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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17,641 to 17,700 of 119,442

A path-following framework on fiber bundle for variational inequalities
Hongbo Sun
math.OCarXiv:2606.00778v32026
Can Open-Weight Large Language Models (LLMs) Simulate Human Survey Populations? A Cross-Instrument Calibration Study
Grandee Lee, Wang Yue
cs.AIarXiv:2609.32638v12026
A Parallel Multi-Dialect Arabic Dependency Treebank
Noor Abo Mokh, Mohamed Adel, Jamila El-Gizuli +3
cs.CLarXiv:2610.28823v12026
DuoLM: Fast and Effective Personalized Recommendation with Language Models
Jiang Wu, Yutong Song, Hongbo Wang +2
cs.IRarXiv:2610.24481v22026
SWE-MILE: Asynchronous Potential-Induced Milestone Credit Assignment for Long-Horizon Software Engineering Agents
Chaoqun Cui, Hao Zhou, Meiqi Chen +2
cs.AIcs.SEarXiv:2609.32631v12026
EMIR$^2$: Evolution-Aware Memory with Intent-Guided Multi-Round Retrieval
Jinlan Liu, Hongliang Sun, Yong Wang +4
cs.AIarXiv:2609.32584v12026
Lightweight Image Super-Resolution with Adaptive Weighted Learning Network
Chaofeng Wang, Zheng Li, Jun Shi
cs.CVarXiv:1904.02358v12019
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
Siyuan Yang, Jun Liu, Shijian Lu +2
cs.CVarXiv:2108.01959v32021
Artificial intelligences and human scientists exhibit complementary strengths in theory building
Ke Li, Spyros I. Zoumpoulis, Phanish Puranam +80
cs.AIcs.CYcs.HCarXiv:2609.32562v12026
Completion Delay Minimization for Instantly Decodable Network Codes
Sameh Sorour, Shahrokh Valaee
cs.NIcs.ITmath.ITarXiv:1201.4768v12012
Online Learning with Inexact Proximal Online Gradient Descent Algorithms
Rishabh Dixit, Amrit Singh Bedi, Ruchi Tripathi +1
math.OCarXiv:1806.00202v12018
DualHeads: Reward-tilted few-step diffusion made simple
Yuanzhi Zhu, Eleftherios Tsonis, Simo Alami Chehboune +3
cs.CVcs.AIcs.LGarXiv:2610.28858v12026
Benchmarking the Quantum Leap: Auditing LLM Evaluation for Quantum Code Generation
Ethan Seefried, Romit Ghosh, Sharmin Afrose +4
cs.SEquant-pharXiv:2610.28678v12026
Methodological Harness in Agentic Software Engineering: An Empirical Study on Mining Software Repositories
Jessica Díaz, Jorge Pérez, Sergio Gil-Borrás
cs.SEarXiv:2609.32014v12026
Single Stage Virtual Try-on via Deformable Attention Flows
Shuai Bai, Huiling Zhou, Zhikang Li +2
cs.CVarXiv:2207.09161v12022
Machine-learned spectral PDE solvers for fluids and plasmas
Mellow Baixuan Chen, Alan A. Kaptanoglu
physics.comp-phcs.LGphysics.plasm-pharXiv:2610.27317v12026
CUE-Mem: Benchmarking Long-Term User Memory via Implicit Cues in Multimodal Conversations
Yulin Hu, Yanyan Zhao, Zimo Long +6
cs.AIcs.CLarXiv:2609.32574v12026
ProTTT: Learning to Learn Semantic User Memory with Test-Time Training
Sejun Park, Hyoungjo Bhang, Hyein Jeong +1
cs.AIarXiv:2609.32564v12026
RecastVLA: From Past Interaction to Future Control with Adaptive Policy States
Wenbo Li, Jun Yang, Yiteng Chen +2
cs.ROarXiv:2609.32155v12026
qGAMMA: A Framework for Optimal DNN Mapping on Multi-Precision Accelerators
Leandro Fiorin, Luigi Altamura, Cristina Silvano
cs.ARcs.AIarXiv:2610.23222v12026
On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models
Leon Sick, Lukas Hoyer, Yannick Strümpler +3
cs.CLcs.AIcs.LGarXiv:2610.32770v12026
The Transformer Network for the Traveling Salesman Problem
Xavier Bresson, Thomas Laurent
cs.LGarXiv:2103.03012v12021
HilbertGen-3D:Hilbert--Multifractal Conditioning for Topology-Aware 3D Generation
Ziyi Zhang, Shixuan Li, Yorie Nakahira +2
cs.CVarXiv:2610.22720v12026
Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts
Andrei Cristian Popescu, Haitz Sáez de Ocáriz Borde, Pietro Liò
cs.LGarXiv:2607.20519v12026
Temporal Adaptive RGBT Tracking with Modality Prompt
Hongyu Wang, Xiaotao Liu, Yifan Li +3
cs.CVarXiv:2401.01244v12024
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
Guihong Li, Yuedong Yang, Kartikeya Bhardwaj +1
cs.LGarXiv:2301.11300v32023
Interdependent networks: Reducing the coupling strength leads to a change from a first to second order percolation transition
Roni Parshani, Sergey V. Buldyrev, Shlomo Havlin
physics.data-ancond-mat.dis-nnphysics.soc-pharXiv:1004.3989v12010
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
Weilin Cong, Rana Forsati, Mahmut Kandemir +1
cs.LGstat.MLarXiv:2006.13866v22020
Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers
