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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12,361 to 12,420 of 61,306

IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
Mingchun Sun, Rongqiang Zhao, Zhennan Huang +2
cs.LGcs.AIarXiv:2602.15878v12026
RF-GPT: Teaching AI to See the Wireless World
Hang Zou, Yu Tian, Bohao Wang +4
eess.SPcs.LGarXiv:2602.14833v12026
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
Alon Jacovi, Avi Caciularu, Omer Goldman +1
cs.CLcs.AIarXiv:2305.10160v22023
Adaptive Multidimensional Integration: VEGAS Enhanced
G. Peter Lepage
physics.comp-phhep-pharXiv:2009.05112v42020
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
Le Hou, Chen-Ping Yu, Dimitris Samaras
cs.CVarXiv:1611.05916v42016
DM0: An Embodied-Native Vision-Language-Action Model towards Physical AI
En Yu, Haoran Lv, Jianjian Sun +46
cs.ROarXiv:2602.14974v12026
Cross Domain Iterative Detection for Orthogonal Time Frequency Space Modulation
Shuangyang Li, Weijie Yuan, Zhiqiang Wei +1
cs.ITarXiv:2101.03822v12021
Knowledge distillation from multi-modal to mono-modal segmentation networks
Minhao Hu, Matthis Maillard, Ya Zhang +4
cs.CVcs.AIstat.MLarXiv:2106.09564v12021
How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests
Daniel Ogenrwot, John Businge
cs.SEcs.AIarXiv:2601.17581v32026
Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN
Heran Yang, Jian Sun, Aaron Carass +4
cs.CVarXiv:1809.04536v12018
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
Yingyi Zhang, Junyi Li, Wenlin Zhang +8
cs.IRarXiv:2603.09250v12026
An improvement of the convergence proof of the ADAM-Optimizer
Sebastian Bock, Josef Goppold, Martin Weiß
cs.LGcs.AIstat.MLarXiv:1804.10587v12018
Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation
Siliang Liu, Mohammad Ghasemi, Sapan Patel +1
cs.LGarXiv:2609.05363v12026
Information Retrieval and Criticality in Parity-Time-Symmetric Systems
Kohei Kawabata, Yuto Ashida, Masahito Ueda
quant-phcond-mat.stat-mechmath-pharXiv:1705.04628v32017
Generalized density clustering
Alessandro Rinaldo, Larry Wasserman
math.STarXiv:0907.3454v32009
ScratchEval : A Multimodal Evaluation Framework for LLMs in Block-Based Programming
Yuan Si, Simeng Han, Daming Li +2
cs.SEarXiv:2602.00757v12026
Embedded Graph Flows for Categorical Graph Generation
Ethan Ma, Zihan Wang, Chris Siu Yeung Chow +5
cs.LGarXiv:2609.05328v12026
A Survey on Honeypot Software and Data Analysis
Marcin Nawrocki, Matthias Wählisch, Thomas C. Schmidt +2
cs.CRcs.NIarXiv:1608.06249v12016
Thinking with Geometry: Active Geometry Integration for Spatial Reasoning
Haoyuan Li, Qihang Cao, Tao Tang +6
cs.CVarXiv:2602.06037v52026
Variational Continuation for Double Pendulum Periodic Orbits
Leo Yao, Ziming Liu, Max Tegmark
cs.LGmath-phnlin.CDarXiv:2609.05337v12026
Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion
Yang Yang, Tianyi Zhang, Wei Huang +6
cs.CVeess.IVarXiv:2603.13405v12026
Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar
Shayan Sharifi, Riccardo Treu, Ilaria Gandin +3
cs.LGstat.MLarXiv:2609.05294v12026
OpenClaw PRISM: A Zero-Fork, Defense-in-Depth Runtime Security Layer for Tool-Augmented LLM Agents
Frank Li
cs.CRarXiv:2603.11853v12026
How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method
Konstantin Grotov, Valentin Malykh
cs.LGarXiv:2609.05274v12026
TidyVoice: A Curated Multilingual Dataset for Speaker Verification Derived from Common Voice
Aref Farhadipour, Jan Marquenie, Srikanth Madikeri +1
eess.AScs.SDarXiv:2601.16358v12026
On spectral hypergraph theory of the adjacency tensor
Kelly J. Pearson, Tan Zhang
math.SParXiv:1209.5614v12012
A Differentiable Neural Surrogate for Photon Propagation in Neutrino Telescopes
Felix J. Yu, Berthy T. Feng, Nicholas Kamp +1
astro-ph.HEcs.LGhep-exarXiv:2609.04695v12026
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
Shuai Zhang, Lina Yao, Xiwei Xu
cs.IRarXiv:1704.00551v32017
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Arber Zela, Aaron Klein, Stefan Falkner +1
cs.LGcs.AIcs.CVarXiv:1807.06906v12018
Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR
Cory Ilo, Brendan-David John, Doug A. Bowman
