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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48,481 to 48,540 of 120,297

Follow the Mean: Reference-Guided Flow Matching
Pedro M. P. Curvo, Maksim Zhdanov, Floor Eijkelboom +1
cs.LGarXiv:2605.10302v32026
On the Performance of Uplink Pinching Antenna Systems (PASS)
Tianwei Hou, Yuanwei Liu, Arumugam Nallanathan
cs.ITmath.ITarXiv:2502.12365v12025
Modeling Coverage for Neural Machine Translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu +2
cs.CLarXiv:1601.04811v62016
Time as a limited resource: Communication Strategy in Mobile Phone Networks
Giovanna Miritello, Esteban Moro, Rubén Lara +3
physics.soc-phcs.SIphysics.data-anarXiv:1301.2464v12013
AI-based detection of worsening heart failure from low-resolution telemonitoring data
Erik Aerts, Yinan Yu, Annika Rosengren +5
cs.AIarXiv:2609.29742v12026
Few-Shot Class-Incremental Learning
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang +3
cs.CVcs.LGstat.MLarXiv:2004.10956v22020
Experimental analysis of data-driven control for a building heating system
Giuseppe Tommaso Costanzo, Sandro Iacovella, Frederik Ruelens +2
cs.AIarXiv:1507.03638v22015
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan +1
cs.CVarXiv:1903.05711v22019
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
cs.LGcs.CRstat.MLarXiv:2006.08265v22020
Score matching enables causal discovery of nonlinear additive noise models
Paul Rolland, Volkan Cevher, Matthäus Kleindessner +4
cs.LGstat.MLarXiv:2203.04413v12022
Randomized inexact block triangular preconditioners for double saddle-point systems in PDE-constrained optimization
Siqi Liang, Na Huang
math.NAarXiv:2609.01031v12026
Approximation Algorithms for Computing Maximin Share Allocations
Georgios Amanatidis, Evangelos Markakis, Afshin Nikzad +1
cs.GTarXiv:1503.00941v32015
Fun-ASR Technical Report
Keyu An, Yanni Chen, Zhigao Chen +35
cs.CLcs.AIcs.SDarXiv:2509.12508v42025
Toxicity Ahead: Forecasting Conversational Derailment on GitHub
Mia Mohammad Imran, Robert Zita, Rahat Rizvi Rahman +2
cs.SEcs.CYcs.HCarXiv:2512.15031v12025
Explaining Time Series Predictions with Dynamic Masks
Jonathan Crabbé, Mihaela van der Schaar
cs.LGcs.AIarXiv:2106.05303v12021
Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress
Gaurav Tewari
cs.AIarXiv:2609.15919v12026
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis
Muhammad Zubair, Muzammil Hussai, Mousa Ahmad Al-Bashrawi +2
eess.IVcs.CVarXiv:2505.14715v12025
AlphaRJM: Reward-Jump Memory for Stochastic Return-Guided Alpha Discovery
Sayan Dhan, Selvaraju Natarajan
cs.LGq-fin.CPstat.MLarXiv:2609.08581v12026
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
Yige Li, Hanxun Huang, Yunhan Zhao +2
cs.AIarXiv:2408.12798v22024
Expected free energy as an information constraint on the Bethe Lagrangian
Wouter M. Kouw
cs.ITcs.AIeess.SYarXiv:2608.17167v12026
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
Zeyu Hu, Mingmin Zhen, Xuyang Bai +2
cs.CVarXiv:2007.06888v12020
NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering
Loick Chambon, Paul Couairon, Eloi Zablocki +3
cs.CVarXiv:2511.18452v12025
A comprehensive review of Binary Neural Network
Chunyu Yuan, Sos S. Agaian
cs.NEcs.AIcs.CVarXiv:2110.06804v42021
A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani, Jiaming Song, Jan Kautz +1
cs.LGcs.CVmath.NAarXiv:2305.04391v22023
Modality Contribution Score - A Per-Patient Framework for Quantifying the Relative Diagnostic Contribution of Structural MRI and Amyloid PET in Alzheimer's Disease
Dawa Chyophel Lepcha, Aaliya Ali, Sophie A. Martin +3
eess.IVcs.AIcs.CVarXiv:2608.24931v12026
Quality Measures in Biometric Systems
Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia
cs.CVcs.CRarXiv:2111.08704v12021
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
Chaochao Yan, Jiawen Yao, Ruoyu Li +2
cs.CVarXiv:1807.06067v12018
Making Prospective Memory SLM-Shaped: Typed Intention Stores for Small-Model Agents
Jinqing Zhao, Chengcan Wu
cs.AIarXiv:2609.01272v12026
ReasonIR: Training Retrievers for Reasoning Tasks
