Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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85,621 to 85,680 of 103,568

Neural Program Repair by Jointly Learning to Localize and Repair
Marko Vasic, Aditya Kanade, Petros Maniatis +2
cs.LGstat.MLarXiv:1904.01720v12019
A decodability criterion predicts when hidden-state selection beats majority voting in large language models
Zhixiang wang, Ziliang Hong, Ulas Bagci
cs.AIarXiv:2608.17124v12026
CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
Zhiyuan Pan, Xing Hu, Xin Xia +1
cs.SEcs.AIarXiv:2406.03283v22024
GP-VAE: Deep Probabilistic Time Series Imputation
Vincent Fortuin, Dmitry Baranchuk, Gunnar Rätsch +1
stat.MLcs.LGarXiv:1907.04155v52019
5G Cellular: Key Enabling Technologies and Research Challenges
Ekram Hossain, Monowar Hasan
cs.NIarXiv:1503.00674v12015
Optimal Tap Setting of Voltage Regulation Transformers Using Batch Reinforcement Learning
Hanchen Xu, Alejandro D. Domínguez-García, Peter W. Sauer
math.OCcs.LGarXiv:1807.10997v22018
TEA: Temporal Excitation and Aggregation for Action Recognition
Yan Li, Bin Ji, Xintian Shi +3
cs.CVarXiv:2004.01398v12020
Randomized Matvec Lower Bounds for Simplex-Based Matrix Games
Wendao Wu, Cong Fang
math.OCcs.DSarXiv:2610.02095v12026
Enhancing Small Language Models for Power Outage Report Generation via Minimum Risk Training
Hung Phan, Waqwoya Abebe, Youssef Hussein +3
cs.AIarXiv:2609.27197v12026
OpenTumorBoard: A Real-World Benchmark of Multidisciplinary Tumor Board Discussion Trajectories
Anqi Li, Zhixuan Ge, Yixuan Duan +9
cs.CLcs.LGarXiv:2609.32810v22026
Timely Activation of Safety Filters via One-Step Reachability Expansion
Javier Borquez
cs.ROarXiv:2609.17904v12026
Variational Inference: A Review for Statisticians
David M. Blei, Alp Kucukelbir, Jon D. McAuliffe
stat.COcs.LGstat.MLarXiv:1601.00670v92016
Trust Your Guide Only When Certain: Uncertainty-Aware Sparse Alignment at Inference Time
Zeen Zhu, Zhuo Li, Weiyang Guo +4
cs.CLarXiv:2609.00624v12026
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Rabeeh Karimi Mahabadi, James Henderson, Sebastian Ruder
cs.CLarXiv:2106.04647v22021
Cross-lingual Representation Learning via Centroid Intervention Fusion
Wei Sun, Marie-Francine Moens
cs.CLarXiv:2608.26357v12026
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
Yuxiang Fu, Qi Yan, Lele Wang +2
cs.CVcs.AIcs.LGarXiv:2503.09950v12025
ACPO: AI-Enabled Compiler Framework
Amir H. Ashouri, Muhammad Asif Manzoor, Duc Minh Vu +7
cs.PLcs.AIcs.LGarXiv:2312.09982v42023
Tensorizing Neural Networks
Alexander Novikov, Dmitry Podoprikhin, Anton Osokin +1
cs.LGcs.NEarXiv:1509.06569v22015
Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography
Sarah Leclerc, Erik Smistad, João Pedrosa +11
eess.IVarXiv:1908.06948v22019
Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation
Inclusion AI, :, Bowen Ma +73
cs.CVcs.AIarXiv:2510.24821v32025
Cross-Domain Pretraining for Steady-State Neural CFD Surrogates
Anthony Zhou, Amir Barati Farimani, Shirley Ho +1
cs.LGarXiv:2610.10398v12026
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Jingyi Zhang, Jiaxing Huang, Huanjin Yao +4
cs.AIcs.CLcs.CVarXiv:2503.12937v22025
Instances as Queries
Yuxin Fang, Shusheng Yang, Xinggang Wang +5
cs.CVarXiv:2105.01928v32021
Dimension-independent likelihood-informed MCMC
Tiangang Cui, Kody J. H. Law, Youssef M. Marzouk
stat.COmath.NAstat.MEarXiv:1411.3688v22014
Combating Misinformation in the Age of LLMs: Opportunities and Challenges
Canyu Chen, Kai Shu
cs.CYarXiv:2311.05656v12023
Kernel Transformer Networks for Compact Spherical Convolution
Yu-Chuan Su, Kristen Grauman
cs.CVarXiv:1812.03115v22018
Accurate Reconstruction of Gas Turbine Blade Geometry Using 3D/2D Rigid Registration and CT View Optimization
Hristo Valtchanov, Nicolas Piché, Vladimir Brailovski +3
cs.CVarXiv:2609.01368v12026
PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation
Ruidi Chang, Jiawei Zhou, Hanjie Chen
cs.CLarXiv:2603.22754v12026
Unified Multi-plane Autoregressive Diffusion for 3D Multi-contrast MRI Synthesis
Yejee Shin, Geonhui Son, Jinglu Wang +3
cs.CVarXiv:2610.09376v12026
What Does Prompt Learning Change? -A Natural-Language Concept Analysis of Vision-Language Models
Ryo Kamiya, Hiroshi Kera, Kazuhiko Kawamoto
cs.CVarXiv:2608.24142v12026
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma, Tim Salimans, Max Welling
stat.MLcs.LGstat.COarXiv:1506.02557v22015
MultiWorld: Scalable Multi-Agent Multi-View Video World Models
Haoyu Wu, Jiwen Yu, Yingtian Zou +1
cs.CVarXiv:2604.18564v22026
Randomized Sketches of Convex Programs with Sharp Guarantees
Mert Pilanci, Martin J. Wainwright
cs.ITcs.DSmath.OCarXiv:1404.7203v12014
Demystifying Orthogonal Monte Carlo and Beyond
Han Lin, Haoxian Chen, Tianyi Zhang +2
cs.LGstat.MLarXiv:2005.13590v12020
Rank Aggregation via Nuclear Norm Minimization
David F. Gleich, Lek-Heng Lim
math.NAarXiv:1102.4821v12011
Theory and Applications of Robust Optimization
Dimitris Bertsimas, David B. Brown, Constantine Caramanis
math.OCcs.CEarXiv:1010.5445v12010
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
Xinsheng Wang, Mingqi Jiang, Ziyang Ma +22
cs.SDcs.AIeess.ASarXiv:2503.01710v12025
DriveGAN: Towards a Controllable High-Quality Neural Simulation
Seung Wook Kim, Jonah Philion, Antonio Torralba +1
cs.CVcs.ROarXiv:2104.15060v12021
On the Pricing of American Options under Stochastic Local Volatility and Stochastic Correlation via the RBSDE Framework
Long Teng
q-fin.CPcs.NAmath.NAarXiv:2610.01187v12026
Inverse Statistical Physics of Protein Sequences: A Key Issues Review
Simona Cocco, Christoph Feinauer, Matteo Figliuzzi +2
q-bio.BMcond-mat.stat-mechq-bio.QMarXiv:1703.01222v12017
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw, Sahil Singla, Soheil Feizi
cs.LGcs.CVstat.MLarXiv:2006.12655v42020
AutoFlow: Learning a Better Training Set for Optical Flow
Deqing Sun, Daniel Vlasic, Charles Herrmann +6
cs.CVarXiv:2104.14544v12021
Identifiability of Nonnegative Tensor Decompositions via Positive Scattering
Haoming Wang, Ming Yuan
stat.MLcs.LGmath.COarXiv:2609.11606v12026
Most Influential Subset Selection: Challenges, Promises, and Beyond
Yuzheng Hu, Pingbang Hu, Han Zhao +1
cs.LGstat.MLarXiv:2409.18153v22024
Naive Bayes and Text Classification I - Introduction and Theory
Sebastian Raschka
cs.LGarXiv:1410.5329v42014
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning
Minne Li, Zhiwei, Qin +7
cs.MAarXiv:1901.11454v12019
Semantics-Empowered Communication for Networked Intelligent Systems
Marios Kountouris, Nikolaos Pappas
cs.ITcs.NIeess.SParXiv:2007.11579v32020
Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
Huazhu Fu, Boyang Wang, Jianbing Shen +4
cs.CVarXiv:1907.05345v42019
3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code
Yipeng Gao, Lei Shu, Genzhi Ye +5
cs.CVcs.AIcs.GRarXiv:2606.01057v12026
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Rui Huang, Yixuan Li
cs.CVcs.LGarXiv:2105.01879v12021
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang, Rein Houthooft, Davis Foote +6
cs.AIcs.LGarXiv:1611.04717v32016
Cross-Domain Adaptation for Animal Pose Estimation
Jinkun Cao, Hongyang Tang, Hao-Shu Fang +3
cs.CVarXiv:1908.05806v22019
Joint Power and 3D Trajectory Optimization for UAV-enabled Wireless Powered Communication Networks with Obstacles
Hongyang Pan, Yanheng Liu, Geng Sun +3
eess.SYcs.SYarXiv:2310.00384v12023
Towards Comprehensive Basketball Understanding
Yirong Hu, Jiayuan Rao, Yu Zhang +2
cs.CVcs.AIarXiv:2608.23435v12026
Compositional Generalization via Structural Identification in a Category-Theoretic Framework
Akihiro Maeda, Thomas Seiller, Yohei Oseki
cs.CLstat.MLarXiv:2608.26465v12026
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Bing Yu, Haoteng Yin, Zhanxing Zhu
cs.LGstat.MLarXiv:1709.04875v42017
Exploratory As-Analyzed No-Detection of Culturally-Marked Predicate-Triggered PII Amplification in a Synthetic-English RAG Probe: A Predicate-Resource-Confounded Audit
Yanhang Li, Zhichao Fan, Zexin Zhuang
cs.CLcs.CYcs.LGarXiv:2608.20351v12026
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
Ruiqi Zhang, Licong Lin, Yu Bai +1
cs.LGcs.AIcs.CLarXiv:2404.05868v22024
A vector-contraction inequality for Rademacher complexities
Andreas Maurer
cs.LGstat.MLarXiv:1605.00251v12016
Direct Vector Field Guidance for Path Following
Amit Shivam, Nikhil Kumar Singh, Luís Tiago Paiva +1
eess.SYcs.SYarXiv:2610.13576v12026

Every paper with a summary

Neural Program Repair by Jointly Learning to Localize and Repair

A decodability criterion predicts when hidden-state selection beats majority voting in large language models

CATCODER: Repository-Level Code Generation with Relevant Code and Type Context

GP-VAE: Deep Probabilistic Time Series Imputation

5G Cellular: Key Enabling Technologies and Research Challenges

Optimal Tap Setting of Voltage Regulation Transformers Using Batch Reinforcement Learning

TEA: Temporal Excitation and Aggregation for Action Recognition

Randomized Matvec Lower Bounds for Simplex-Based Matrix Games

Enhancing Small Language Models for Power Outage Report Generation via Minimum Risk Training

OpenTumorBoard: A Real-World Benchmark of Multidisciplinary Tumor Board Discussion Trajectories

Timely Activation of Safety Filters via One-Step Reachability Expansion

Variational Inference: A Review for Statisticians

Trust Your Guide Only When Certain: Uncertainty-Aware Sparse Alignment at Inference Time

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

Cross-lingual Representation Learning via Centroid Intervention Fusion

MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation

ACPO: AI-Enabled Compiler Framework

Tensorizing Neural Networks

Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

Cross-Domain Pretraining for Steady-State Neural CFD Surrogates

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Instances as Queries

Dimension-independent likelihood-informed MCMC

Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Kernel Transformer Networks for Compact Spherical Convolution

Accurate Reconstruction of Gas Turbine Blade Geometry Using 3D/2D Rigid Registration and CT View Optimization

PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation

Unified Multi-plane Autoregressive Diffusion for 3D Multi-contrast MRI Synthesis

What Does Prompt Learning Change? -A Natural-Language Concept Analysis of Vision-Language Models

Variational Dropout and the Local Reparameterization Trick

MultiWorld: Scalable Multi-Agent Multi-View Video World Models

Randomized Sketches of Convex Programs with Sharp Guarantees

Demystifying Orthogonal Monte Carlo and Beyond

Rank Aggregation via Nuclear Norm Minimization

Theory and Applications of Robust Optimization

Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

DriveGAN: Towards a Controllable High-Quality Neural Simulation

On the Pricing of American Options under Stochastic Local Volatility and Stochastic Correlation via the RBSDE Framework

Inverse Statistical Physics of Protein Sequences: A Key Issues Review

Perceptual Adversarial Robustness: Defense Against Unseen Threat Models

AutoFlow: Learning a Better Training Set for Optical Flow

Identifiability of Nonnegative Tensor Decompositions via Positive Scattering

Most Influential Subset Selection: Challenges, Promises, and Beyond

Naive Bayes and Text Classification I - Introduction and Theory

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

Semantics-Empowered Communication for Networked Intelligent Systems

Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces

3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Cross-Domain Adaptation for Animal Pose Estimation

Joint Power and 3D Trajectory Optimization for UAV-enabled Wireless Powered Communication Networks with Obstacles

Towards Comprehensive Basketball Understanding

Compositional Generalization via Structural Identification in a Category-Theoretic Framework

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Exploratory As-Analyzed No-Detection of Culturally-Marked Predicate-Triggered PII Amplification in a Synthetic-English RAG Probe: A Predicate-Resource-Confounded Audit

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

A vector-contraction inequality for Rademacher complexities

Direct Vector Field Guidance for Path Following