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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60,721 to 60,780 of 115,066

Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
Jing Jin, Junhui Hou, Jie Chen +1
cs.CVeess.IVarXiv:2004.02215v12020
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Jiaqi Guo, Zecheng Zhan, Yan Gao +4
cs.CLarXiv:1905.08205v22019
DANTINOX: A Unified Framework for Multi-Paradigm Language Modeling
Marco Simoni, Aleksandar Fontana, Giulio Rossolini +1
cs.CLarXiv:2609.17535v12026
Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors
Umar Iqbal, Steven Englehardt, Zubair Shafiq
cs.CRarXiv:2008.04480v12020
Fitting heavy tailed distributions: the poweRlaw package
Colin S Gillespie
stat.COphysics.data-anarXiv:1407.3492v12014
Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations
Roberto Piersanti, Pasquale C. Africa, Marco Fedele +4
math.NAcs.CEcs.NAarXiv:2101.10960v12021
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
Ramy Baly, Giovanni Da San Martino, James Glass +1
cs.CLarXiv:2010.05338v12020
Collective phenomena emerging from the interactions between dynamical processes in multiplex networks
Vincenzo Nicosia, Per Sebastian Skardal, Alex Arenas +1
nlin.AOmath.DSnlin.CDarXiv:1405.5855v72014
Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning
Jiapeng Zhu, Jianxiang Yu, Yibo Zhao +5
cs.CLarXiv:2605.28424v12026
Causal Network Inference via Group Sparse Regularization
Andrew Bolstad, Barry Van Veen, Robert Nowak
stat.MLarXiv:1106.0762v12011
Network Synthesis of Linear Dynamical Quantum Stochastic Systems
H. I. Nurdin, M. R. James, A. C. Doherty
quant-pharXiv:0806.4448v22008
Instant4D: 4D Gaussian Splatting in Minutes
Zhanpeng Luo, Haoxi Ran, Li Lu
cs.CVarXiv:2510.01119v12025
SageAttention2++: A More Efficient Implementation of SageAttention2
Jintao Zhang, Xiaoming Xu, Jia Wei +5
cs.LGcs.AIcs.ARarXiv:2505.21136v32025
Calibration in Deep Learning: A Survey of the State-of-the-Art
Cheng Wang
cs.LGcs.AIarXiv:2308.01222v42023
Collaborating with Humans without Human Data
DJ Strouse, Kevin R. McKee, Matt Botvinick +2
cs.LGcs.HCcs.MAarXiv:2110.08176v22021
Differential Privacy: An Economic Method for Choosing Epsilon
Justin Hsu, Marco Gaboardi, Andreas Haeberlen +4
cs.DBarXiv:1402.3329v12014
An investigation of model-free planning
Arthur Guez, Mehdi Mirza, Karol Gregor +10
cs.LGcs.AIstat.MLarXiv:1901.03559v22019
Large Language Models are not Fair Evaluators
Peiyi Wang, Lei Li, Liang Chen +7
cs.CLcs.AIcs.IRarXiv:2305.17926v22023
Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions
Mai Pham, Vikrant Vaze, Peter Chin
cs.GTarXiv:2509.10983v12025
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
Runsheng Xu, Hao Xiang, Zhengzhong Tu +3
cs.CVarXiv:2203.10638v32022
Self-Imitation Learning
Junhyuk Oh, Yijie Guo, Satinder Singh +1
cs.LGcs.AIstat.MLarXiv:1806.05635v12018
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Zhuoning Yuan, Yan Yan, Milan Sonka +1
cs.LGcs.CVmath.OCarXiv:2012.03173v22020
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images
Aron Yu, Kristen Grauman
cs.CVarXiv:1612.06341v22016
StyleGAN2 Distillation for Feed-forward Image Manipulation
Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin
cs.CVarXiv:2003.03581v22020
Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications
Xin-She Yang, Suash Deb, Simon Fong
math.OCarXiv:1203.6577v12012
Unified Structure Generation for Universal Information Extraction
Yaojie Lu, Qing Liu, Dai Dai +5
cs.CLarXiv:2203.12277v12022
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
Changqian Yu, Changxin Gao, Jingbo Wang +3
cs.CVarXiv:2004.02147v12020
Sparse Recovery of Streaming Signals Using L1-Homotopy
M. Salman Asif, Justin Romberg
cs.ITmath.OCstat.MLarXiv:1306.3331v12013
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang, Shenda Hong
cs.LGcs.AIarXiv:2202.04770v32022
ICLE++: Modeling Fine-Grained Traits for Holistic Essay Scoring
Shengjie Li, Vincent Ng
cs.CLarXiv:2607.27671v12026
Video Models Reason Early: Exploiting Plan Commitment for Maze Solving
Kaleb Newman, Tyler Zhu, Olga Russakovsky
