan Sharifian, Saber Salehkaleybar, Negar Kiyavash
Nemotron-CLIMB: Clustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
Shizhe Diao, Yu Yang, Yonggan Fu et al.
Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection
Yu Guo, Shengfeng He, Yuxu Lu et al.
Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
Jan Philipp Schneider, Pratik S. Bisht, Ilya Chugunov et al.
Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime
Diyuan Wu, Marco Mondelli
Neural Entropy
Akhil Premkumar
New Bounds for Sparse Variational Gaussian Processes
Michalis Titsias
Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
Lucas Morisset, Adrien Hardy, Alain Durmus
Non-Clairvoyant Scheduling with Progress Bars
Ziyad Benomar, Romain Cosson, Alexander Lindermayr et al.
Nonlinear Laplacians: Tunable principal component analysis under directional prior information
Yuxin Ma, Dmitriy Kunisky
Nonparametric Teaching for Graph Property Learners
Chen Zhang, Weixin Bu, Zeyi Ren et al.
Non-stationary Diffusion For Probabilistic Time Series Forecasting
Weiwei Ye, Zhuopeng Xu, Ning Gui
NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data
Azadeh Motamedi, Jae-Mo Kang, Il-Min Kim
No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks
Attila Szász, Balázs Bánhelyi, Mark Jelasity
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
Yuxuan Yang, Dalin Zhang, Yuxuan Liang et al.
Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks
Lukas Braun, Erin Grant, Andrew Saxe
Not All Wrong is Bad: Using Adversarial Examples for Unlearning
Ali Ebrahimpour-Boroojeny, Hari Sundaram, Varun Chandrasekaran
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer, Kenneth Eaton, Jonathan Balloch et al.
Object-centric 3D Motion Field for Robot Learning from Human Videos
Zhao-Heng Yin, Sherry Yang, Pieter Abbeel
OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement
Ye Tian, Angela McCarthy, Gabriel Gomide et al.
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
Runze Yan, Xun Shen, Akifumi Wachi et al.