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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19,081 to 19,140 of 61,116

Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI
Chiara Tappermann, Steffen Renisch, Lars Ole Schwen +3
cs.CVcs.AIarXiv:2608.16725v12026
Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations
D. K. C. Senevirathna, A. A. E. Nanayakkara, H. M. C. K. Kulathunga +7
cs.AIcs.LGcs.SDarXiv:2608.27480v12026
Generative to Agentic AI: Survey, Conceptualization, and Challenges
Johannes Schneider
cs.AIarXiv:2504.18875v12025
Conformance Checking Based on Multi-Perspective Declarative Process Models
Andrea Burattin, Fabrizio Maria Maggi, Alessandro Sperduti
cs.SEcs.DBcs.LOarXiv:1503.04957v12015
Exploring the Role of LLMs in HPC Programming: A Survey
Strahinja Ljaljevic, Josep Jorba, Sergio Iserte
cs.DCcs.AIarXiv:2608.26110v12026
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
Ethan Manilow, Gordon Wichern, Prem Seetharaman +1
cs.SDcs.LGeess.ASarXiv:1909.08494v12019
Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection
Xiaona Zhou, Muntasir Wahed, Tianjiao Yu +2
cs.AIarXiv:2605.30344v12026
Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers
Abrar Alotaibi, Muhammad Shahid Jabbar, Sadam Al-Azani +1
cs.CRcs.AIcs.CLarXiv:2608.28327v12026
wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models
Xiaohang Tang, Rares Dolga, Sangwoong Yoon +1
cs.LGcs.AIstat.MLarXiv:2507.08838v22025
NeuroCogMap Reveals Cognitive Organization of Large Language Models
Zhongxiang Sun, Haolang Lu, Qiang Ma +11
q-bio.NCcs.AIcs.CLarXiv:2607.00397v12026
Summaries:한국어
Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects
Xin Chen, Xiaoyang Wang, Ana Colacelli +2
eess.SYarXiv:2509.07218v62025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu, Sen Lin
cs.LGcs.AIarXiv:2503.07137v42025
DiffKG: Knowledge Graph Diffusion Model for Recommendation
Yangqin Jiang, Yuhao Yang, Lianghao Xia +1
cs.IRarXiv:2312.16890v12023
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Alex Fang, Gabriel Ilharco, Mitchell Wortsman +4
cs.CVcs.CLcs.LGarXiv:2205.01397v22022
Deep learning for cardiac image segmentation: A review
Chen Chen, Chen Qin, Huaqi Qiu +4
eess.IVcs.CVcs.LGarXiv:1911.03723v12019
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space
Josephine Maria Thomas, Alessandro Muscoloni, Sara Ciucci +2
cond-mat.dis-nncs.AIcs.LGarXiv:1602.06522v12016
Intelligent AI Delegation
Nenad Tomašev, Matija Franklin, Simon Osindero
cs.AIarXiv:2602.11865v12026
Geometric-Mean Policy Optimization
Yuzhong Zhao, Yue Liu, Junpeng Liu +9
cs.CLarXiv:2507.20673v32025
Stochastic Models of Evolution in Genetics, Ecology and Linguistics
R. A. Blythe, A. J. McKane
cond-mat.stat-mechq-bio.PEarXiv:cond-mat/0703478v12007
EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
Ryan Punamiya, Simar Kareer, Zeyi Liu +37
cs.ROcs.CVarXiv:2604.07607v22026
Provably Safe Sim-to-Real Transfer
Tingting Ni, Maryam Kamgarpour
cs.LGcs.AIarXiv:2609.01418v12026
Greedy Forwarding in Dynamic Scale-Free Networks Embedded in Hyperbolic Metric Spaces
Fragkiskos Papadopoulos, Dmitri Krioukov, Marian Boguna +1
cond-mat.stat-mechcond-mat.dis-nncs.NIarXiv:0805.1266v32008
Multiple-Input Multiple-Output Gaussian Broadcast Channels with Confidential Messages
Ruoheng Liu, Tie Liu, H. Vincent Poor +1
cs.ITcs.CRarXiv:0903.3786v12009
Bandits in Prod: Hyperparameter Optimization at Inference Time
Louis Abraham, Tuan-Anh Nguyen, Nicolas Devatine
cs.LGcs.AIarXiv:2609.01335v22026
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
Xiaoou Liu, Tiejin Chen, Longchao Da +3
cs.CLarXiv:2503.15850v22025
Conditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization
Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski
math.OCstat.COstat.MLarXiv:1302.2325v42013
Superposed Latent Autoencoder
Quanling Zhao, Jiaying Yang, Tianqi Zhang +4
cs.LGcs.AIarXiv:2609.01158v12026
Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering
Gang Li, Jizhong Liu, Heinrich Dinkel +3
cs.SDcs.AIcs.CLarXiv:2503.11197v42025
Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization
Ryan Compton, David Jurgens, David Allen
