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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52,801 to 52,860 of 119,865

Residential Electricity Consumption Dataset for Sri Lanka (RECON-SL)
Chanuka Algama, Merl Chandana, Isuruni Fernando +6
cs.DLarXiv:2609.28783v12026
Evolving neural networks with genetic algorithms to study the String Landscape
Fabian Ruehle
hep-tharXiv:1706.07024v22017
Deep Clustering: A Comprehensive Survey
Yazhou Ren, Jingyu Pu, Zhimeng Yang +5
cs.LGarXiv:2210.04142v12022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey, Yonatan Belinkov, Marek Rei
cs.CLcs.LGarXiv:2104.08142v32021
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost
Chen Wang, Chengyuan Deng, Suzhen Wang
cs.LGstat.MLarXiv:1908.01672v22019
Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective
Jiuqi Wang, Jayanth Srinivasa, Claire Chen +3
cs.LGarXiv:2605.09044v12026
A Comparative Study of Bug Algorithms for Robot Navigation
Kimberly McGuire, Guido de Croon, Karl Tuyls
cs.ROarXiv:1808.05050v22018
Dynamical mean field theory algorithm and experiment on quantum computers
I. Rungger, N. Fitzpatrick, H. Chen +12
quant-phcond-mat.str-elarXiv:1910.04735v22019
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
Amartya Sanyal, Matt J. Kusner, Adrià Gascón +1
cs.CRcs.LGstat.MLarXiv:1806.03461v12018
Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement
Saman Forouzandeh, Wei Peng, Parham Moradi +2
cs.LGcs.AIarXiv:2512.18950v12025
COLA: Decentralized Linear Learning
Lie He, An Bian, Martin Jaggi
cs.DCcs.LGstat.MLarXiv:1808.04883v42018
Measuring Structured Predictability in Neural Training Dynamics: A Cross-Regime Study
Fanqi Wang, Weisheng Tang, Hairong Qi
cs.LGarXiv:2608.15483v12026
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Evan Hubinger, Carson Denison, Jesse Mu +36
cs.CRcs.AIcs.CLarXiv:2401.05566v32024
The Epic Story of Maximum Likelihood
Stephen M. Stigler
stat.MEarXiv:0804.2996v12008
DUPIN: Attack Learning Is Still Needed! Demonstrating Few-Shot after Unsupervised Pretraining Is A Nimble Forensics Learner
Chanwoo Bae, Hailun Ding, Shiqing Ma +1
cs.CRarXiv:2609.00259v12026
Overview and Comparison of Gate Level Quantum Software Platforms
Ryan LaRose
quant-phcs.ETarXiv:1807.02500v22018
Spectral and Energy Efficient Wireless Powered IoT Networks: NOMA or TDMA?
Qingqing Wu, Wen Chen, Derrick Wing Kwan Ng +1
cs.ITarXiv:1801.09109v12018
Gradient-like observers for invariant dynamics on a Lie group
C. Lageman, J. Trumpf, R. Mahony
math.OCarXiv:0805.0828v12008
Global transition path search for dislocation formation in Ge on Si(001)
Emile Maras, Oleg Trushin, Alexander Stukowski +2
cond-mat.mtrl-sciarXiv:1601.06597v12016
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
Ezra Karger, Houtan Bastani, Chen Yueh-Han +4
cs.LGcs.AIcs.CLarXiv:2409.19839v52024
Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue
Yair Rivenson, Hongda Wang, Zhensong Wei +3
cs.CVcs.LGphysics.med-pharXiv:1803.11293v12018
Challenges in Trustworthy Human Evaluation of Chatbots
Wenting Zhao, Alexander M. Rush, Tanya Goyal
cs.HCarXiv:2412.04363v12024
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Yang Deng, Yaliang Li, Fei Sun +2
cs.IRarXiv:2105.09710v12021
Beyond Polarization: The Generative Constraint of Chain-of-Thought in Pointwise Reranking
Xiaoyang Chen, Jie Liu, Haijin Liang +5
cs.CLcs.IRarXiv:2608.30398v12026
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky, Francesco Orabona
cs.LGmath.OCstat.MLarXiv:1905.10018v32019
Iterative Filter Adaptive Network for Single Image Defocus Deblurring
Junyong Lee, Hyeongseok Son, Jaesung Rim +2
cs.CVeess.IVarXiv:2108.13610v22021
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks
Ke Sun, Mingjie Li, Dong Liu +1
cs.CVarXiv:1806.00178v22018
Learning To Split and Rephrase From Wikipedia Edit History
Jan A. Botha, Manaal Faruqui, John Alex +2
cs.CLarXiv:1808.09468v12018
An Empirical Study on the Impact of Refactoring Activities on Evolving Client-Used APIs
Raula Gaikovina Kula, Ali Ouni, Daniel M. German +1
cs.SEarXiv:1709.09474v22017
Concept-Level Risk and Calibration for Governance in Diffusion Foundation Models
Kun Xu, Yushu Zhang, Tao Wang +4
cs.MMarXiv:2609.08517v12026