Rulin Shao, Rui Qiao, Varsha Kishore +8
cs.AIcs.CLcs.IRarXiv:2504.20595v12025
Assessing Time-Varying Causal Effect Moderation in Mobile Health
Audrey Boruvka, Daniel Almirall, Katie Witkiewitz +1
stat.MEarXiv:1601.00237v32016
On the Limits of Layer Pruning for Generative Reasoning in Large Language Models
Safal Shrestha, Anubhav Shrestha, Aadim Nepal +2
cs.LGcs.AIarXiv:2602.01997v42026
The spectrum of kernel random matrices
Noureddine El Karoui
math.STstat.THarXiv:1001.0492v12010
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Fengli Xu, Qianyue Hao, Zefang Zong +17
cs.AIcs.CLarXiv:2501.09686v32025
BPMN Assistant: An LLM-Based Approach to Business Process Modeling
Josip Tomo Licardo, Nikola Tankovic, Darko Etinger
cs.AIcs.SEarXiv:2509.24592v22025
Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting
Zheng Zhang, Wenbo Hu, Yixing Lao +2
cs.CVarXiv:2403.15530v12024
Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions
Zhe Liu, Chunyang Chen, Junjie Wang +5
cs.SEarXiv:2310.15780v12023
VisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMs
Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +1
cs.CVcs.LGarXiv:2608.30480v12026
MA-WAM: Multi-Agent World-Action Model for Test-Time Planning
Guowei Zou, Haitao Wang, Guoxin Wang +4
cs.AIarXiv:2609.31281v12026
Dual Process Motion Planning
Jiayi Yan, Francesco Fabiano, Alessandro Abate
cs.AIcs.ROarXiv:2609.01260v12026
MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives
Tingwu Wang, Olivier Dionne, Michael De Ruyter +13
cs.ROcs.AIcs.GRarXiv:2604.24833v12026
Random Quantum LDPC Codes Approaching the Gilbert-Varshamov Bound
Tushant Mittal, Shashank Srivastava, Madhur Tulsiani +1
cs.ITmath.ITquant-pharXiv:2610.02648v12026
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
Yutong Chen, Fangyun Wei, Xiao Sun +2
cs.CVarXiv:2203.04287v22022
Preference Learning Algorithms Do Not Learn Preference Rankings
Angelica Chen, Sadhika Malladi, Lily H. Zhang +4
cs.LGcs.AIcs.CLarXiv:2405.19534v42024
Nous: Learning and Certifying Memory Decisions Before Source Calibration
Pranav Singh
cs.LGcs.AIarXiv:2610.00094v22026
Protein structure generation via folding diffusion
Kevin E. Wu, Kevin K. Yang, Rianne van den Berg +3
q-bio.BMcs.AIarXiv:2209.15611v22022
Beyond a Single Story: Meta-Reviewing Sparse and Incomplete User-generated Contents for Recommendation
Hongren Wang, Tianjun Wei, Yingpeng Du +2
cs.IRarXiv:2608.26728v12026
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
Lenaic Chizat, Pierre Roussillon, Flavien Léger +2
math.OCmath.STstat.MLarXiv:2006.08172v22020
Learning to Optimize Tensor Programs
Tianqi Chen, Lianmin Zheng, Eddie Yan +5
cs.LGstat.MLarXiv:1805.08166v42018
Robust Kalman Filtering under Model Perturbations
Mattia Zorzi
math.OCarXiv:1508.01906v32015
CLES, Code Liegeois d'Evolution Stellaire
R. Scuflaire, S. Theado, J. Montalban +5
astro-pharXiv:0712.3471v12007
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner
Eugene Lee, Evan Chen, Chen-Yi Lee
cs.CVeess.IVarXiv:2007.06786v12020
Image Labeling on a Network: Using Social-Network Metadata for Image Classification
Julian McAuley, Jure Leskovec
cs.CVcs.SIphysics.soc-pharXiv:1207.3809v12012
Analyzing Leakage of Personally Identifiable Information in Language Models
Nils Lukas, Ahmed Salem, Robert Sim +3
cs.LGarXiv:2302.00539v42023
Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang +4
cs.LGcs.AIcs.DCarXiv:2312.15234v22023
Matryoshka Gaussian Splatting
Zhilin Guo, Boqiao Zhang, Hakan Aktas +11
cs.CVcs.GRarXiv:2603.19234v22026
Self-Speculation for Faster Reasoning Models
Ravisri Valluri, Tung Nguyen, Aditya Grover
cs.CLarXiv:2608.20359v12026
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal, Ashvin Nair, Pieter Abbeel +2
cs.CVcs.AIcs.ROarXiv:1606.07419v22016
Computational barriers in minimax submatrix detection
Zongming Ma, Yihong Wu
math.STcs.ITarXiv:1309.5914v42013
Latent Visual Reasoning
Bangzheng Li, Ximeng Sun, Jiang Liu +7
cs.CVcs.CLarXiv:2509.24251v22025
Sum Rate Maximization for IRS-assisted Uplink NOMA
M. Zeng, X. Li, G. Li +2
cs.ITeess.SParXiv:2004.10791v12020

Every paper with a summary

Follow the Mean: Reference-Guided Flow Matching

On the Performance of Uplink Pinching Antenna Systems (PASS)

Modeling Coverage for Neural Machine Translation

Time as a limited resource: Communication Strategy in Mobile Phone Networks

AI-based detection of worsening heart failure from low-resolution telemonitoring data

Few-Shot Class-Incremental Learning

Experimental analysis of data-driven control for a building heating system

PointNetLK: Robust & Efficient Point Cloud Registration using PointNet

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

Score matching enables causal discovery of nonlinear additive noise models

Randomized inexact block triangular preconditioners for double saddle-point systems in PDE-constrained optimization

Approximation Algorithms for Computing Maximin Share Allocations

Fun-ASR Technical Report

Toxicity Ahead: Forecasting Conversational Derailment on GitHub

Explaining Time Series Predictions with Dynamic Masks

Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress

A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis

AlphaRJM: Reward-Jump Memory for Stochastic Return-Guided Alpha Discovery

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Expected free energy as an information constraint on the Bethe Lagrangian

JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering

A comprehensive review of Binary Neural Network

A Variational Perspective on Solving Inverse Problems with Diffusion Models

Modality Contribution Score - A Per-Patient Framework for Quantifying the Relative Diagnostic Contribution of Structural MRI and Amyloid PET in Alzheimer's Disease

Quality Measures in Biometric Systems

Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays

Making Prospective Memory SLM-Shaped: Typed Intention Stores for Small-Model Agents

ReasonIR: Training Retrievers for Reasoning Tasks

Assessing Time-Varying Causal Effect Moderation in Mobile Health

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models

The spectrum of kernel random matrices

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

BPMN Assistant: An LLM-Based Approach to Business Process Modeling

Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting

Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions

VisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMs

MA-WAM: Multi-Agent World-Action Model for Test-Time Planning

Dual Process Motion Planning

MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives

Random Quantum LDPC Codes Approaching the Gilbert-Varshamov Bound

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

Preference Learning Algorithms Do Not Learn Preference Rankings

Nous: Learning and Certifying Memory Decisions Before Source Calibration

Protein structure generation via folding diffusion

Beyond a Single Story: Meta-Reviewing Sparse and Incomplete User-generated Contents for Recommendation

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence

Learning to Optimize Tensor Programs

Robust Kalman Filtering under Model Perturbations

CLES, Code Liegeois d'Evolution Stellaire

Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner

Image Labeling on a Network: Using Social-Network Metadata for Image Classification

Analyzing Leakage of Personally Identifiable Information in Language Models

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Matryoshka Gaussian Splatting

Self-Speculation for Faster Reasoning Models

Learning to Poke by Poking: Experiential Learning of Intuitive Physics

Computational barriers in minimax submatrix detection

Latent Visual Reasoning

Sum Rate Maximization for IRS-assisted Uplink NOMA