cs.SIphysics.soc-pharXiv:1404.7152v22014
The Evolution of First Person Vision Methods: A Survey
Alejandro Betancourt, Pietro Morerio, Carlo S. Regazzoni +1
cs.CVarXiv:1409.1484v32014
Post-main-sequence planetary system evolution
Dimitri Veras
astro-ph.EPastro-ph.SRarXiv:1601.05419v12016
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Yixuan Even Xu, Yash Savani, Fei Fang +1
cs.LGcs.AIcs.CLarXiv:2504.13818v52025
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
Jean Barbier, Mohamad Dia, Nicolas Macris +3
cs.ITcond-mat.dis-nncs.LGarXiv:1606.04142v12016
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks
Junkai Sun, Junbo Zhang, Qiaofei Li +3
cs.CVcs.LGarXiv:1903.07789v22019
Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
cs.LGcs.ITmath.OCarXiv:1705.04591v22017
Beyond the Image Plane: World-Grounded Queries for Multi-Object Tracking
Orcun Cetintas, Guillem Brasó, Tim Meinhardt +1
cs.CVcs.AIarXiv:2609.00924v12026
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification
Pinlong Zhaoa, Linlin Houb, Ou Wua
cs.CLcs.LGarXiv:1906.04501v12019
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
Chengxing Xie, Bowen Li, Chang Gao +4
cs.CLarXiv:2501.05040v32025
Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation
Teresa DiMeola, Charles Walter, Hong Xiao
cs.CVcs.AIarXiv:2609.00628v12026
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
Ryota Tanaka, Taichi Iki, Taku Hasegawa +3
cs.CLcs.AIcs.CVarXiv:2504.09795v12025
Better Summarization Evaluation with Word Embeddings for ROUGE
Jun-Ping Ng, Viktoria Abrecht
cs.CLcs.IRarXiv:1508.06034v12015
Machine Comprehension by Text-to-Text Neural Question Generation
Xingdi Yuan, Tong Wang, Caglar Gulcehre +5
cs.CLarXiv:1705.02012v22017
H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table Reasoning
Jia Ling, Yangfan Wang, Chen Tang +4
cs.AIarXiv:2609.01216v12026
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
Chengzhi Liu, Zhongxing Xu, Qingyue Wei +5
cs.CLcs.AIcs.CVarXiv:2505.21523v32025
Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery
Geoffrey H. Tison, Jeffrey Zhang, Francesca N. Delling +1
cs.CVarXiv:1807.02569v12018
SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
Samuel Miserendino, Michele Wang, Tejal Patwardhan +1
cs.LGcs.SEarXiv:2502.12115v42025
Unpaired Image Captioning via Scene Graph Alignments
Jiuxiang Gu, Shafiq Joty, Jianfei Cai +3
cs.CVarXiv:1903.10658v42019
Data-Driven Persona-Conditioned Agents for A/B Test Simulation
Ziyad Benomar, Weronika Łajewska, Leonardo Perelli +1
cs.AIarXiv:2609.01038v12026
Neural Rough Differential Equations for Long Time Series
James Morrill, Cristopher Salvi, Patrick Kidger +2
cs.LGcs.AImath.DSarXiv:2009.08295v42020
From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network
Yuxin Wang, Hongtao Xie, Shancheng Fang +3
cs.CVarXiv:2108.09661v12021
FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation
Kewei Li, Rongying Zhang, Xueli Wang +6
cs.AIq-bio.BMarXiv:2609.00831v12026
Street Hierarchies: A Minority of Streets Account for a Majority of Traffic Flow
Bin Jiang
physics.data-anphysics.soc-pharXiv:0802.1284v12008
WritingBench: A Comprehensive Benchmark for Generative Writing
Yuning Wu, Jiahao Mei, Ming Yan +8
cs.AIcs.CLarXiv:2503.05244v42025
Feedback-Assisted Trust Propagation over Document Relation Graphs for Retrieval-Augmented Generation
Zhuoheng Li, Ying Chen
cs.AIarXiv:2609.00543v12026
Agentic Software Engineering: Foundational Pillars and a Research Roadmap
Ahmed E. Hassan, Hao Li, Dayi Lin +4
cs.SEcs.AIarXiv:2509.06216v32025
CTAB-GAN+: Enhancing Tabular Data Synthesis
Zilong Zhao, Aditya Kunar, Robert Birke +1
cs.LGarXiv:2204.00401v12022
On the Adversarial Robustness of Vision Transformers
Rulin Shao, Zhouxing Shi, Jinfeng Yi +2
cs.CVcs.AIcs.LGarXiv:2103.15670v32021
SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
Haoquan Fang, Markus Grotz, Wilbert Pumacay +4
cs.ROarXiv:2501.18564v42025
EFX Exists for Three Agents
Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn
cs.GTarXiv:2002.05119v32020
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin, Ruizhou Ding, Cha Zhang +1
cs.CVcs.LGarXiv:1904.12368v22019

