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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81,481 to 81,540 of 104,333

GraphIE: A Graph-Based Framework for Information Extraction
Yujie Qian, Enrico Santus, Zhijing Jin +2
cs.CLarXiv:1810.13083v32018
Supervised Topic Models
David M. Blei, Jon D. McAuliffe
stat.MLarXiv:1003.0783v12010
Automatic Spatially-aware Fashion Concept Discovery
Xintong Han, Zuxuan Wu, Phoenix X. Huang +5
cs.CVarXiv:1708.01311v12017
Fast Online Deconvolution of Calcium Imaging Data
Johannes Friedrich, Pengcheng Zhou, Liam Paninski
q-bio.NCq-bio.QMstat.AParXiv:1609.00639v32016
Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
Thibaud Gloaguen, Niels Mündler, Mark Müller +2
cs.SEcs.AIarXiv:2602.11988v22026
AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review
Xingjian Gu, Barbara J. Ericson
cs.CYcs.AIarXiv:2503.00079v32025
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization
Zhiyu Yang, Zihan Zhou, Shuo Wang +10
cs.CLarXiv:2402.11453v32024
Broadly Applicable Approximate MCMC for Switching Stochastic Differential Equations Using Uniformization and Time-Conditioned Factorized Neural Likelihood Estimation
Shion Hosoda, Michiaki Hamada
stat.MLcs.LGarXiv:2610.10194v12026
Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered
Aryo Pradipta Gema, Neel Rajani, Rohit Saxena +2
cs.CLcs.AIarXiv:2608.29464v12026
Quantum Internet: Networking Challenges in Distributed Quantum Computing
Angela Sara Cacciapuoti, Marcello Caleffi, Francesco Tafuri +3
quant-phcs.ETcs.NIarXiv:1810.08421v22018
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
stat.MLcs.CVcs.LGarXiv:2007.03898v32020
VLM-based automatic multi-granularity graph representation of building layouts for design informatics
Song Guo, Zhuoshi Chen, Maosu Li +1
cs.AIarXiv:2608.24886v12026
CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models
Haoxu Huang, Fanqi Lin, Yingdong Hu +2
cs.ROarXiv:2403.08248v12024
Anchored Extra-Proximal Methods: Optimal Higher-Order Methods for Monotone Inclusion Problems
Ruichen Jiang, TaeHo Yoon
math.OCcs.LGstat.MLarXiv:2609.30212v12026
Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models
Shaunak A. Mehta, Ananya Hazarika, Haochen Zhang +5
cs.ROarXiv:2609.03927v12026
HyperAlign: Hypernetwork for Efficient Test-Time Alignment of Diffusion Models
Xin Xie, Jiaxian Guo, Dong Gong
cs.CVarXiv:2601.15968v22026
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
Carola Doerr, Hao Wang, Furong Ye +2
cs.NEarXiv:1810.05281v12018
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira +2
cs.LGstat.MLarXiv:2004.05835v32020
CoTexT: Multi-task Learning with Code-Text Transformer
Long Phan, Hieu Tran, Daniel Le +4
cs.AIcs.PLarXiv:2105.08645v42021
Fully Convolutional Multi-Class Multiple Instance Learning
Deepak Pathak, Evan Shelhamer, Jonathan Long +1
cs.CVcs.LGcs.NEarXiv:1412.7144v42014
CodeMonkeys: Scaling Test-Time Compute for Software Engineering
Ryan Ehrlich, Bradley Brown, Jordan Juravsky +3
cs.LGarXiv:2501.14723v22025
Deep filter banks for texture recognition, description, and segmentation
Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos +1
cs.CVarXiv:1507.02620v22015
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
Hongming Shan, Yi Zhang, Qingsong Yang +5
cs.CVarXiv:1802.05656v22018
Gate-free state preparation for fast variational quantum eigensolver simulations: ctrl-VQE
Oinam Romesh Meitei, Bryan T. Gard, George S. Barron +4
quant-phcond-mat.str-elphysics.chem-pharXiv:2008.04302v32020
Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization
Yan Scholten, Rachel Lawrence, James Hensman +3
cs.LGarXiv:2610.07522v12026
RowHammer: A Retrospective
Onur Mutlu, Jeremie S. Kim
cs.CRcs.ARarXiv:1904.09724v12019
Complementary-Label Learning for Arbitrary Losses and Models
Takashi Ishida, Gang Niu, Aditya Krishna Menon +1
stat.MLcs.LGarXiv:1810.04327v42018
Assessing Generalization of SGD via Disagreement
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek +1
cs.LGcs.AIstat.MLarXiv:2106.13799v22021
Offline Evaluation Measures of Fairness in Recommender Systems
Theresia Veronika Rampisela
cs.IRarXiv:2604.25032v12026
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
