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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63,961 to 64,020 of 104,260

Self-Explainable Multi-Label Graph Neural Network for Correlated Evidence Attribution
Yingqi Feng, Yufei Tang, Min Shi +1
cs.LGcs.AIarXiv:2608.27574v12026
Shortcuts to quantum network routing
Eddie Schoute, Laura Mancinska, Tanvirul Islam +2
cs.NIquant-pharXiv:1610.05238v12016
Strong and weak divergence in finite time of Euler's method for stochastic differential equations with non-globally Lipschitz continuous coefficients
Martin Hutzenthaler, Arnulf Jentzen, Peter E. Kloeden
math.NAmath.PRarXiv:0905.0273v32009
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev +12
cs.CLcs.LGarXiv:2406.15627v42024
Factors in Finetuning Deep Model for object detection
Wanli Ouyang, Xiaogang Wang, Cong Zhang +1
cs.CVarXiv:1601.05150v22016
Prayer-Gait-Auth: Smartphone IMU-based Behavioral Biometrics from Structured Islamic Prayer Movements
Hassan Hizeh, Anwar B. Alshaibani, Muhammad Mahboob Ur Rahman +1
eess.SParXiv:2608.26994v12026
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Talip Ucar, Ehsan Hajiramezanali, Lindsay Edwards
cs.LGstat.MLarXiv:2110.04361v22021
We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty
Tyler LaBonte, Carianne Martinez, Scott A. Roberts
eess.IVcs.CVcs.LGarXiv:1910.10793v22019
From Uncertainty to Clinical Risk: Severity-Aware Conformal Planning for Interactive Medical Diagnosis
Yue Zhou, Haiyang Zhou, Jin Zhang +4
cs.AIarXiv:2608.27847v12026
On the formulation of fractional Adams-Bashforth method with Atangana-Baleanu-Caputo derivative to model chaotic problems
Kolade M. Owolabi, Abdon Atangana
math.NAcs.NAarXiv:2108.13808v22021
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation
Gedas Bertasius, Lorenzo Torresani
cs.CVarXiv:1912.04573v42019
Auditing Reasoning-Trace Memorization Claims after Unlearning with Head-Conditioned Canaries
Yanhang Li, Zhichao Fan, Zexin Zhuang
cs.LGcs.AIarXiv:2605.18891v12026
Grounded Human-Object Interaction Hotspots from Video
Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman
cs.CVarXiv:1812.04558v22018
RSIGame: Autonomous Agentic Game Development with Recursive Self-improvement
Wenyi Wu, Minghao Fu, Jieyu You +10
cs.CLcs.GTcs.LGarXiv:2609.39045v12026
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig +8
cs.CVarXiv:1612.08894v12016
Geometric Operator Learning with Optimal Transport
Xinyi Li, Zongyi Li, Nikola Kovachki +1
cs.LGarXiv:2507.20065v12025
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Tongzhou Wang, Antonio Torralba, Phillip Isola +1
cs.LGarXiv:2304.01203v72023
Prior Audit-Repair Context Shifts LLM Verifier Thresholds Toward Leniency
Parsa Mazaheri, Kasra Mazaheri
cs.AIcs.CLarXiv:2608.16003v12026
Adaptive Aggregation Based Domain Decomposition Multigrid for the Lattice Wilson Dirac Operator
Andreas Frommer, Karsten Kahl, Stefan Krieg +2
hep-latarXiv:1303.1377v32013
Escaping the Big Data Paradigm with Compact Transformers
Ali Hassani, Steven Walton, Nikhil Shah +3
cs.CVcs.LGarXiv:2104.05704v42021
SkillGrad: Optimizing Agent Skills Like Gradient Descent
Hanyu Wang, Yifan Lan, Bochuan Cao +2
cs.AIarXiv:2605.27760v12026
FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare
Jacob Idoko, Siddhartha Paudel, Mariana Bento +2
cs.AIarXiv:2608.23643v12026
Fast Domain Adaptation for Neural Machine Translation
Markus Freitag, Yaser Al-Onaizan
cs.CLarXiv:1612.06897v12016
VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation
Hsien-Yu Meng, Lin Gao, YuKun Lai +1
cs.GRarXiv:1811.04337v22018
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Ziwei Xu, Sanjay Jain, Mohan Kankanhalli
cs.CLcs.AIcs.LGarXiv:2401.11817v22024
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
Shubham Parashar, Shurui Gui, Xiner Li +8
cs.LGcs.AIcs.CLarXiv:2506.06632v32025
Thinking with Drafting: Optical Decompression via Logical Reconstruction
Jingxuan Wei, Honghao He, Caijun Jia +9
cs.CLarXiv:2602.11731v22026
Structured Pruning for Deep Convolutional Neural Networks: A survey
Yang He, Lingao Xiao
cs.CVarXiv:2303.00566v22023
Learning from the Test: Self-Referential Differential Testing for Deep RL Agents
Junda He, Jieke Shi, Zhou Yang +2
cs.SEcs.AIcs.LGarXiv:2608.22284v12026
Movable Antenna Enhanced Wireless Sensing Via Antenna Position Optimization
Wenyan Ma, Lipeng Zhu, Rui Zhang
cs.ITeess.SPmath.ITarXiv:2405.01215v12024
Coral Grow-out Robotic Assessment System (CGRAS): Scaling Coral Recruit Monitoring Through Robotics and Computer Vision
Dorian Tsai, Scarlett Raine, Emilio Olivastri +12
cs.ROarXiv:2609.38846v12026
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search
Weiwen Jiang, Xinyi Zhang, Edwin H. -M. Sha +4
cs.DCcs.LGarXiv:1901.11211v12019
Discretizing Continuous Time Series for Imputation with Masked Diffusion Training
Dongbin Kim, Seungyun Lee, Geonwoo Shin +1
cs.LGcs.AIarXiv:2608.19119v12026
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Sergey Bartunov, Adam Santoro, Blake A. Richards +3
cs.LGcs.AIcs.NEarXiv:1807.04587v22018
Correction as Annotation: Bootstrapping a Dependency Parser for Documentary Medieval Latin
Gabriel H. Pizzorno
cs.CLcs.DLarXiv:2609.06266v12026
KCensus: Synthesizing Latency-Optimal Consensus Fast Paths (Extended Version)
Clément Burgelin, Antoine Murat, Gal Sela +2
cs.DCarXiv:2609.31302v12026
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
Muhammed Sit, Bekir Z. Demiray, Zhongrun Xiang +3
physics.geo-phcs.LGstat.MLarXiv:2007.12269v12020
SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models
Cheng-Han Chiang, Xiaofei Wang, Linjie Li +7
cs.CLeess.ASarXiv:2510.06917v22025
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu, Yichen Xu, Feng Yu +3
cs.LGarXiv:2010.14945v32020
A Simple, Fast Diverse Decoding Algorithm for Neural Generation
Jiwei Li, Will Monroe, Dan Jurafsky
cs.CLarXiv:1611.08562v22016
ReMiT: RL-Guided Mid-Training for Iterative LLM Evolution
Junjie Huang, Jiarui Qin, Di Yin +4
cs.CLarXiv:2602.03075v12026
Robust Learning with Jacobian Regularization
Judy Hoffman, Daniel A. Roberts, Sho Yaida
stat.MLcs.LGarXiv:1908.02729v12019
Non-Orthogonal Multiple Access (NOMA) for Downlink Multiuser MIMO Systems: User Clustering, Beamforming, and Power Allocation
Md Shipon Ali, Ekram Hossain, Dong In Kim
cs.ITcs.NIarXiv:1611.07425v12016
Deep Model-Based 6D Pose Refinement in RGB
Fabian Manhardt, Wadim Kehl, Nassir Navab +1
cs.CVarXiv:1810.03065v12018
The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation
Nicolas Dufour, Alexei A. Efros, Patrick Pérez
cs.CVarXiv:2606.20536v12026
CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos
Chubin Zhang, Jianan Wang, Zifeng Gao +5
cs.ROcs.CVarXiv:2601.04061v22026
SAFE: Self-Attentive Function Embeddings for Binary Similarity
Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni +2
cs.CRcs.LGarXiv:1811.05296v42018
Towards Federated, Green, and Resilient 6G Non-Terrestrial Networks
Sarath Babu, Victor Baños-Gonzalez, Mario Cordina +20
cs.NIarXiv:2609.05184v12026
Dispersive Forward Tree Search for Optimal Control: Coverage, Complexity, and Computation
Shashank A. Deshpande, Jonathan P. How
cs.ROmath.OCarXiv:2608.26314v12026
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof, Eldad Haber, Eran Treister
cs.LGcs.CVcs.NEarXiv:2108.01938v22021
OmniPoint: Universal Monocular Metric Pointcloud from Any Camera
Botao Ye, Marc Pollefeys, Ming-Hsuan Yang +1
cs.CVarXiv:2609.09394v12026
High-dimensional variable selection
Larry Wasserman, Kathryn Roeder
math.STstat.MLarXiv:0704.1139v22007
Hierarchical Agglomerative Clustering for Efficient Annual Voltage Security Assessment in Very-High RES Penetrated Power Systems
Rock Agon, Robin Preece, Jovica V. Milanovic
eess.SYarXiv:2608.28296v12026
XNAS: Neural Architecture Search with Expert Advice
Niv Nayman, Asaf Noy, Tal Ridnik +3
cs.LGcs.CVmath.OCarXiv:1906.08031v12019
Temperature-Adaptive Transformed Teacher Matching
Hiroaki Aizawa, Yoshikazu Hayashi
cs.LGcs.CVarXiv:2608.29099v12026
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
Haoqi Yuan, Zhixuan Liang, Anzhe Chen +20
cs.ROcs.CVcs.LGarXiv:2606.17846v22026
Summaries:한국어
HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection
Bin Tang, Zhengyi Liu, Yacheng Tan +1
cs.CVarXiv:2301.03036v12023
VisCo: Leveraging Large Language Models as Intrinsic Encoders for Visual Token Compression
Yupeng Zheng, Kai Zou, Bin Liu +1
cs.CVarXiv:2607.12756v22026
Analysis of Human-Body Blockage in Urban Millimeter-Wave Cellular Communications
Margarita Gapeyenko, Andrey Samuylov, Mikhail Gerasimenko +7
cs.NIarXiv:1604.04743v12016
Decentralized Multitask Learning over Learned Task Graphs
Zirui Wan, Stefan Vlaski
cs.LGeess.SPeess.SYarXiv:2608.26989v12026

Every paper with a summary

Self-Explainable Multi-Label Graph Neural Network for Correlated Evidence Attribution

Shortcuts to quantum network routing

Strong and weak divergence in finite time of Euler's method for stochastic differential equations with non-globally Lipschitz continuous coefficients

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph

Factors in Finetuning Deep Model for object detection

Prayer-Gait-Auth: Smartphone IMU-based Behavioral Biometrics from Structured Islamic Prayer Movements

SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning

We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty

From Uncertainty to Clinical Risk: Severity-Aware Conformal Planning for Interactive Medical Diagnosis

On the formulation of fractional Adams-Bashforth method with Atangana-Baleanu-Caputo derivative to model chaotic problems

Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation

Auditing Reasoning-Trace Memorization Claims after Unlearning with Head-Conditioned Canaries

Grounded Human-Object Interaction Hotspots from Video

RSIGame: Autonomous Agentic Game Development with Recursive Self-improvement

Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

Geometric Operator Learning with Optimal Transport

Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning

Prior Audit-Repair Context Shifts LLM Verifier Thresholds Toward Leniency

Adaptive Aggregation Based Domain Decomposition Multigrid for the Lattice Wilson Dirac Operator

Escaping the Big Data Paradigm with Compact Transformers

SkillGrad: Optimizing Agent Skills Like Gradient Descent

FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare

Fast Domain Adaptation for Neural Machine Translation

VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation

Hallucination is Inevitable: An Innate Limitation of Large Language Models

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

Thinking with Drafting: Optical Decompression via Logical Reconstruction

Structured Pruning for Deep Convolutional Neural Networks: A survey

Learning from the Test: Self-Referential Differential Testing for Deep RL Agents

Movable Antenna Enhanced Wireless Sensing Via Antenna Position Optimization

Coral Grow-out Robotic Assessment System (CGRAS): Scaling Coral Recruit Monitoring Through Robotics and Computer Vision

Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search

Discretizing Continuous Time Series for Imputation with Masked Diffusion Training

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures

Correction as Annotation: Bootstrapping a Dependency Parser for Documentary Medieval Latin

KCensus: Synthesizing Latency-Optimal Consensus Fast Paths (Extended Version)

A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources

SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models

Graph Contrastive Learning with Adaptive Augmentation

A Simple, Fast Diverse Decoding Algorithm for Neural Generation

ReMiT: RL-Guided Mid-Training for Iterative LLM Evolution

Robust Learning with Jacobian Regularization

Non-Orthogonal Multiple Access (NOMA) for Downlink Multiuser MIMO Systems: User Clustering, Beamforming, and Power Allocation

Deep Model-Based 6D Pose Refinement in RGB

The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation

CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos

SAFE: Self-Attentive Function Embeddings for Binary Similarity

Towards Federated, Green, and Resilient 6G Non-Terrestrial Networks

Dispersive Forward Tree Search for Optimal Control: Coverage, Complexity, and Computation

PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations

OmniPoint: Universal Monocular Metric Pointcloud from Any Camera

High-dimensional variable selection

Hierarchical Agglomerative Clustering for Efficient Annual Voltage Security Assessment in Very-High RES Penetrated Power Systems

XNAS: Neural Architecture Search with Expert Advice

Temperature-Adaptive Transformed Teacher Matching

Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection

VisCo: Leveraging Large Language Models as Intrinsic Encoders for Visual Token Compression

Analysis of Human-Body Blockage in Urban Millimeter-Wave Cellular Communications

Decentralized Multitask Learning over Learned Task Graphs