cs.CVcs.ETcs.HCarXiv:2609.04592v12026
Efficient Chest X-ray Representation Learning via Semantic-Partitioned Contrastive Learning
Wangyu Feng, Shawn Young, Lijian Xu
cs.CVarXiv:2603.07113v22026
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin, Rong Shan, Chenxu Zhu +6
cs.IRcs.AIarXiv:2308.11131v62023
Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies
Ce Hao, Xuanran Zhai, Yaohua Liu +1
cs.ROarXiv:2601.21251v12026
Centered Permutation Prefixes for SGD with Random Reshuffling: Sharp Rates, Hölder Geometry, and Composite Proximal Extensions
Jiaxiang Li
math.OCcs.LGarXiv:2609.04578v12026
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Hubert Baniecki, Przemyslaw Biecek
cs.CRcs.AIcs.CVarXiv:2306.06123v42023
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
Zifeng Guo, Joao P. Leitao, Nuno E. Simoes +1
cs.CVcs.CYcs.LGarXiv:2004.08340v22020
AdaptOrch: Task-Adaptive Multi-Agent Orchestration in the Era of LLM Performance Convergence
Geunbin Yu
cs.MAcs.AIarXiv:2602.16873v12026
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training
Tong Zhu, Xiaoye Qu, Daize Dong +4
cs.CLarXiv:2406.16554v12024
MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning
Ahmad Mousavi, Majid Alikhani, Yeon-Chang Lee +2
cs.IRcs.LGcs.SIarXiv:2609.04574v12026
Machine Unlearning under Retain-Forget Entanglement
Jingpu Cheng, Ping Liu, Qianxiao Li +1
cs.LGarXiv:2603.26569v12026
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey
Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang +1
cs.CRcs.HCcs.LGarXiv:2001.08578v22020
Improving Flow Matching by Aligning Flow Divergence
Yuhao Huang, Taos Transue, Shih-Hsin Wang +3
cs.LGcs.AImath.NAarXiv:2602.00869v12026
StreamReady: Learning What to Answer and When in Long Streaming Videos
Shehreen Azad, Vibhav Vineet, Yogesh Singh Rawat
cs.CVarXiv:2603.08620v12026
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong, Junhyuk Oh, Bohyung Han +1
cs.CVarXiv:1512.07928v12015
Interpretable Convolutional Neural Networks via Feedforward Design
C. -C. Jay Kuo, Min Zhang, Siyang Li +2
cs.CVarXiv:1810.02786v22018
Circuit-Based Quantum Random Access Memory for Classical Data
Daniel K. Park, Francesco Petruccione, June-Koo Kevin Rhee
quant-pharXiv:1901.02362v12019
High-Fidelity Image Generation With Fewer Labels
Mario Lucic, Michael Tschannen, Marvin Ritter +3
cs.LGcs.CVstat.MLarXiv:1903.02271v22019
Adaptive Information Control for Search-Augmented LLM Reasoning
Siheng Xiong, Oguzhan Gungordu, James C. Kerce +1
cs.CLarXiv:2602.01672v22026
Practical One-Shot Federated Learning for Cross-Silo Setting
Qinbin Li, Bingsheng He, Dawn Song
cs.LGstat.MLarXiv:2010.01017v22020
Reward (Mis)design for Autonomous Driving
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf +2
cs.LGarXiv:2104.13906v22021
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan, Jun Xia, Lirong Wu +1
cs.LGarXiv:2108.04063v42021
WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning
Gagan Mundada, Zihan Huang, Rohan Surana +8
cs.LGarXiv:2602.17025v12026
Agent Alpha: Tree Search Unifying Generation, Exploration and Evaluation for Computer-Use Agents
Sizhe Tang, Rongqian Chen, Tian Lan
cs.AIarXiv:2602.02995v12026
Optimal Rates for Agentic Networked Information Aggregation
MohammadHossein Bateni, Zahra Hadizadeh, MohammadTaghi Hajiaghayi +2
cs.LGcs.GTecon.THarXiv:2609.05318v12026
Multiplayer Reach-Avoid Games via Pairwise Outcomes
Mo Chen, Zhengyuan Zhou, Claire J. Tomlin
math.OCarXiv:1611.00450v12016
Power Efficient IRS-Assisted NOMA
Jianyue Zhu, Yongming Huang, Jiaheng Wang +2
cs.ITarXiv:1912.11768v12019
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Eric Martin, Chris Cundy
cs.NEcs.AIcs.LGarXiv:1709.04057v22017
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation
Guotai Wang, Wenqi Li, Sebastien Ourselin +1
cs.CVarXiv:1810.07884v22018
MomentQuant: an even more minimalist interval method with linear time complexity for time series classification
Johann Faouzi
cs.LGarXiv:2609.05136v12026
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
Thomas Mandla, Sandip Modha, Gautam Kishore Shahi +5
cs.CLcs.CYarXiv:2108.05927v12021