Federated Learning for Internet of Things: A Comprehensive Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +3
eess.SParXiv:2104.07914v12021
Deep High-Resolution Representation Learning for Human Pose Estimation
Ke Sun, Bin Xiao, Dong Liu +1
cs.CVarXiv:1902.09212v12019
RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments
Quoc H. Nguyen, Ali Lafzi, Abhijeet Phatak +4
cs.LGcs.AIarXiv:2609.05403v12026
Understanding World or Predicting Future? A Comprehensive Survey of World Models
Jingtao Ding, Yunke Zhang, Yu Shang +12
cs.CLcs.AIcs.LGarXiv:2411.14499v42024
Inner and Inter Label Propagation: Salient Object Detection in the Wild
Hongyang Li, Huchuan Lu, Zhe Lin +2
cs.CVarXiv:1505.07192v12015
PIE-PS: Photometric Stereo from Physical Irradiance Event Streams
Xiangze Meng, Guangyu Li, Jing Li +4
cs.CVarXiv:2610.08188v12026
Emergence of Grounded Compositional Language in Multi-Agent Populations
Igor Mordatch, Pieter Abbeel
cs.AIcs.CLarXiv:1703.04908v22017
Average Peak Age-of-Information Minimization in UAV-assisted IoT Networks
Mohamed A. Abd-Elmagid, Harpreet S. Dhillon
cs.ITcs.NIarXiv:1804.06543v22018
SgxPectre Attacks: Stealing Intel Secrets from SGX Enclaves via Speculative Execution
Guoxing Chen, Sanchuan Chen, Yuan Xiao +3
cs.CRarXiv:1802.09085v32018
KODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling
Maximiliano Wardle, A. Ryo Koblitz
cs.CVarXiv:2609.07298v22026
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
Haitian Sun, Tania Bedrax-Weiss, William W. Cohen
cs.CLcs.LGarXiv:1904.09537v12019
GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, :, Aohan Zeng +184
cs.LGcs.CLarXiv:2602.15763v22026
Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks
Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes +1
cs.NIarXiv:1802.06958v12018
An Optimal Algorithm for Online Unconstrained Submodular Maximization
Tim Roughgarden, Joshua R. Wang
cs.LGstat.MLarXiv:1806.03349v12018
New bounds for the support of input-output equations in differential-algebraic systems
Gabriela Jeronimo, Leonardo Lanciano
math.AGcs.SCarXiv:2609.03828v12026
fable.intermittent: benchmarking probabilistic forecasting methods for intermittent time series
Stefano Damato, Lorenzo Zambon, Giorgio Corani +1
cs.LGarXiv:2609.28607v12026
GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract
Qi, Yu, Xinran He +1
cs.LGcs.SIarXiv:1410.1940v12014
HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding
Jiaxing Zhao, Qize Yang, Yixing Peng +8
cs.CVarXiv:2501.15111v12025
cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots
Balakumar Sundaralingam, Adithyavairavan Murali, Stan Birchfield
cs.ROarXiv:2603.05493v22026
Representation Learning with Large Language Models for Recommendation
Xubin Ren, Wei Wei, Lianghao Xia +5
cs.IRcs.AIarXiv:2310.15950v52023
Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing
Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab +2
cs.SEarXiv:2308.16557v12023
Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong +1
cs.CVarXiv:2207.09615v22022
Self-Locating Uncertainty and the Origin of Probability in Everettian Quantum Mechanics
Charles T. Sebens, Sean M. Carroll
quant-phgr-qcarXiv:1405.7577v32014
Reducing Tool Hallucination via Reliability Alignment
Hongshen Xu, Zichen Zhu, Lei Pan +6
cs.CLarXiv:2412.04141v32024
Functional Data Analysis of Amplitude and Phase Variation
J. S. Marron, James O. Ramsay, Laura M. Sangalli +1
stat.MEarXiv:1512.03216v12015
BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning
Guiyao Tie, Jiawen Shi, Pan Zhou +1
cs.CRcs.AIarXiv:2604.09378v12026
Learning Memory-guided Normality for Anomaly Detection
Hyunjong Park, Jongyoun Noh, Bumsub Ham
cs.CVarXiv:2003.13228v12020
Blockchain in internet of things: Challenges and Solutions
Ali Dorri, Salil S. Kanhere, Raja Jurdak
cs.CRcs.CYarXiv:1608.05187v12016
Simulator-free Solution of High-Dimensional Stochastic Elliptic Partial Differential Equations using Deep Neural Networks
Sharmila Karumuri, Rohit Tripathy, Ilias Bilionis +1
physics.data-anphysics.comp-pharXiv:1902.05200v32019
Instance-level Human Parsing via Part Grouping Network
Ke Gong, Xiaodan Liang, Yicheng Li +3
cs.CVarXiv:1808.00157v12018

Every paper with a summary

Residential Electricity Consumption Dataset for Sri Lanka (RECON-SL)

Evolving neural networks with genetic algorithms to study the String Landscape

Deep Clustering: A Comprehensive Survey

Supervising Model Attention with Human Explanations for Robust Natural Language Inference

Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective

A Comparative Study of Bug Algorithms for Robot Navigation

Dynamical mean field theory algorithm and experiment on quantum computers

TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service

Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement

COLA: Decentralized Linear Learning

Measuring Structured Predictability in Neural Training Dynamics: A Cross-Regime Study

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

The Epic Story of Maximum Likelihood

DUPIN: Attack Learning Is Still Needed! Demonstrating Few-Shot after Unsupervised Pretraining Is A Nimble Forensics Learner

Overview and Comparison of Gate Level Quantum Software Platforms

Spectral and Energy Efficient Wireless Powered IoT Networks: NOMA or TDMA?

Gradient-like observers for invariant dynamics on a Lie group

Global transition path search for dislocation formation in Ge on Si(001)

ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities

Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue

Challenges in Trustworthy Human Evaluation of Chatbots

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

Beyond Polarization: The Generative Constraint of Chain-of-Thought in Pointwise Reranking

Momentum-Based Variance Reduction in Non-Convex SGD

Iterative Filter Adaptive Network for Single Image Defocus Deblurring

IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks

Learning To Split and Rephrase From Wikipedia Edit History

An Empirical Study on the Impact of Refactoring Activities on Evolving Client-Used APIs

Concept-Level Risk and Calibration for Governance in Diffusion Foundation Models

Federated Learning for Internet of Things: A Comprehensive Survey

Deep High-Resolution Representation Learning for Human Pose Estimation

RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments

Understanding World or Predicting Future? A Comprehensive Survey of World Models

Inner and Inter Label Propagation: Salient Object Detection in the Wild

PIE-PS: Photometric Stereo from Physical Irradiance Event Streams

Emergence of Grounded Compositional Language in Multi-Agent Populations

Average Peak Age-of-Information Minimization in UAV-assisted IoT Networks

SgxPectre Attacks: Stealing Intel Secrets from SGX Enclaves via Speculative Execution

KODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

GLM-5: from Vibe Coding to Agentic Engineering

Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks

An Optimal Algorithm for Online Unconstrained Submodular Maximization

New bounds for the support of input-output equations in differential-algebraic systems

fable.intermittent: benchmarking probabilistic forecasting methods for intermittent time series

GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract

HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding

cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots

Representation Learning with Large Language Models for Recommendation

Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing

Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability

Self-Locating Uncertainty and the Origin of Probability in Everettian Quantum Mechanics

Reducing Tool Hallucination via Reliability Alignment

Functional Data Analysis of Amplitude and Phase Variation

BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning

Learning Memory-guided Normality for Anomaly Detection

Blockchain in internet of things: Challenges and Solutions

Simulator-free Solution of High-Dimensional Stochastic Elliptic Partial Differential Equations using Deep Neural Networks

Instance-level Human Parsing via Part Grouping Network