Ying Fan, Anej Svete, Kangwook Lee
cs.LGcs.CLarXiv:2606.31779v22026
NEWTON: Agentic Planning for Physically Grounded Video Generation
Yuxiang Feng, Juncheng Wang, Chao Xu +7
cs.CVarXiv:2605.18396v22026
LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
Fangzhou Hong, Hui Zhou, Xinge Zhu +2
cs.CVarXiv:2011.11964v22020
Signed Wasserstein distance for room impulse response comparison
Linda Fabiani, Sebastian J. Schlecht, Filip Elvander
eess.ASarXiv:2610.31596v12026
Identifying Statistical Bias in Dataset Replication
Logan Engstrom, Andrew Ilyas, Shibani Santurkar +3
stat.MLcs.CVcs.LGarXiv:2005.09619v22020
Stochastic Training of Graph Convolutional Networks with Variance Reduction
Jianfei Chen, Jun Zhu, Le Song
stat.MLcs.LGarXiv:1710.10568v32017
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li +2
cs.LGcs.CVcs.GRarXiv:1808.02651v22018
Next Token or Vector? Learning How Far to Decode
Sai Sreenivas Chintha, Chidera Biringa, Rishab Sharma +6
cs.LGcs.AIcs.ETarXiv:2610.22788v12026
SR-ANM: A Square-Root Atomic Norm Minimization Estimator for Noise-Robust Direction-of-Arrival Estimation
Youval Klioui
eess.SParXiv:2610.31509v12026
The condensation phase transition in random graph coloring
Victor Bapst, Amin Coja-Oghlan, Samuel Hetterich +2
cs.DMmath.COmath.PRarXiv:1404.5513v12014
Chasing the k-colorability threshold
Amin Coja-Oghlan, Dan Vilenchik
cs.DMmath.COarXiv:1304.1063v32013
S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA
Minghan Li, Junjie Zou, Xinxuan Lv +2
cs.IRcs.AIarXiv:2604.23783v12026
Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction
Junuk Cha, Jihyeon Kim, Jae Shin Yoon +1
cs.CVarXiv:2404.00562v22024
On the Structure of Quantum Finite-Level Systems: Decoherence-Free Subsystems, Quantum Nondemolition Variables, and Back-Action-Evading Measurements
Jia Gu, Guofeng Zhang, Ian R. Petersen
quant-phcs.SYeess.SYarXiv:2610.30616v12026
MeshAdv: Adversarial Meshes for Visual Recognition
Chaowei Xiao, Dawei Yang, Bo Li +2
cs.CRcs.CVcs.LGarXiv:1810.05206v22018
Agent Skills Can Be Harmful: An Empirical Study of Skill-Induced Failures in LLM Agents
Gen Dong, Yanjie Gao, Liqun Li +3
cs.AIarXiv:2608.11888v12026
Text Segmentation by Cross Segment Attention
Michal Lukasik, Boris Dadachev, Gonçalo Simões +1
cs.CLarXiv:2004.14535v22020
Learning Fair Node Representations with Graph Counterfactual Fairness
Jing Ma, Ruocheng Guo, Mengting Wan +3
cs.LGcs.AIarXiv:2201.03662v12022
Scalable Attack on Graph Data by Injecting Vicious Nodes
Jihong Wang, Minnan Luo, Fnu Suya +3
cs.CRcs.LGarXiv:2004.13825v12020
A second-order linear decoupled scheme with a relaxed zero-energy variable for Rayleigh-B\'enard convection
Matthew McCurdy
physics.flu-dyncs.NAmath.NAarXiv:2610.31364v12026
Learned smoothing in operator-adapted multigrid: controlled accuracy gains and computational limits
Kumar Kaushik Ranjan
math.NAcs.NAarXiv:2610.30692v12026
LLMAdBench: A Human Preference Benchmark for Advertising in LLM Responses
Rui Ai, Yuqing Liu, Sitao Qiu +14
cs.AIarXiv:2609.32533v12026
Single Node Injection Attack against Graph Neural Networks
Shuchang Tao, Qi Cao, Huawei Shen +3
cs.LGcs.CRarXiv:2108.13049v22021
A framework for the extraction of Deep Neural Networks by leveraging public data
Soham Pal, Yash Gupta, Aditya Shukla +3
cs.LGcs.AIcs.CRarXiv:1905.09165v12019
Interpretable Physics Informed WiFi Indoor Localization: Learning an Effective Access Point Geometry and Using It to Prune
Arshia Eftekhari zadeh, Rezvan Nasiri, Hadi Moradi
cs.AIcs.LGarXiv:2609.32539v12026
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
Hanqing Wang, Yixia Li, Shuo Wang +2
cs.CLarXiv:2406.09044v32024
Fairness-Aware Node Representation Learning
Öykü Deniz Köse, Yanning Shen
cs.LGarXiv:2106.05391v12021
DeBayes: a Bayesian Method for Debiasing Network Embeddings
Maarten Buyl, Tijl De Bie
cs.LGstat.MLarXiv:2002.11442v32020
Fail Loudly: An Auditable Runtime for Agentic Data Analysis
Hanxu Yan, Langxuan Deng, Zhengle Wang +2
cs.AIarXiv:2609.32528v12026
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Enyan Dai, Limeng Cui, Zhengyang Wang +5
cs.LGcs.AIcs.CRarXiv:2306.08604v12023
GraphMI: Extracting Private Graph Data from Graph Neural Networks
Zaixi Zhang, Qi Liu, Zhenya Huang +4
cs.LGcs.AIarXiv:2106.02820v12021
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong, Song Wang, Jing Ma +2
cs.LGcs.CYarXiv:2211.14383v12022