Every paper with a summary

Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI

Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations

Generative to Agentic AI: Survey, Conceptualization, and Challenges

Conformance Checking Based on Multi-Perspective Declarative Process Models

Exploring the Role of LLMs in HPC Programming: A Survey

Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection

Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers

wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models

NeuroCogMap Reveals Cognitive Organization of Large Language Models

Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects

A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications

DiffKG: Knowledge Graph Diffusion Model for Recommendation

Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)

Deep learning for cardiac image segmentation: A review

Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space

Intelligent AI Delegation

Geometric-Mean Policy Optimization

Stochastic Models of Evolution in Genetics, Ecology and Linguistics

EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World

Provably Safe Sim-to-Real Transfer

Greedy Forwarding in Dynamic Scale-Free Networks Embedded in Hyperbolic Metric Spaces

Multiple-Input Multiple-Output Gaussian Broadcast Channels with Confidential Messages

Bandits in Prod: Hyperparameter Optimization at Inference Time

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey

Conditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization

Superposed Latent Autoencoder

Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering

Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization

The Evolution of First Person Vision Methods: A Survey

Post-main-sequence planetary system evolution

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning

Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

Learning ReLUs via Gradient Descent

Beyond the Image Plane: World-Grounded Queries for Multi-Object Tracking

Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification

SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents

Better Summarization Evaluation with Word Embeddings for ROUGE

Machine Comprehension by Text-to-Text Neural Question Generation

H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table Reasoning

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery

SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?

Unpaired Image Captioning via Scene Graph Alignments

Data-Driven Persona-Conditioned Agents for A/B Test Simulation

Neural Rough Differential Equations for Long Time Series

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation

Street Hierarchies: A Minority of Streets Account for a Majority of Traffic Flow

WritingBench: A Comprehensive Benchmark for Generative Writing

Feedback-Assisted Trust Propagation over Document Relation Graphs for Retrieval-Augmented Generation

Agentic Software Engineering: Foundational Pillars and a Research Roadmap

CTAB-GAN+: Enhancing Tabular Data Synthesis

On the Adversarial Robustness of Vision Transformers

SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation

EFX Exists for Three Agents

Towards Efficient Model Compression via Learned Global Ranking