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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23,581 to 23,640 of 119,963

Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
Christos Koutlis, Symeon Papadopoulos
cs.CVarXiv:2402.19091v22024
Treatment effect estimation with disentangled latent factors
Weijia Zhang, Lin Liu, Jiuyong Li
cs.LGstat.MLarXiv:2001.10652v32020
Agentic Music Post-Production
Jaywon Koo, Junghyun Koo, Marco A. Martinez-Ramirez +5
cs.SDcs.AIarXiv:2610.29093v12026
AgentVQA: A Unified Benchmark for Agentic Visual Understanding
Advait Gupta, Sachin Konan, Tom Yin +2
cs.CVarXiv:2610.31494v12026
Beyond Mean Foils: Auditing Worst-Foil Specificity in Frozen CLIP Region Explanations
Kaixin Liu, Zhipeng Ye, Feng Jiang +2
cs.CVarXiv:2609.27356v12026
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach
Amir Bennatan, Yoni Choukroun, Pavel Kisilev
cs.ITcs.LGcs.NEarXiv:1802.04741v12018
GaussPDE: Graph-Based Partial Differential Equation-Driven Rendering for 3D Gaussian Splatting
Haoyuan Yue, Fengyuan Ye, Ziyin Li
cs.CVarXiv:2609.27264v12026
Hybrid Gaussians for Robust Open-Vocabulary 3D Segmentation with Multi-View Object Association and Boundary Refinement
Xueqi Qiu, Yueming Sun, Tianyu Zhang +2
cs.CVarXiv:2609.27462v12026
ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code
Xiangru Tang, Yuliang Liu, Zefan Cai +21
cs.CLcs.AIarXiv:2311.09835v52023
Deep Search in Real-World Web Environments
Xiaomin Yu, Hongliang Chen, Zhe Huang +22
cs.IRcs.MMcs.SEarXiv:2610.30181v12026
Optimized Compressor Parameterization for Produced Music in Hearing Aids
Robin Holland, Christoph Hoog Antink, Henning Puder
eess.ASarXiv:2610.29613v12026
Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation
Yi-Hui Shen, Tie-Qiang Li
cs.CVcs.AIarXiv:2609.27217v12026
Nonequilibrium Phases of Repulsive Self-Attention: Chaos, Attention Condensation, and Emergent Locality
Qucheng Gao, Zuyi Yang, Xiao Chen
cond-mat.dis-nncond-mat.stat-mechcs.LGarXiv:2609.28448v12026
Decoupling Value and Policy for Generalization in Reinforcement Learning
Roberta Raileanu, Rob Fergus
cs.LGcs.AIarXiv:2102.10330v22021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Alexander Korotin, Lingxiao Li, Aude Genevay +3
cs.LGarXiv:2106.01954v22021
Inherited, Not Invented: Tracing the Provenance of Wait in Reasoning Models
Zhizhuo Kou, Sizai Hou, Long Chen +6
cs.LGcs.CLarXiv:2610.30882v12026
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents
Muhammad Monjurul Karim, Yu Li, Ruwen Qin +1
cs.CVcs.AIarXiv:2106.10197v22021
TARSphere: A Robot-Oriented Full-Stack Framework for Long-Horizon Embodied Agents in Evolving Physical and Social Environments
Yicheng Xu, Zhikai Xu, Ziyuan Chen +5
cs.ROarXiv:2610.30043v12026
Non-Commutative State Tracking with Input-Dependent Low-Rank Updates in Mamba-3
Hiroki Fujii, Masaki Yamakita
eess.SYcs.LGcs.SYarXiv:2609.28273v22026
Diverse by Design: Architectural Constraints for Prototype-Based Interpretability
Xinmiao Lin, Matthew Wright
cs.CVarXiv:2609.27194v12026
Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited
Omar Darwiche Domingues, Pierre Ménard, Emilie Kaufmann +1
cs.LGstat.MLarXiv:2010.03531v12020
Local Geometric Mixing via Dobrushin Contraction with Applications to Diffusion Path Monte Carlo and the Proximal Sampler
Stefan Oberdörster
math.PRcs.LGstat.COarXiv:2609.28338v12026
Is Complex Agentic Memory Always Needed? Naive RAG Is Stronger Than We Thought
Zhengye Bao, Shengtao Zhang, Haokai Zhang +3
cs.AIarXiv:2610.30755v12026
BRIDGE: An Acceptance Gate to Block False Improvements in Model Updates, with a Retrospective Clinical Evaluation
Dwi Sunaryono
cs.LGstat.MLarXiv:2610.29515v12026
Relational Geometry Forcing for World Action Models
Yuan Xu, Yixiang Chen, Qisen Ma +10
cs.ROarXiv:2610.29282v12026
NPBoost: Neural Processes with Gradient-Boosted Fixed Effects
Andrea Nava, Ken Rölli, Armin Begic +1
stat.MLcs.LGarXiv:2609.28122v12026
FedIncome: Federated Learning for Income Estimation in Digital Lending Under Data Sovereignty Constraints
Sultan Amed, Tanmay Sen, Sayantan Banerjee
stat.MLcs.LGq-fin.STarXiv:2609.27654v12026
M3D-Net: Hierarchical Coordination of Spatial Context, Feature Reuse, and Differential Attention for Mammography Classification
Zheng Yu, Xinhang Li, Jiabao Gao +2
cs.CVcs.LGarXiv:2609.27523v12026
Rethinking Sequence Compression with Test-time Regression
Sihan Yang, Jie Huang, Hanxuan Li +4
cs.LGarXiv:2610.31574v12026
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
Ashok Cutkosky, Harsh Mehta
cs.LGmath.OCstat.MLarXiv:2106.14343v22021
MolDesignBench: Evaluating LLM-based Agent for Scenario-grounded Molecular Design
Yongjun Jeong, Hanbum Ko, Ye Rin Kim +6
cs.AIcs.LGarXiv:2609.27349v12026
DeepPrivacy2: Towards Realistic Full-Body Anonymization
Håkon Hukkelås, Frank Lindseth
cs.CVarXiv:2211.09454v12022
How Sensitive Are LLM Leaderboard Claims to Hidden Model Selection?
Chen Yang, Jun Chen
stat.MLcs.LGarXiv:2609.28177v22026
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
Yiping Ma, Jess Woods, Sebastian Angel +2
cs.CRcs.LGarXiv:2308.09883v42023
Collective Entity Alignment via Adaptive Features
Weixin Zeng, Xiang Zhao, Jiuyang Tang +1
cs.AIcs.CLcs.LGarXiv:1912.08404v32019
Twisted Reed-Solomon Codes
Peter Beelen, Sven Puchinger, Johan Rosenkilde né Nielsen
cs.ITmath.ITarXiv:1701.01295v22017
Even Sharper Bounds for Transductive Learning and Its Applications
Yingzhen Yang
cs.LGcs.ITmath.ITarXiv:2609.28459v22026
FairTest: Search-Based Fairness Testing for Multi-Agent Reinforcement Learning Systems
Xiaotong Wang, Xuan Xie
cs.SEcs.LGarXiv:2609.27309v12026
Beyond the Illusion of Power: Calibrating Quasi-Experiments in Observational IS
Spandan Ghose Chowdhury
stat.MEcs.AIcs.LGarXiv:2609.27299v12026
Density-Level Backward Error for Low-NFE Generative Flows
Ewsey Obzherin, Valentin Khrulkov
cs.LGcs.NAmath.NAarXiv:2610.29475v12026
Accept or Repair: Preserving Passage-Supported Answers in Contrastive Decoding
Jungseob Lee, Seungyoon Lee, Hyeonseok Moon +6
cs.CLarXiv:2610.29727v12026
A Hybrid Iterative Deep Ritz Method for Elliptic Interface Problems
Tianhao Hu, Bangti Jin, Fengru Wang +1
math.NAcs.LGcs.NAarXiv:2609.27325v12026
Policy-Mask: Budget-Aware Adaptation of Diffusion Features to Discriminative Tasks
Ivan Listopadov, Maksim Nakhodnov, Aibek Alanov
cs.CVarXiv:2610.28889v12026
Skeleton-Grounded Latent Action Model for Robot World Models
Qi Lv, Jiayi Lin, Yuxin Jiang +3
cs.ROarXiv:2610.31474v12026
SCOPE: Compiling Natural-Language Policies into Neurosymbolic Predicate Programs
Arnon Mazza, Elad Levi
cs.AIcs.CLarXiv:2610.31062v12026
Multitask Regression with Pairwise Fusion
Xiaodong Li, Zhentao Li
stat.MLcs.LGarXiv:2609.27280v12026
Generalized Few-shot Semantic Segmentation
Zhuotao Tian, Xin Lai, Li Jiang +4
cs.CVarXiv:2010.05210v42020
A general framework for inference on algorithm-agnostic variable importance
Brian D. Williamson, Peter B. Gilbert, Noah R. Simon +1
stat.MEmath.STstat.MLarXiv:2004.03683v22020
Peregrine: A Pattern-Aware Graph Mining System
Kasra Jamshidi, Rakesh Mahadasa, Keval Vora
cs.DCcs.DBarXiv:2004.02369v12020
Fast Inference of Mixture-of-Experts Language Models with Offloading
Artyom Eliseev, Denis Mazur
cs.LGcs.AIcs.DCarXiv:2312.17238v12023
PISCES: Physics-Informed Solar-wind Convolutional autoEncoder for Space-weather Anomaly Detection and Early Warning
Kevin Lee, Alison J. March
cs.LGastro-ph.SRcs.AIarXiv:2609.28022v12026
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
Rajeev Verma, Daniel Barrejón, Eric Nalisnick
stat.MLcs.LGarXiv:2210.16955v22022
Learning to Defer with Limited Expert Predictions
Patrick Hemmer, Lukas Thede, Michael Vössing +2
cs.LGcs.AIcs.HCarXiv:2304.07306v12023
Adversarially-trained autoencoders for robust unsupervised new physics searches
Andrew Blance, Michael Spannowsky, Philip Waite
hep-pharXiv:1905.10384v22019
Building Auditable AI Text Detectors with Sparse Autoencoders
Liam Dugan, Callum McDougall, Matthew Denton +3
cs.CLcs.AIarXiv:2610.30006v12026
Summaries:한국어
Context-Continuous Preference Learning for Exoskeleton Personalization
Sunin Baek, Sungwoo Park, Daekyum Kim
cs.LGcs.ROarXiv:2609.28427v12026
Understanding Target Probability Reuse in Speculative Decoding
Jungseob Lee, Giyoon Jang, Chailin Nam +6
cs.CLarXiv:2610.29210v12026
Learning Holographic Reduced Representations with Clifford Variational Autoencoders
Mohamed Malek Abid, P. Michael Furlong
cs.LGcs.AIcs.NEarXiv:2609.28409v12026
LLMSeg: Training-Free Text-Prompted Image Segmentation with B-Splines
Abdullah Hamdi
cs.CVcs.AIarXiv:2610.29409v12026
B-CARE: Blind Classwise Assessment of Relative Evidence for Stance Error Ranking
Meysam Sabbaghan, Doina Caragea
cs.CLarXiv:2610.29350v12026

Every paper with a summary

Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection

Treatment effect estimation with disentangled latent factors

Agentic Music Post-Production

AgentVQA: A Unified Benchmark for Agentic Visual Understanding

Beyond Mean Foils: Auditing Worst-Foil Specificity in Frozen CLIP Region Explanations

Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach

GaussPDE: Graph-Based Partial Differential Equation-Driven Rendering for 3D Gaussian Splatting

Hybrid Gaussians for Robust Open-Vocabulary 3D Segmentation with Multi-View Object Association and Boundary Refinement

ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

Deep Search in Real-World Web Environments

Optimized Compressor Parameterization for Produced Music in Hearing Aids

Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation

Nonequilibrium Phases of Repulsive Self-Attention: Chaos, Attention Condensation, and Emergent Locality

Decoupling Value and Policy for Generalization in Reinforcement Learning

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Inherited, Not Invented: Tracing the Provenance of Wait in Reasoning Models

A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents

TARSphere: A Robot-Oriented Full-Stack Framework for Long-Horizon Embodied Agents in Evolving Physical and Social Environments

Non-Commutative State Tracking with Input-Dependent Low-Rank Updates in Mamba-3

Diverse by Design: Architectural Constraints for Prototype-Based Interpretability

Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited

Local Geometric Mixing via Dobrushin Contraction with Applications to Diffusion Path Monte Carlo and the Proximal Sampler

Is Complex Agentic Memory Always Needed? Naive RAG Is Stronger Than We Thought

BRIDGE: An Acceptance Gate to Block False Improvements in Model Updates, with a Retrospective Clinical Evaluation

Relational Geometry Forcing for World Action Models

NPBoost: Neural Processes with Gradient-Boosted Fixed Effects

FedIncome: Federated Learning for Income Estimation in Digital Lending Under Data Sovereignty Constraints

M3D-Net: Hierarchical Coordination of Spatial Context, Feature Reuse, and Differential Attention for Mammography Classification

Rethinking Sequence Compression with Test-time Regression

High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails

MolDesignBench: Evaluating LLM-based Agent for Scenario-grounded Molecular Design

DeepPrivacy2: Towards Realistic Full-Body Anonymization

How Sensitive Are LLM Leaderboard Claims to Hidden Model Selection?

Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning

Collective Entity Alignment via Adaptive Features

Twisted Reed-Solomon Codes

Even Sharper Bounds for Transductive Learning and Its Applications

FairTest: Search-Based Fairness Testing for Multi-Agent Reinforcement Learning Systems

Beyond the Illusion of Power: Calibrating Quasi-Experiments in Observational IS

Density-Level Backward Error for Low-NFE Generative Flows

Accept or Repair: Preserving Passage-Supported Answers in Contrastive Decoding

A Hybrid Iterative Deep Ritz Method for Elliptic Interface Problems

Policy-Mask: Budget-Aware Adaptation of Diffusion Features to Discriminative Tasks

Skeleton-Grounded Latent Action Model for Robot World Models

SCOPE: Compiling Natural-Language Policies into Neurosymbolic Predicate Programs

Multitask Regression with Pairwise Fusion

Generalized Few-shot Semantic Segmentation

A general framework for inference on algorithm-agnostic variable importance

Peregrine: A Pattern-Aware Graph Mining System

Fast Inference of Mixture-of-Experts Language Models with Offloading

PISCES: Physics-Informed Solar-wind Convolutional autoEncoder for Space-weather Anomaly Detection and Early Warning

Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles

Learning to Defer with Limited Expert Predictions

Adversarially-trained autoencoders for robust unsupervised new physics searches

Building Auditable AI Text Detectors with Sparse Autoencoders

Context-Continuous Preference Learning for Exoskeleton Personalization

Understanding Target Probability Reuse in Speculative Decoding

Learning Holographic Reduced Representations with Clifford Variational Autoencoders

LLMSeg: Training-Free Text-Prompted Image Segmentation with B-Splines

B-CARE: Blind Classwise Assessment of Relative Evidence for Stance Error Ranking