cs.CVarXiv:2603.30043v12026
Modulation in the Air: Backscatter Communication over Ambient OFDM Carrier
Gang Yang, Ying-Chang Liang, Rui Zhang +1
cs.ITarXiv:1704.02245v22017
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen, Alexander Hermans, Markus Mathias +1
cs.CVarXiv:1611.08323v22016
A Light CNN for Deep Face Representation with Noisy Labels
Xiang Wu, Ran He, Zhenan Sun +1
cs.CVarXiv:1511.02683v42015
MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents
Xijia Tao, Yihua Teng, Xinxing Su +7
cs.AIarXiv:2508.21475v32025
Joint Design for Simultaneously Transmitting And Reflecting (STAR) RIS Assisted NOMA Systems
Jiakuo Zuo, Yuanwei Liu, Zhiguo Ding +2
cs.ITeess.SParXiv:2106.03001v22021
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat, Jennifer Gillenwater, Eric Xing +1
cs.LGcs.AIstat.MLarXiv:2010.05273v42020
Tensor Decomposition of Transformer Key-Value Caches: Spectral Structure and Format Comparison
Rahul Krishnan, Volker Schulz
math.NAcs.CLcs.LGarXiv:2609.28029v12026
A quantum information processor with trapped ions
Philipp Schindler, Daniel Nigg, Thomas Monz +10
quant-pharXiv:1308.3096v12013
On the Explainability of Natural Language Processing Deep Models
Julia El Zini, Mariette Awad
cs.CLcs.HCarXiv:2210.06929v12022
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Jianbo Zhao, Yuzhang Tian +8
cs.AIarXiv:2407.09025v22024
CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs
Yongcheng Zeng, Zexu Sun, Bokai Ji +7
cs.LGcs.AIarXiv:2510.01037v22025
The first WASP public data release
O. W. Butters, R. G. West, D. R. Anderson +17
astro-ph.EParXiv:1009.5306v12010
Analytic Dynamics: Learning Physics-Grounded Representation for Fast Intrinsic Dynamics Inference from Monocular Videos
Jailing Lin, Jikuan Zhang, Jianhua Sun
cs.CVarXiv:2608.31025v12026
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
Ming Li, Yong Zhang, Zhitao Li +6
cs.CLarXiv:2308.12032v52023
Evaluating Feedback Focus and Pedagogical Adaptivity in LLM-Generated Feedback on Student Writing
Norah Almousa, Shayan Peyghambari Oskoui, Raquel Coelho +3
cs.CLcs.AIarXiv:2609.28026v12026
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent +2
cs.LGarXiv:2110.07875v22021
Lost in the Evidence? Reproducing Document Position and Context Size Effects in RAG
Jorge Gabín, Anxo Perez, Javier Parapar
cs.IRarXiv:2605.27105v22026
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Litu Rout, Negin Raoof, Giannis Daras +3
cs.LGcs.AIstat.MLarXiv:2307.00619v12023
Multimode Optical Fiber Transmission with a Deep Learning Network
Babak Rahmani, Damien Loterie, Georgia Konstantinou +2
physics.opticsarXiv:1805.05134v22018
High-dimensional cluster analysis with the Masked EM Algorithm
Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris
q-bio.QMcs.LGq-bio.NCarXiv:1309.2848v12013
Supervised, semi-supervised and unsupervised inference of gene regulatory networks
Stefan R. Maetschke, Piyush B. Madhamshettiwar, Melissa J. Davis +1
q-bio.MNq-bio.QMstat.MLarXiv:1301.1083v12013
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
Zhilin Zhang, Bhaskar D. Rao
stat.MLcs.LGarXiv:1102.3949v22011
Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks
Zhicheng Guo, Sijie Cheng, Yile Wang +2
cs.CLarXiv:2305.17653v12023
Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information
Julien Gacon, Christa Zoufal, Giuseppe Carleo +1
quant-pharXiv:2103.09232v22021
DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
Yi Chen, Yuying Ge, Hui Zhou +3
cs.ROcs.AIcs.CVarXiv:2603.29844v22026
PCQC: Privileged Counterfactual Question Credit for Multi-Turn Medical Dialogue
Chenxuan Li, Jiayi Wan, Xinrong Chen +3
cs.LGarXiv:2609.27987v12026
Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions
Qinglin Yang, Chen Qiu, Hongyuan Zhang +3
cs.LGcs.AIcs.DCarXiv:2608.13844v12026
Neural Operator: Graph Kernel Network for Partial Differential Equations
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli +4
cs.LGmath.NAstat.MLarXiv:2003.03485v12020
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr
cs.LGcs.CRcs.ITarXiv:1902.00641v22019

Every paper with a summary

Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization

Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation

DANTINOX: A Unified Framework for Multi-Paradigm Language Modeling

Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors

Fitting heavy tailed distributions: the poweRlaw package

Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations

We Can Detect Your Bias: Predicting the Political Ideology of News Articles

Collective phenomena emerging from the interactions between dynamical processes in multiplex networks

Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning

Causal Network Inference via Group Sparse Regularization

Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Instant4D: 4D Gaussian Splatting in Minutes

SageAttention2++: A More Efficient Implementation of SageAttention2

Calibration in Deep Learning: A Survey of the State-of-the-Art

Collaborating with Humans without Human Data

Differential Privacy: An Economic Method for Choosing Epsilon

An investigation of model-free planning

Large Language Models are not Fair Evaluators

Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions

V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer

Self-Imitation Learning

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images

StyleGAN2 Distillation for Feed-forward Image Manipulation

Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications

Unified Structure Generation for Universal Information Extraction

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation

Sparse Recovery of Streaming Signals Using L1-Homotopy

Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion

ICLE++: Modeling Fine-Grained Traits for Holistic Essay Scoring

Video Models Reason Early: Exploiting Plan Commitment for Maze Solving

Modulation in the Air: Backscatter Communication over Ambient OFDM Carrier

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes

A Light CNN for Deep Face Representation with Noisy Labels

MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents

Joint Design for Simultaneously Transmitting And Reflecting (STAR) RIS Assisted NOMA Systems

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms

Tensor Decomposition of Transformer Key-Value Caches: Spectral Structure and Format Comparison

A quantum information processor with trapped ions

On the Explainability of Natural Language Processing Deep Models

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs

The first WASP public data release

Analytic Dynamics: Learning Physics-Grounded Representation for Fast Intrinsic Dynamics Inference from Monocular Videos

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Evaluating Feedback Focus and Pedagogical Adaptivity in LLM-Generated Feedback on Student Writing

Graph Neural Networks with Learnable Structural and Positional Representations

Lost in the Evidence? Reproducing Document Position and Context Size Effects in RAG

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

Multimode Optical Fiber Transmission with a Deep Learning Network

High-dimensional cluster analysis with the Masked EM Algorithm

Supervised, semi-supervised and unsupervised inference of gene regulatory networks

Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning

Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information

DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA

PCQC: Privileged Counterfactual Question Credit for Multi-Turn Medical Dialogue

Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions

Neural Operator: Graph Kernel Network for Partial Differential Equations

CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning