All Papers
34,598 papers found • Page 564 of 692
Conference
Large Language Models Are Neurosymbolic Reasoners
Meng Fang, Shilong Deng, Yudi Zhang et al.
Large Language Models Are Not Robust Multiple Choice Selectors
Chujie Zheng, Hao Zhou, Fandong Meng et al.
Large Language Models as Analogical Reasoners
Michihiro Yasunaga, Xinyun Chen, Yujia Li et al.
Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Yuanfeng Ji, Chongjian GE, Weikai Kong et al.
Large Language Models as Generalizable Policies for Embodied Tasks
Andrew Szot, Max Schwarzer, Harsh Agrawal et al.
Large Language Models as Optimizers
Chengrun Yang, Xuezhi Wang, Yifeng Lu et al.
Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma et al.
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
Sungwon Han, Jinsung Yoon, Sercan Arik et al.
Large Language Models Cannot Self-Correct Reasoning Yet
Jie Huang, Xinyun Chen, Swaroop Mishra et al.
Large Language Models to Enhance Bayesian Optimization
Tennison Liu, Nicolás Astorga, Nabeel Seedat et al.
Large Motion Model for Unified Multi-Modal Motion Generation
Mingyuan Zhang, Daisheng Jin, Chenyang Gu et al.
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
Jinyi Hu, Yuan Yao, Chongyi Wang et al.
Large Occluded Human Image Completion via Image-Prior Cooperating
Hengrun Zhao, Yu Zeng, Huchuan Lu et al.
Large Scale Dataset Distillation with Domain Shift
Noel Loo, Alaa Maalouf, Ramin Hasani et al.
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps
Jordao Bragantini, Merlin Lange, Loïc A Royer
Large-Scale Multi-Robot Coverage Path Planning via Local Search
Jingtao Tang, Hang Ma
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
Qi Zhang, Yi Zhou, Ashley Prater-Bennette et al.
Large-scale Reinforcement Learning for Diffusion Models
Yinan Zhang, Eric Tzeng, Yilun Du et al.
Large-scale Training of Foundation Models for Wearable Biosignals
Salar Abbaspourazad, Oussama Elachqar, Andrew Miller et al.
Large-Vocabulary 3D Diffusion Model with Transformer
Ziang Cao, Fangzhou Hong, Tong Wu et al.
Larimar: Large Language Models with Episodic Memory Control
Payel Das, Subhajit Chaudhury, Elliot Nelson et al.
LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset
Haolin Liu, Chongjie Ye, Yinyu Nie et al.
LASER: Linear Compression in Wireless Distributed Optimization
Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels et al.
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
Ke Guo, Zhenwei Miao, Wei Jing et al.
LASO: Language-guided Affordance Segmentation on 3D Object
Yicong Li, Na Zhao, Junbin Xiao et al.
LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation
Jianan Li, Qiulei Dong
Latency Correction for Event-guided Deblurring and Frame Interpolation
Yixin Yang, Jinxiu Liang, Bohan Yu et al.
Latent 3D Graph Diffusion
Yuning You, Ruida Zhou, Jiwoong Park et al.
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging
Zongliang Wu, Ruiying Lu, Ying Fu et al.
Latent Diffusion Transformer for Probabilistic Time Series Forecasting
Authors: Shibo Feng, Chunyan Miao, Zhong Zhang et al.
LatentEditor: Text Driven Local Editing of 3D Scenes
Umar Khalid, Hasan Iqbal, Muhammad Tayyab et al.
Latent Guard: a Safety Framework for Text-to-image Generation
Runtao Liu, Ashkan Khakzar, Jindong Gu et al.
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics
Shishira R Maiya, Anubhav Anubhav, Matthew Gwilliam et al.
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
Xiangming Zhu, Huayu Deng, Haochen Yuan et al.
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Zitao Song, Chao Yang, Chaojie Wang et al.
Latent Modulated Function for Computational Optimal Continuous Image Representation
Zongyao He, Zhi Jin
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
Ben Lonnqvist, Zhengqing Wu, Michael Herzog
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
Xinlei Niu, Christian Walder, Jing Zhang et al.
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Marco Federici, Patrick Forré, Ryota Tomioka et al.
Latent Space Editing in Transformer-Based Flow Matching
Vincent Tao Hu, Wei Zhang, Meng Tang et al.
Latent Space Symmetry Discovery
Jianke Yang, Nima Dehmamy, Robin Walters et al.
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
Christopher Wewer, Kevin Raj, Eddy Ilg et al.
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
Qiuhao Zeng, Changjian Shui, Long-Kai Huang et al.
Latent variable model for high-dimensional point process with structured missingness
Maksim Sinelnikov, Manuel Haussmann, Harri Lähdesmäki
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time
Sensitive Test Construction - Yucheng Li, Frank Guerin, Chenghua Lin
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
Kevin Xie, Tianshi Cao, Jonathan P Lorraine et al.
LaViP: Language-Grounded Visual Prompting
Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi
LaWa: Using Latent Space for In-Generation Image Watermarking
Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar et al.
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
Runqi Lin, Chaojian Yu, Bo Han et al.
Layer Collaboration in the Forward-Forward Algorithm
Guy Lorberbom, Itai Gat, Yossi Adi et al.