Every paper with a summary

A path-following framework on fiber bundle for variational inequalities

Can Open-Weight Large Language Models (LLMs) Simulate Human Survey Populations? A Cross-Instrument Calibration Study

A Parallel Multi-Dialect Arabic Dependency Treebank

DuoLM: Fast and Effective Personalized Recommendation with Language Models

SWE-MILE: Asynchronous Potential-Induced Milestone Credit Assignment for Long-Horizon Software Engineering Agents

EMIR$^2$: Evolution-Aware Memory with Intent-Guided Multi-Round Retrieval

Lightweight Image Super-Resolution with Adaptive Weighted Learning Network

Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning

Artificial intelligences and human scientists exhibit complementary strengths in theory building

Completion Delay Minimization for Instantly Decodable Network Codes

Online Learning with Inexact Proximal Online Gradient Descent Algorithms

DualHeads: Reward-tilted few-step diffusion made simple

Benchmarking the Quantum Leap: Auditing LLM Evaluation for Quantum Code Generation

Methodological Harness in Agentic Software Engineering: An Empirical Study on Mining Software Repositories

Single Stage Virtual Try-on via Deformable Attention Flows

Machine-learned spectral PDE solvers for fluids and plasmas

CUE-Mem: Benchmarking Long-Term User Memory via Implicit Cues in Multimodal Conversations

ProTTT: Learning to Learn Semantic User Memory with Test-Time Training

RecastVLA: From Past Interaction to Future Control with Adaptive Policy States

qGAMMA: A Framework for Optimal DNN Mapping on Multi-Precision Accelerators

On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models

The Transformer Network for the Traveling Salesman Problem

HilbertGen-3D:Hilbert--Multifractal Conditioning for Topology-Aware 3D Generation

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts

Temporal Adaptive RGBT Tracking with Modality Prompt

ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients

Interdependent networks: Reducing the coupling strength leads to a change from a first to second order percolation transition

Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks

Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers

NEWTON: Agentic Planning for Physically Grounded Video Generation

LiDAR-based Panoptic Segmentation via Dynamic Shifting Network

Signed Wasserstein distance for room impulse response comparison

Identifying Statistical Bias in Dataset Replication

Stochastic Training of Graph Convolutional Networks with Variance Reduction

Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer

Next Token or Vector? Learning How Far to Decode

SR-ANM: A Square-Root Atomic Norm Minimization Estimator for Noise-Robust Direction-of-Arrival Estimation

The condensation phase transition in random graph coloring

Chasing the k-colorability threshold

S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA

Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction

On the Structure of Quantum Finite-Level Systems: Decoherence-Free Subsystems, Quantum Nondemolition Variables, and Back-Action-Evading Measurements

MeshAdv: Adversarial Meshes for Visual Recognition

Agent Skills Can Be Harmful: An Empirical Study of Skill-Induced Failures in LLM Agents

Text Segmentation by Cross Segment Attention

Learning Fair Node Representations with Graph Counterfactual Fairness

Scalable Attack on Graph Data by Injecting Vicious Nodes

A second-order linear decoupled scheme with a relaxed zero-energy variable for Rayleigh-B\'enard convection

Learned smoothing in operator-adapted multigrid: controlled accuracy gains and computational limits

LLMAdBench: A Human Preference Benchmark for Advertising in LLM Responses

Single Node Injection Attack against Graph Neural Networks

A framework for the extraction of Deep Neural Networks by leveraging public data

Interpretable Physics Informed WiFi Indoor Localization: Learning an Effective Access Point Geometry and Using It to Prune

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Fairness-Aware Node Representation Learning

DeBayes: a Bayesian Method for Debiasing Network Embeddings

Fail Loudly: An Auditable Runtime for Agentic Data Analysis

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy

GraphMI: Extracting Private Graph Data from Graph Neural Networks

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution