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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65,521 to 65,580 of 104,333

On a maximum principle in discretization with spherical harmonics
Arnold Reusken
math.NAarXiv:2610.13540v12026
Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
Yan Hu, Qingyu Chen, Jingcheng Du +9
cs.CLarXiv:2303.16416v32023
Adaptive Multiresolution Diffusion Operators: A Variational Theory on Evolving Multiresolution Spaces
Christian Tantardini, Stig Rune Jensen, Roberto Di Remigio Eikås +1
math.NAcs.NAarXiv:2610.01809v12026
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Alex Fang, Gabriel Ilharco, Mitchell Wortsman +4
cs.CVcs.CLcs.LGarXiv:2205.01397v22022
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors
Amit G. Deshwar, Shankar Vembu, Christina K. Yung +3
q-bio.PEcs.LGstat.MLarXiv:1406.7250v32014
Residual Dense Network for Image Restoration
Yulun Zhang, Yapeng Tian, Yu Kong +2
cs.CVarXiv:1812.10477v22018
EnergyStar++: Towards more accurate and explanatory building energy benchmarking
Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller
stat.APcs.LGeess.SYarXiv:1910.14563v22019
Do as I Do: Dexterous Manipulation Data from Everyday Human Videos
Bhawna Paliwal, Haritheja Etukuru, William Liang +3
cs.ROcs.CVarXiv:2606.19333v12026
Are LLM-based Evaluators Confusing NLG Quality Criteria?
Xinyu Hu, Mingqi Gao, Sen Hu +4
cs.CLarXiv:2402.12055v22024
Spatial-Temporal Person Re-identification
Guangcong Wang, Jianhuang Lai, Peigen Huang +1
cs.CVarXiv:1812.03282v12018
Deep linear neural networks with arbitrary loss: All local minima are global
Thomas Laurent, James von Brecht
cs.LGstat.MLarXiv:1712.01473v22017
DoPE: Denoising Rotary Position Embedding
Jing Xiong, Liyang Fan, Hui Shen +4
cs.CLarXiv:2511.09146v22025
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
Shayne Longpre, Yi Lu, Joachim Daiber
cs.CLarXiv:2007.15207v22020
On a Formal Model of Safe and Scalable Self-driving Cars
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
cs.ROcs.AIstat.MLarXiv:1708.06374v62017
Multi-Armed Bandits in Metric Spaces
Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
cs.DScs.LGarXiv:0809.4882v12008
Discontinuities and hysteresis in quantized average consensus
Francesca Ceragioli, Claudio De Persis, Paolo Frasca
math.OCeess.SYarXiv:1001.2620v42010
AI-Enabled Human Memory Manipulation: Misleading AI-Generated Summaries Distort Human Memory
Mattea Sim, Yael Eiger, Tadayoshi Kohno
cs.CYarXiv:2609.28820v12026
Practical Efficiency of Muon for Pretraining
Essential AI, :, Ishaan Shah +22
cs.LGstat.MLarXiv:2505.02222v42025
Metaplasticity as adaptive gradient preconditioning for incremental learning
Isabelle Aguilar, Zayn Andre Zainal, Omid Kavehei
cs.LGarXiv:2608.14634v12026
Differential Privacy: on the trade-off between Utility and Information Leakage
Mário S. Alvim, Miguel E. Andrés, Konstantinos Chatzikokolakis +2
cs.CRcs.DBcs.ITarXiv:1103.5188v32011
From Learner Behavior to Reusable Skills for Effective and Efficient Learner Simulation
Zijian Chen, Zheng Zhang, Miao Jia +3
cs.AIarXiv:2609.37157v12026
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting
Chenfeng Xu, Kai Qiu, Jianlong Fu +3
cs.CVarXiv:1907.12428v22019
The Anatomy of the Moltbook Social Graph
David Holtz
cs.SIcs.AIcs.CYarXiv:2602.10131v12026
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling
Jiefeng Chen, Jie Ren, Xinyun Chen +4
cs.AIcs.CLarXiv:2501.19306v52025
On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy
Ninghui Li, Wahbeh Qardaji, Dong Su
cs.CRarXiv:1101.2604v22011
A Responsible Artificial Intelligence Framework for Groundwater Modeling
Chong Chen, Yulu Zhang, Qingxi Guo +1
cs.AIarXiv:2608.15657v12026
On the Alignment Between Spectral Efficiency and Positioning Accuracy in Multi-LEO Clusters
Konstantinos Kapoglis, Sharief Saleh, Henk Wymeersch +1
cs.NIarXiv:2610.13526v12026
Reputation-based Incentive Protocols in Crowdsourcing Applications
Yu Zhang, Mihaela van der Schaar
cs.AIcs.GTcs.SIarXiv:1108.2096v12011
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak, Mahdi Soltanolkotabi
cs.LGmath.OCstat.MLarXiv:1812.10004v12018
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Yixuan Su, Lei Shu, Elman Mansimov +4