Every paper with a summary

IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation

RF-GPT: Teaching AI to See the Wireless World

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Adaptive Multidimensional Integration: VEGAS Enhanced

Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

DM0: An Embodied-Native Vision-Language-Action Model towards Physical AI

Cross Domain Iterative Detection for Orthogonal Time Frequency Space Modulation

Knowledge distillation from multi-modal to mono-modal segmentation networks

How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests

Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN

Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval

An improvement of the convergence proof of the ADAM-Optimizer

Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation

Information Retrieval and Criticality in Parity-Time-Symmetric Systems

Generalized density clustering

ScratchEval : A Multimodal Evaluation Framework for LLMs in Block-Based Programming

Embedded Graph Flows for Categorical Graph Generation

A Survey on Honeypot Software and Data Analysis

Thinking with Geometry: Active Geometry Integration for Spatial Reasoning

Variational Continuation for Double Pendulum Periodic Orbits

Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion

Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar

OpenClaw PRISM: A Zero-Fork, Defense-in-Depth Runtime Security Layer for Tool-Augmented LLM Agents

How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method

TidyVoice: A Curated Multilingual Dataset for Speaker Verification Derived from Common Voice

On spectral hypergraph theory of the adjacency tensor

A Differentiable Neural Surrogate for Photon Propagation in Neutrino Telescopes

AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR

Efficient Chest X-ray Representation Learning via Semantic-Partitioned Contrastive Learning

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies

Centered Permutation Prefixes for SGD with Random Reshuffling: Sharp Rates, Hölder Geometry, and Composite Proximal Extensions

Adversarial attacks and defenses in explainable artificial intelligence: A survey

Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks

AdaptOrch: Task-Adaptive Multi-Agent Orchestration in the Era of LLM Performance Convergence

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training

MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning

Machine Unlearning under Retain-Forget Entanglement

Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey

Improving Flow Matching by Aligning Flow Divergence

StreamReady: Learning What to Answer and When in Long Streaming Videos

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network

Interpretable Convolutional Neural Networks via Feedforward Design

Circuit-Based Quantum Random Access Memory for Classical Data

High-Fidelity Image Generation With Fewer Labels

Adaptive Information Control for Search-Augmented LLM Reasoning

Practical One-Shot Federated Learning for Cross-Silo Setting

Reward (Mis)design for Autonomous Driving

Co-learning: Learning from Noisy Labels with Self-supervision

WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning

Agent Alpha: Tree Search Unifying Generation, Exploration and Evaluation for Computer-Use Agents

Optimal Rates for Agentic Networked Information Aggregation

Multiplayer Reach-Avoid Games via Pairwise Outcomes

Power Efficient IRS-Assisted NOMA

Parallelizing Linear Recurrent Neural Nets Over Sequence Length

Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation

MomentQuant: an even more minimalist interval method with linear time complexity for time series classification

Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages