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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79,501 to 79,560 of 104,192

CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models
Aaron Foss, Chloe Evans, Sasha Mitts +3
cs.CVcs.AIarXiv:2506.09943v12025
Quantum metrology with full and fast quantum control
Pavel Sekatski, Michalis Skotiniotis, Janek Kołodyński +1
quant-pharXiv:1603.08944v52016
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Junzhe Li, Yutao Cui, Tao Huang +8
cs.AIcs.CVarXiv:2507.21802v72025
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples
Yinpeng Dong, Hang Su, Jun Zhu +1
cs.CVarXiv:1708.05493v12017
Steering Versus Teleporting in Mobile Virtual Reality
Kristen Grinyer, Daniel Zielasko, Robert J. Teather
cs.HCarXiv:2609.30620v12026
Superconducting Qubits: Current State of Play
Morten Kjaergaard, Mollie E. Schwartz, Jochen Braumüller +4
quant-phcond-mat.mes-hallphysics.app-pharXiv:1905.13641v32019
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee, Hyungyu Lee, Sungroh Yoon
cs.CVarXiv:2003.02484v32020
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
Yonglong Tian, Yue Wang, Dilip Krishnan +2
cs.CVcs.LGarXiv:2003.11539v22020
Does Muon Need Fine-Grained Spectral Shaping?
Meher Chaitanya, Tianyi Zhou, Aristides Gionis
cs.AIcs.LGstat.MLarXiv:2610.07497v12026
spBayes for large univariate and multivariate point-referenced spatio-temporal data models
Andrew O. Finley, Sudipto Banerjee, Alan E. Gelfand
stat.COstat.MEarXiv:1310.8192v12013
Rethinking the Divergence Regularization in LLM RL
Jiarui Yao, Xiangxin Zhou, Penghui Qi +3
cs.LGarXiv:2606.09821v12026
When More is Less: Understanding Chain-of-Thought Length in LLMs
Yuyang Wu, Yifei Wang, Ziyu Ye +3
cs.AIcs.CLcs.LGarXiv:2502.07266v32025
RT-DETRv3: Real-time End-to-End Object Detection with Hierarchical Dense Positive Supervision
Shuo Wang, Chunlong Xia, Feng Lv +1
cs.CVarXiv:2409.08475v32024
On the Performance of Visible Light Communications Systems with Non-Orthogonal Multiple Access
Hanaa Marshoud, Paschalis C. Sofotasios, Sami Muhaidat +1
cs.ITarXiv:1612.01114v12016
Shape As Points: A Differentiable Poisson Solver
Songyou Peng, Chiyu "Max" Jiang, Yiyi Liao +3
cs.CVcs.GRarXiv:2106.03452v22021
On the loss landscape of a class of deep neural networks with no bad local valleys
Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein
cs.LGcs.AIcs.CVarXiv:1809.10749v22018
FedCoin: A Peer-to-Peer Payment System for Federated Learning
Yuan Liu, Shuai Sun, Zhengpeng Ai +3
cs.CRcs.LGstat.MLarXiv:2002.11711v12020
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
Zhaowei Wang, Wenhao Yu, Xiyu Ren +9
cs.CVcs.CLarXiv:2505.10610v32025
Bayesian Intelligence from the Outside
Alex Smolin, Bryan Wilder
cs.AIecon.THarXiv:2609.14724v12026
PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants
Zheng Zhao, Clara Vania, Subhradeep Kayal +3
cs.CLcs.AIcs.LGarXiv:2506.09902v12025
An Emerging NVM-Based On-Chip Training Architecture with Non-Ideality Mitigation Through Bipolar Weight Distributions
Peng Dang, Youna Huang, Yintao He +1
cs.ARarXiv:2609.01948v12026
Understanding and Enforcing Weight Disentanglement in Task Arithmetic
Shangge Liu, Yuehan Yin, Lei Wang +5
cs.AIarXiv:2604.17078v12026
Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution
Xucong Wang, Ziyu Ma, Shidong Yang +4
cs.AIarXiv:2606.10917v22026
Predicting Neural Network Accuracy from Weights
Thomas Unterthiner, Daniel Keysers, Sylvain Gelly +2
stat.MLcs.LGarXiv:2002.11448v42020
Learnable composition for neural operators
Zituo Chen, Baiming Zhang, Sili Deng
cs.LGarXiv:2609.03069v12026
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei, Yue Gao, Zhirong Wu +2
cs.CVarXiv:2106.02637v22021
Quadratic Complexity of Voronoi Diagrams in $\mathbb{R}^3$ for Lines in a Single Ruling of a Regulus
Eunku Park
cs.CGmath.AGarXiv:2608.27114v12026
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Daya Guo, Qihao Zhu, Dejian Yang +10
cs.SEcs.CLcs.LGarXiv:2401.14196v22024
Convex optimization
Evgeniya Vorontsova, Roland Hildebrand, Alexander Gasnikov +1
math.OCmath.NAarXiv:2106.01946v42021
AIRGuard: Guarding Agent Actions with Runtime Authority Control
Suliu Qin, Haomin Zhuang, Yujun Zhou +2
cs.CRcs.AIarXiv:2605.28914v12026
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar +5
cs.ROcs.LGarXiv:2104.08212v22021
Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability Composition
Yecheng Wu, Song Han, Han Cai
cs.AIarXiv:2609.14708v22026
An Autonomous, 3D Printed, Waterjet-Powered, Open-Source Robotic Trimaran for Environmental Inspection and Monitoring
Reuben O'Brien, Martin Lambrechtse-Reid, Minas Liarokapis
cs.ROcs.SYeess.SYarXiv:2610.07398v12026
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
Antoine Yang, Antoine Miech, Josef Sivic +2
cs.CVcs.CLcs.LGarXiv:2206.08155v22022
IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments
Florian Bordes, Quentin Garrido, Justine T Kao +3
cs.CVarXiv:2506.09849v12025
AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security
Dongrui Liu, Qihan Ren, Chen Qian +40
cs.AIcs.CCcs.CLarXiv:2601.18491v22026
AdvDrop: Adversarial Attack to DNNs by Dropping Information
Ranjie Duan, Yuefeng Chen, Dantong Niu +3
cs.CVcs.CRcs.LGarXiv:2108.09034v12021
Wireless-Powered Relays in Cooperative Communications: Time-Switching Relaying Protocols and Throughput Analysis
Ali Arshad Nasir, Xiangyun Zhou, Salman Durrani +1
cs.ITarXiv:1310.7648v52013
High-throughput discovery of novel cubic crystal materials using deep generative neural networks
Yong Zhao, Mohammed Al-Fahdi, Ming Hu +4
cond-mat.mtrl-sciarXiv:2102.01880v22021
BRiDCT: Fast Two-Dimensional DCTs Using SIMD: SIMD Organization, Register Blocking, and Numerical Verification
Antoine Moevus, Max Mignotte
eess.IVeess.SParXiv:2609.28519v12026
Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication
Dana Hughes, Nikolaus Correll
cs.LGcs.ROarXiv:1606.03508v12016
Entity-level Factual Consistency of Abstractive Text Summarization
Feng Nan, Ramesh Nallapati, Zhiguo Wang +5
cs.CLcs.AIarXiv:2102.09130v12021
Identity-Conditioned Score Fusion for Open-Set Person Re-Identification
Manyi Yao, Jurijs Nazarovs, Eunji Chong +6
cs.CVcs.LGarXiv:2610.07366v12026
Large Language Models Struggle to Learn Long-Tail Knowledge
Nikhil Kandpal, Haikang Deng, Adam Roberts +2
cs.CLcs.LGarXiv:2211.08411v22022
Repairing Multiple Failures with Coordinated and Adaptive Regenerating Codes
Anne-Marie Kermarrec, Gilles Straub, Nicolas Le Scouarnec
cs.ITcs.DCarXiv:1102.0204v32011
Energy Cooperation in Cellular Networks with Renewable Powered Base Stations
Yeow-Khiang Chia, Sumei Sun, Rui Zhang
cs.ITarXiv:1301.4786v22013
PageRank beyond the Web
David F. Gleich
cs.SIcs.CEmath.NAarXiv:1407.5107v12014
Skill Composition for Legged Robot Reinforcement Learning
Daniel Gigliotti, Flavio Maiorana, Fabio Patrizi +1
cs.ROcs.AIarXiv:2609.14647v12026
UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors
Houyuan Chen, Hong Li, Xianghao Kong +8
cs.CVarXiv:2605.00658v12026
Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population
Abhirup Banerjee, Surajit Ray, Bart Vorselaars +5
stat.APq-bio.QMarXiv:2007.06971v22020
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
Jiawei Wang, Renhe Jiang, Chuang Yang +5
cs.AIcs.CLcs.CYarXiv:2402.14744v32024
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
Yifei Li, Hanane Nour Moussa, Ziru Chen +16
cs.LGcs.CLarXiv:2506.08140v22025
Grounded, Compute-Efficient LLM Policy Agents for Energy-Poverty Equity in Physically-Constrained Peer-to-Peer Energy Markets
Kunal Jadhav, Siddhesh More
cs.CLarXiv:2609.01918v12026
Diffusion-Based Generation of Gait Trajectories
Damian Benasco, Juan Carballeira-Lopez, Jaime Ramos-Rojas +4
cs.AIcs.LGcs.ROarXiv:2609.14642v12026
All are Worth Words: A ViT Backbone for Diffusion Models
Fan Bao, Shen Nie, Kaiwen Xue +4
cs.CVcs.AIcs.LGarXiv:2209.12152v42022
Extending the Bump Hunt with Machine Learning
Jack H Collins, Kiel Howe, Benjamin Nachman
hep-phhep-exarXiv:1902.02634v22019
Internalizing Agent Experience into Diffusion Model Weights via On-Policy Context Distillation
Wenxuan Wang, Zekai Liu, Weinan Zhang +2
cs.AIarXiv:2610.07250v12026
AlgoRAG: Retrieval-Augmented Generation for Theoretical Computer Science Education -- A Comprehensive Evaluation Framework for Algorithm Analysis and Complexity Theory
Sushan Adhikari
cs.CYcs.AIcs.IRarXiv:2609.14572v12026
Can We Predict Before Executing Machine Learning Agents?
Jingsheng Zheng, Jintian Zhang, Yujie Luo +5
cs.CLcs.AIcs.LGarXiv:2601.05930v22026
Optimal Charging of an Electric Vehicle using a Markov Decision Process
Emil B. Iversen, Juan M. Morales, Henrik Madsen
math.OCarXiv:1310.6926v12013

Every paper with a summary

CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models

Quantum metrology with full and fast quantum control

MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

Steering Versus Teleporting in Mobile Virtual Reality

Superconducting Qubits: Current State of Play

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization

Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?

Does Muon Need Fine-Grained Spectral Shaping?

spBayes for large univariate and multivariate point-referenced spatio-temporal data models

Rethinking the Divergence Regularization in LLM RL

When More is Less: Understanding Chain-of-Thought Length in LLMs

RT-DETRv3: Real-time End-to-End Object Detection with Hierarchical Dense Positive Supervision

On the Performance of Visible Light Communications Systems with Non-Orthogonal Multiple Access

Shape As Points: A Differentiable Poisson Solver

On the loss landscape of a class of deep neural networks with no bad local valleys

FedCoin: A Peer-to-Peer Payment System for Federated Learning

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly

Bayesian Intelligence from the Outside

PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants

An Emerging NVM-Based On-Chip Training Architecture with Non-Ideality Mitigation Through Bipolar Weight Distributions

Understanding and Enforcing Weight Disentanglement in Task Arithmetic

Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution

Predicting Neural Network Accuracy from Weights

Learnable composition for neural operators

Aligning Pretraining for Detection via Object-Level Contrastive Learning

Quadratic Complexity of Voronoi Diagrams in $\mathbb{R}^3$ for Lines in a Single Ruling of a Regulus

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Convex optimization

AIRGuard: Guarding Agent Actions with Runtime Authority Control

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability Composition

An Autonomous, 3D Printed, Waterjet-Powered, Open-Source Robotic Trimaran for Environmental Inspection and Monitoring

Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments

AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security

AdvDrop: Adversarial Attack to DNNs by Dropping Information

Wireless-Powered Relays in Cooperative Communications: Time-Switching Relaying Protocols and Throughput Analysis

High-throughput discovery of novel cubic crystal materials using deep generative neural networks

BRiDCT: Fast Two-Dimensional DCTs Using SIMD: SIMD Organization, Register Blocking, and Numerical Verification

Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication

Entity-level Factual Consistency of Abstractive Text Summarization

Identity-Conditioned Score Fusion for Open-Set Person Re-Identification

Large Language Models Struggle to Learn Long-Tail Knowledge

Repairing Multiple Failures with Coordinated and Adaptive Regenerating Codes

Energy Cooperation in Cellular Networks with Renewable Powered Base Stations

PageRank beyond the Web

Skill Composition for Legged Robot Reinforcement Learning

UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors

Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists

Grounded, Compute-Efficient LLM Policy Agents for Energy-Poverty Equity in Physically-Constrained Peer-to-Peer Energy Markets

Diffusion-Based Generation of Gait Trajectories

All are Worth Words: A ViT Backbone for Diffusion Models

Extending the Bump Hunt with Machine Learning

Internalizing Agent Experience into Diffusion Model Weights via On-Policy Context Distillation

AlgoRAG: Retrieval-Augmented Generation for Theoretical Computer Science Education -- A Comprehensive Evaluation Framework for Algorithm Analysis and Complexity Theory

Can We Predict Before Executing Machine Learning Agents?

Optimal Charging of an Electric Vehicle using a Markov Decision Process