cs.CLarXiv:2109.14739v22021
UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action
Yuhao Yang, Zhen Yang, Zi-Yi Dou +10
cs.CVcs.CLarXiv:2510.17790v32025
PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving
Jie Cheng, Yingbing Chen, Qifeng Chen
cs.ROarXiv:2404.14327v12024
FSVideo: Fast Speed Video Diffusion Model in a Highly-Compressed Latent Space
FSVideo Team, Qingyu Chen, Zhiyuan Fang +17
cs.CVarXiv:2602.02092v12026
Crystal Structure Representations for Machine Learning Models of Formation Energies
Felix Faber, Alexander Lindmaa, O. Anatole von Lilienfeld +1
physics.chem-pharXiv:1503.07406v12015
LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
Junxiao Yang, Haoran Liu, Jinzhe Tu +9
cs.LGcs.AIcs.CLarXiv:2604.12710v22026
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
Aditya Golatkar, Alessandro Achille, Stefano Soatto
cs.LGcs.CVcs.ITarXiv:2003.02960v32020
Meta-Learning via Learned Loss
Sarah Bechtle, Artem Molchanov, Yevgen Chebotar +4
cs.LGcs.AIcs.ROarXiv:1906.05374v42019
Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall: A Pre-Registered Negative Result with a Systems Measurement Study
Shriniwas Ramesh Suram
cs.AIcs.LGarXiv:2608.18261v12026
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
Emmanuel Abbe, Enric Boix-Adsera, Theodor Misiakiewicz
cs.LGstat.MLarXiv:2302.11055v22023
Randomized Transport Maps for Model-Free Policy-Gradient Mean-Field Control
Adonis Jamal, Samy Mekkaoui, Yadh Hafsi +1
math.OCcs.LGarXiv:2610.11619v12026
Online Stochastic Matching: Beating 1-1/e
Jon Feldman, Aranyak Mehta, Vahab Mirrokni +1
cs.DScs.CCarXiv:0905.4100v12009
Codifying the Judge: Scalable Evaluation via Program Distillation
Tzu-Heng Huang, Shengqi Qiu, Frederic Sala
cs.AIcs.LGarXiv:2607.22561v12026
Diagonal Multi-omics Integration of Heterogenous Datasets
Maksim V. Kukushkin, Mikhail S. Arbatskiy, Dmitriy E. Balandin +1
stat.MLcs.LGmath.FAarXiv:2608.16968v12026
HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding
Darius Petermann, Seungkwon Beack, Minje Kim
eess.AScs.AIcs.SDarXiv:2107.10843v22021
EditGAN: High-Precision Semantic Image Editing
Huan Ling, Karsten Kreis, Daiqing Li +3
cs.CVcs.AIarXiv:2111.03186v12021
Time-Domain Analysis of Surface Acoustic Wave Magnetoelectric Sensors
Mohsen Samadi, Henrik Wolframm, Felix Weisheit +4
physics.app-phcond-mat.mtrl-scics.SYarXiv:2610.11421v12026
Entanglement Suppression and Emergent Symmetries of Strong Interactions
Silas R. Beane, David B. Kaplan, Natalie Klco +1
nucl-thhep-lathep-pharXiv:1812.03138v12018
Differences in Impact Factor Across Fields and Over Time
Benjamin M. Althouse, Jevin D. West, Theodore Bergstrom +1
physics.soc-pharXiv:0804.3116v12008
Resource-efficient Purification-based Quantum Error Mitigation
Zhenyu Cai
quant-pharXiv:2107.07279v12021
Improving CUR Matrix Decomposition and the Nyström Approximation via Adaptive Sampling
Shusen Wang, Zhihua Zhang
cs.LGmath.NAarXiv:1303.4207v72013
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
Ivan Evtimov, Arman Zharmagambetov, Aaron Grattafiori +2
cs.CRcs.AIarXiv:2504.18575v32025
Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation
Seulbin Hwang, Kiyoung Om, Daejung Kim +1
cs.ROcs.LGarXiv:2607.06957v12026
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks
Nils Reimers, Iryna Gurevych
cs.CLarXiv:1707.06799v22017
Common Covariance Geometry and Certification for Brownian Kernel Ladders
Mahdi Mohammadigohari
cs.LGarXiv:2609.29525v12026
Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds
Ahmed Elzanaty, Anna Guerra, Francesco Guidi +1
cs.ITeess.SParXiv:2009.02818v12020
A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao +3
cs.LGcs.CLarXiv:2504.07086v22025
Location reference identification from tweets during emergencies: A deep learning approach
Abhinav Kumar, Jyoti Prakash Singh
cs.LGcs.CLstat.MLarXiv:1901.08241v12019
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
Krzysztof J. Geras, Stacey Wolfson, Yiqiu Shen +7
cs.CVcs.LGstat.MLarXiv:1703.07047v32017
Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements
Emmanuel J. Candes, Yaniv Plan
cs.ITarXiv:1001.0339v12010
A Survey on Interpretable Reinforcement Learning
Claire Glanois, Paul Weng, Matthieu Zimmer +4
cs.LGcs.AIarXiv:2112.13112v22021

Every paper with a summary

On a maximum principle in discretization with spherical harmonics

Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering

Adaptive Multiresolution Diffusion Operators: A Variational Theory on Evolving Multiresolution Spaces

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

Reconstructing subclonal composition and evolution from whole genome sequencing of tumors

Residual Dense Network for Image Restoration

EnergyStar++: Towards more accurate and explanatory building energy benchmarking

Do as I Do: Dexterous Manipulation Data from Everyday Human Videos

Are LLM-based Evaluators Confusing NLG Quality Criteria?

Spatial-Temporal Person Re-identification

Deep linear neural networks with arbitrary loss: All local minima are global

DoPE: Denoising Rotary Position Embedding

MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

On a Formal Model of Safe and Scalable Self-driving Cars

Multi-Armed Bandits in Metric Spaces

Discontinuities and hysteresis in quantized average consensus

AI-Enabled Human Memory Manipulation: Misleading AI-Generated Summaries Distort Human Memory

Practical Efficiency of Muon for Pretraining

Metaplasticity as adaptive gradient preconditioning for incremental learning

Differential Privacy: on the trade-off between Utility and Information Leakage

From Learner Behavior to Reusable Skills for Effective and Efficient Learner Simulation

Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting

The Anatomy of the Moltbook Social Graph

SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling

On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy

A Responsible Artificial Intelligence Framework for Groundwater Modeling

On the Alignment Between Spectral Efficiency and Positioning Accuracy in Multi-LEO Clusters

Reputation-based Incentive Protocols in Crowdsourcing Applications

Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action

PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

FSVideo: Fast Speed Video Diffusion Model in a Highly-Compressed Latent Space

Crystal Structure Representations for Machine Learning Models of Formation Energies

LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

Meta-Learning via Learned Loss

Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall: A Pre-Registered Negative Result with a Systems Measurement Study

SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics

Randomized Transport Maps for Model-Free Policy-Gradient Mean-Field Control

Online Stochastic Matching: Beating 1-1/e

Codifying the Judge: Scalable Evaluation via Program Distillation

Diagonal Multi-omics Integration of Heterogenous Datasets

HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding

EditGAN: High-Precision Semantic Image Editing

Time-Domain Analysis of Surface Acoustic Wave Magnetoelectric Sensors

Entanglement Suppression and Emergent Symmetries of Strong Interactions

Differences in Impact Factor Across Fields and Over Time

Resource-efficient Purification-based Quantum Error Mitigation

Improving CUR Matrix Decomposition and the Nyström Approximation via Adaptive Sampling

WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

Common Covariance Geometry and Certification for Brownian Kernel Ladders

Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility

Location reference identification from tweets during emergencies: A deep learning approach

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks

Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements

A Survey on Interpretable Reinforcement Learning