Muhammad A. Shah, David Solans Noguero, Mikko A. Heikkila +2
eess.AScs.CLcs.LGarXiv:2403.07937v32024
How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization
Shezheng Song, Hao Xu, Jun Ma +5
cs.CLcs.AIarXiv:2501.13669v22025
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu, Rao Fu, Huihui Fang +5
cs.CVarXiv:2211.00611v52022
Explainable Deep Learning Methods in Medical Image Classification: A Survey
Cristiano Patrício, João C. Neves, Luís F. Teixeira
eess.IVcs.AIcs.CVarXiv:2205.04766v32022
Differentially Private Contextual Linear Bandits
Roshan Shariff, Or Sheffet
cs.LGstat.MLarXiv:1810.00068v12018
Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling
Xinglin Wang, Hao Lin, Shaoxiong Feng +9
cs.CLarXiv:2605.27030v12026
Are we there yet? Understanding the challenges faced in complying with the General Data Protection Regulation (GDPR)
Sean Sirur, Jason R. C. Nurse, Helena Webb
cs.CYcs.CRcs.NIarXiv:1808.07338v12018
On The Computational Complexity of Self-Attention
Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde
cs.LGcs.CCarXiv:2209.04881v12022
Deep Entity Matching with Pre-Trained Language Models
Yuliang Li, Jinfeng Li, Yoshihiko Suhara +2
cs.DBcs.CLarXiv:2004.00584v32020
GAUGE: When Not to Trust LLM-as-a-Judge in User-Simulated Evaluation of Task-Oriented Agents
Umesh Bodhwani, Thanh Tran, Kai Wei
cs.CLcs.LGarXiv:2609.12191v12026
Conditional strategies and the evolution of cooperation in spatial public goods games
Attila Szolnoki, Matjaz Perc
physics.soc-phcs.SInlin.AOarXiv:1201.5626v12012
Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions
Abhishek Rath
cs.AIarXiv:2601.04170v12026
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh
cs.LGcs.CVarXiv:2108.06098v32021
UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior
I-Hsiang Chen, Wei-Ting Chen, Yu-Wei Liu +3
eess.IVcs.LGarXiv:2501.13134v22025
Is Cosine-Similarity of Embeddings Really About Similarity?
Harald Steck, Chaitanya Ekanadham, Nathan Kallus
cs.IRcs.LGarXiv:2403.05440v12024
FlyMark: Training-Free Invisible Watermarking of 3D Gaussian Splatting via a Fruit Fly Connectome
Ziyuan Luo, Haoliang Li, Renjie Wan
cs.CVarXiv:2610.11364v12026
Quantum machine learning: a classical perspective
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo +4
quant-phcs.LGstat.MLarXiv:1707.08561v32017
The Faiss library
Matthijs Douze, Alexandr Guzhva, Chengqi Deng +6
cs.LGcs.CVcs.SEarXiv:2401.08281v42024
Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
Woojung Han, Seil Kang, Youngjun Jun +3
cs.CVarXiv:2606.06361v22026
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
Amila Silva, Ling Luo, Shanika Karunasekera +1
cs.CLcs.IRcs.LGarXiv:2102.06314v42021
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani +2
cs.LGcs.CRcs.CVarXiv:2101.04898v22021
Agentic TCAD Calibration Workflow for Oxide Semiconductor Transistors
Gyujun Jeong, Junmo Lee, Sungwon Cho +11
physics.ins-detcs.AIcs.LGarXiv:2609.12184v22026
Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities
Yousef Radwan
cs.CLcs.AIarXiv:2608.18090v12026
Two Optimal Strategies for Active Learning of Causal Models from Interventional Data
Alain Hauser, Peter Bühlmann
stat.MEcs.DMarXiv:1205.4174v32012
An Isogeometric Boundary Element Method for elastostatic analysis: 2D implementation aspects
R. N. Simpson, S. P. A. Bordas, H. Lian +1
math.NAarXiv:1302.5305v12013
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study
Zhibin Zhao, Tianfu Li, Jingyao Wu +4
eess.SPcs.LGarXiv:2003.03315v32020
Benchmarking Micro-action Recognition: Dataset, Methods, and Applications
Dan Guo, Kun Li, Bin Hu +2
cs.CVarXiv:2403.05234v22024
How model accuracy and explanation fidelity influence user trust
Andrea Papenmeier, Gwenn Englebienne, Christin Seifert
cs.CYcs.AIcs.LGarXiv:1907.12652v12019
Certifying Concept Unlearning in Text-to-Image Diffusion Models
Mansi, Luca Marzari, Francesco Leofante
cs.LGarXiv:2609.12163v12026
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home
Viktor Moskvoretskii, Maria Lysyuk, Mikhail Salnikov +7
cs.CLcs.LGarXiv:2501.12835v22025
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding
Lea Schönherr, Katharina Kohls, Steffen Zeiler +2
cs.CRcs.SDeess.ASarXiv:1808.05665v22018

Every paper with a summary

GraphIE: A Graph-Based Framework for Information Extraction

Supervised Topic Models

Automatic Spatially-aware Fashion Concept Discovery

Fast Online Deconvolution of Calcium Imaging Data

Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?

AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review

MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization

Broadly Applicable Approximate MCMC for Switching Stochastic Differential Equations Using Uniformization and Time-Conditioned Factorized Neural Likelihood Estimation

Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered

Quantum Internet: Networking Challenges in Distributed Quantum Computing

NVAE: A Deep Hierarchical Variational Autoencoder

VLM-based automatic multi-granularity graph representation of building layouts for design informatics

CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models

Anchored Extra-Proximal Methods: Optimal Higher-Order Methods for Monotone Inclusion Problems

Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models

HyperAlign: Hypernetwork for Efficient Test-Time Alignment of Diffusion Models

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

CoTexT: Multi-task Learning with Code-Text Transformer

Fully Convolutional Multi-Class Multiple Instance Learning

CodeMonkeys: Scaling Test-Time Compute for Software Engineering

Deep filter banks for texture recognition, description, and segmentation

3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network

Gate-free state preparation for fast variational quantum eigensolver simulations: ctrl-VQE

Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization

RowHammer: A Retrospective

Complementary-Label Learning for Arbitrary Losses and Models

Assessing Generalization of SGD via Disagreement

Offline Evaluation Measures of Fairness in Recommender Systems

Speech Robust Bench: A Robustness Benchmark For Speech Recognition

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Explainable Deep Learning Methods in Medical Image Classification: A Survey

Differentially Private Contextual Linear Bandits

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling

Are we there yet? Understanding the challenges faced in complying with the General Data Protection Regulation (GDPR)

On The Computational Complexity of Self-Attention

Deep Entity Matching with Pre-Trained Language Models

GAUGE: When Not to Trust LLM-as-a-Judge in User-Simulated Evaluation of Task-Oriented Agents

Conditional strategies and the evolution of cooperation in spatial public goods games

Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions

FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior

Is Cosine-Similarity of Embeddings Really About Similarity?

FlyMark: Training-Free Invisible Watermarking of 3D Gaussian Splatting via a Fruit Fly Connectome

Quantum machine learning: a classical perspective

The Faiss library

Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them

Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data

Unlearnable Examples: Making Personal Data Unexploitable

Agentic TCAD Calibration Workflow for Oxide Semiconductor Transistors

Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities

Two Optimal Strategies for Active Learning of Causal Models from Interventional Data

An Isogeometric Boundary Element Method for elastostatic analysis: 2D implementation aspects

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study

Benchmarking Micro-action Recognition: Dataset, Methods, and Applications

How model accuracy and explanation fidelity influence user trust

Certifying Concept Unlearning in Text-to-Image Diffusion Models

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home

Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding