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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86,161 to 86,220 of 102,602

Imposing Hard Constraints on Deep Networks: Promises and Limitations
Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
cs.CVarXiv:1706.02025v12017
Data Poisoning Attacks Against Federated Learning Systems
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy +1
cs.LGcs.CRstat.MLarXiv:2007.08432v22020
LAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing
Ruoqi Shu, Xuhui Wang, Isaac Wang +2
cs.AIarXiv:2608.16763v12026
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein +4
cs.LGcond-mat.dis-nncs.ETarXiv:2104.13386v12021
Jina-OCR-v1: Efficient Document Parsing with Speculative Decoding and Dense Verifiable Rewards
Alejandro Barón García, Feng Wang, Emilia Garcia Casademont +1
cs.CLcs.CVarXiv:2609.03181v12026
On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
Etienne Casanova, Rafal Kocielnik, R. Michael Alvarez
cs.CLcs.AIcs.LGarXiv:2606.00467v12026
Differentially Private Model Publishing for Deep Learning
Lei Yu, Ling Liu, Calton Pu +2
cs.CRcs.LGarXiv:1904.02200v52019
Colored Noise Diffusion Sampling
Hadar Davidson, Noam Issachar, Sagie Benaim
cs.CVarXiv:2605.30332v12026
Does Inference Scaling Improve Reasoning Faithfulness? A Multi-Model Analysis of Self-Consistency Tradeoffs
Deep Mehta
cs.AIarXiv:2601.06423v12026
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney +2
cs.CRcs.LGarXiv:1807.07838v42018
Hate Speech Classification In Roman Urdu: A Comparative Study On Parameter Efficient Fine-Tuning And Prompt Engineering
Toneema Zubair
cs.AIarXiv:2608.21408v12026
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
Susung Hong, Gyuseong Lee, Wooseok Jang +1
cs.CVcs.AIcs.LGarXiv:2210.00939v62022
TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models
Fangxu Yu, Xingang Guo, Lingzhi Yuan +6
cs.AIcs.LGarXiv:2601.18744v22026
Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning
Yifei Li, Wenzhao Zheng, Yanran Zhang +5
cs.CVarXiv:2512.15693v22025
Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation
Shiqi Liu, Zeyu He, Letian Tao +9
cs.LGcs.AIcs.PLarXiv:2609.16937v12026
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch, Adam Dziedzic, Roei Schuster +3
cs.LGcs.CRcs.DCarXiv:2112.02918v22021
The Surprising Effectiveness of Approximate Value Iteration in Self-Play
Raphael Boige, Amine Boumaza, Bruno Scherrer
cs.AIarXiv:2609.09094v12026
Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval
Maddalena Amendola, Antonio Mallia, Raffaele Perego
cs.IRarXiv:2609.05110v12026
Physical Layer Security for Massive MIMO: An Overview on Passive Eavesdropping and Active Attacks
Dzevdan Kapetanovic, Gan Zheng, Fredrik Rusek
cs.ITarXiv:1504.07154v12015
Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces
Seth Karten, Cameron Crow, Chi Jin
cs.LGcs.MAarXiv:2605.17698v12026
Invocation-Level Reliability of Tool-Using Agents
Afiya Noorain, Subhranshu Mohanty, Amritesh Banerjee +1
cs.AIcs.CLcs.LGarXiv:2608.26189v12026
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao, Siyu Li, Yixin Liu +4
cs.AIcs.CLcs.LGarXiv:2303.04226v12023
OneLOop: for the evaluation of one-loop scalar functions
A. van Hameren
hep-pharXiv:1007.4716v12010
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye, Michael Henry Tessler, Joshua B. Tenenbaum +1
cs.AIcs.CLcs.LGarXiv:2107.02794v22021
Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism
Yuhao Shen, Tianyu Liu, Junyi Shen +4
cs.CLarXiv:2601.05524v32026
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Siming Huang, Tianhao Cheng, J. K. Liu +16
cs.CLcs.PLarXiv:2411.04905v32024
Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks
Jean Hausser, Korbinian Strimmer
stat.MLarXiv:0811.3579v32008
Parallax: Parameterized Local Linear Attention for Language Modeling
Yifei Zuo, Dhruv Pai, Zhichen Zeng +3
cs.LGcs.AIcs.CLarXiv:2605.29157v12026
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Md Fazle Rabby, Yazhou Tu, Md Imran Hossen +3
cs.LGcs.AIarXiv:2101.06850v12021
Fully Sparse 3D Object Detection
Lue Fan, Feng Wang, Naiyan Wang +1
cs.CVcs.ROarXiv:2207.10035v22022
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
Dmitry Molchanov, Alexander Lyzhov, Yuliya Molchanova +2
stat.MLcs.CVcs.LGarXiv:2002.09103v22020
dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra
Alfred Nilsson, Joel Lapin, Samuel H. Payne +2
cs.LGarXiv:2610.06282v12026
Dealing with Stochastic Volatility in Time Series Using the R Package stochvol
Gregor Kastner
stat.COecon.EMq-fin.CParXiv:1906.12134v12019
NoisEasier: Test-Time Noise Optimization for Text-to-Video Generation
Yujiang Pu, Yu Kong
cs.CVarXiv:2608.30194v12026
CosmoSIS: modular cosmological parameter estimation
Joe Zuntz, Marc Paterno, Elise Jennings +6
astro-ph.COastro-ph.IMarXiv:1409.3409v22014
Developing ChemDFM as a large language foundation model for chemistry
Zihan Zhao, Da Ma, Lu Chen +11
cs.CLcs.DLarXiv:2401.14818v62024
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou, Guansong Pang, Yu Tian +2
cs.CVarXiv:2310.18961v122023
ModelDiff: A Framework for Comparing Learning Algorithms
Harshay Shah, Sung Min Park, Andrew Ilyas +1
cs.LGcs.CVstat.MLarXiv:2211.12491v12022
Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization
Digvijay Boob, Qi Deng, Guanghui Lan
math.OCcs.LGarXiv:1908.02734v42019
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Duolikun Danier, Fan Zhang, David Bull
eess.IVcs.CVarXiv:2303.09508v32023
Automatic Anomaly Detection in the Cloud Via Statistical Learning
Jordan Hochenbaum, Owen S. Vallis, Arun Kejariwal
cs.LGarXiv:1704.07706v12017
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones +5
cs.CLcs.AIcs.LGarXiv:2309.15098v22023
Vid2World: Crafting Video Diffusion Models to Interactive World Models
Siqiao Huang, Jialong Wu, Qixing Zhou +2
cs.CVcs.LGarXiv:2505.14357v32025
Four Ways to Forge a Bundle My Own Verifier Calls Clean: Refusal-Site Mutation Testing of an Evidence-Bundle Verifier
Erik Hill
cs.SEcs.CRarXiv:2608.26183v12026
Fixed-Time Stable Gradient Flows: Applications to Continuous-Time Optimization
Kunal Garg, Dimitra Panagou
math.OCarXiv:1808.10474v52018
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge
Michel Valstar, Jonathan Gratch, Bjorn Schuller +7
cs.CVcs.HCcs.MMarXiv:1605.01600v42016
LoMo: Local Modality Substitution for Deeper Vision-Language Fusion
Feng Han, Zhixiong Zhang, Zheming Liang +2
cs.CVcs.CLarXiv:2605.30265v12026
Interference Alignment Under Limited Feedback for MIMO Interference Channels
Rajesh T Krishnamachari, Mahesh K Varanasi
cs.ITarXiv:0911.5509v12009
Machine Translation for Sign Languages
Ozge Mercanoglu Sincan, Anton Pelykh, Edward Fish +7
cs.CVarXiv:2610.00881v12026
Good Features to Correlate for Visual Tracking
Erhan Gundogdu, A. Aydin Alatan
cs.CVarXiv:1704.06326v22017
SafeArena: Evaluating the Safety of Autonomous Web Agents
Ada Defne Tur, Nicholas Meade, Xing Han Lù +6
cs.LGcs.AIcs.CLarXiv:2503.04957v12025
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
Kuei-Chun Kao, Daixuan Huo, Yuanhao Ban +1
cs.AIcs.CVcs.LGarXiv:2605.17602v22026
PINNeik: Eikonal solution using physics-informed neural networks
Umair bin Waheed, Ehsan Haghighat, Tariq Alkhalifah +2
physics.comp-phmath-pharXiv:2007.08330v22020
A Randomized $\frac32$-Approximation for Strategic Facility Location on a Circle
Hau Chan, Jianan Lin, Chenhao Wang
cs.GTarXiv:2609.12792v22026
Mathematical Foundations for a Compositional Distributional Model of Meaning
Bob Coecke, Mehrnoosh Sadrzadeh, Stephen Clark
cs.CLcs.LOmath.CTarXiv:1003.4394v12010
Wasserstein-2 Generative Networks
Alexander Korotin, Vage Egiazarian, Arip Asadulaev +2
cs.LGcs.CVstat.MLarXiv:1909.13082v42019
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
Yansong Gao, Minki Kim, Sharif Abuadbba +6
cs.CRcs.DCcs.LGarXiv:2003.13376v22020
Perceptually Regularized Diffusion Model for Image Super-Resolution
Chuxiangbo Wang, Pavithra Venkatachalapathy, Ying Liang +4
eess.IVcs.CVcs.LGarXiv:2609.02016v12026
SatBleed: Security of Commoditized Communication Modules in Satellites
Ulysse Planta, Julian Rederlechner, Martin Strohmeier +2
cs.CRarXiv:2610.06258v12026
Video-As-Prompt: Unified Semantic Control for Video Generation
Yuxuan Bian, Xin Chen, Zenan Li +4
cs.CVcs.AIarXiv:2510.20888v12025

Every paper with a summary

Imposing Hard Constraints on Deep Networks: Promises and Limitations

Data Poisoning Attacks Against Federated Learning Systems

LAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing

Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems

Jina-OCR-v1: Efficient Document Parsing with Speculative Decoding and Dense Verifiable Rewards

On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance

Differentially Private Model Publishing for Deep Learning

Colored Noise Diffusion Sampling

Does Inference Scaling Improve Reasoning Faithfulness? A Multi-Model Analysis of Self-Consistency Tradeoffs

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time

Hate Speech Classification In Roman Urdu: A Comparative Study On Parameter Efficient Fine-Tuning And Prompt Engineering

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance

TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning

Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation

When the Curious Abandon Honesty: Federated Learning Is Not Private

The Surprising Effectiveness of Approximate Value Iteration in Self-Play

Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval

Physical Layer Security for Massive MIMO: An Overview on Passive Eavesdropping and Active Attacks

Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces

Invocation-Level Reliability of Tool-Using Agents

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

OneLOop: for the evaluation of one-loop scalar functions

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks

Parallax: Parameterized Local Linear Attention for Language Modeling

Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction

Fully Sparse 3D Object Detection

Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation

dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra

Dealing with Stochastic Volatility in Time Series Using the R Package stochvol

NoisEasier: Test-Time Noise Optimization for Text-to-Video Generation

CosmoSIS: modular cosmological parameter estimation

Developing ChemDFM as a large language foundation model for chemistry

AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection

ModelDiff: A Framework for Comparing Learning Algorithms

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization

LDMVFI: Video Frame Interpolation with Latent Diffusion Models

Automatic Anomaly Detection in the Cloud Via Statistical Learning

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models

Vid2World: Crafting Video Diffusion Models to Interactive World Models

Four Ways to Forge a Bundle My Own Verifier Calls Clean: Refusal-Site Mutation Testing of an Evidence-Bundle Verifier

Fixed-Time Stable Gradient Flows: Applications to Continuous-Time Optimization

AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

LoMo: Local Modality Substitution for Deeper Vision-Language Fusion

Interference Alignment Under Limited Feedback for MIMO Interference Channels

Machine Translation for Sign Languages

Good Features to Correlate for Visual Tracking

SafeArena: Evaluating the Safety of Autonomous Web Agents

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment

PINNeik: Eikonal solution using physics-informed neural networks

A Randomized $\frac32$-Approximation for Strategic Facility Location on a Circle

Mathematical Foundations for a Compositional Distributional Model of Meaning

Wasserstein-2 Generative Networks

End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Perceptually Regularized Diffusion Model for Image Super-Resolution

SatBleed: Security of Commoditized Communication Modules in Satellites

Video-As-Prompt: Unified Semantic Control for Video Generation