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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84,601 to 84,660 of 104,082

If players are sparse social dilemmas are too: Importance of percolation for evolution of cooperation
Zhen Wang, Attila Szolnoki, Matjaz Perc
physics.soc-phcond-mat.stat-mechq-bio.PEarXiv:1205.2687v12012
Protocol Integration of Physical Layer Deception into EAP-TEAP Wi-Fi Authentication
Moustafa Ibrahim, Bin Han, Hans D. Schotten
cs.CRcs.NIarXiv:2610.01580v12026
Prediction-powered inference for time series across space
Shahzar Rizvi, David Burt, Vishwak Srinivasan +3
stat.MEcs.LGstat.MLarXiv:2610.08715v12026
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux +1
cs.LGarXiv:2106.06935v42021
Enhancing hyperspectral image unmixing with spatial correlations
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
stat.MEphysics.data-anstat.AParXiv:1002.1059v42010
VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
Hongyang Du, Junjie Ye, Xiaoyan Cong +7
cs.CVcs.AIcs.LGarXiv:2601.23286v42026
Managing Context and Communication in Distributed Agentic UAV Swarms
Andrea Iannoli, Ivan Zyrianoff, Angelo Trotta +2
cs.MAcs.AIcs.LGarXiv:2610.01569v12026
Jartege: a Tool for Random Generation of Unit Tests for Java Classes
Catherine Oriat
cs.PLarXiv:cs/0412012v12004
Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications
Zhaorui Wang, Liang Liu, Shuguang Cui
cs.ITeess.SPmath.ITarXiv:1911.03084v22019
"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
Emma Harvey, Allison Koenecke, Rene F. Kizilcec
cs.CYarXiv:2502.14592v12025
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Hu Ye, Jun Zhang, Sibo Liu +2
cs.CVcs.AIarXiv:2308.06721v12023
Knowledge Tracing with Sequential Key-Value Memory Networks
Ghodai Abdelrahman, Qing Wang
cs.LGcs.AIcs.IRarXiv:1910.13197v12019
OpenCoF: Learning to Reason Through Video Generation
Xinyan Chen, Ziyu Guo, Renrui Zhang +2
cs.CVcs.AIarXiv:2607.08763v12026
Modules for Experiments in Stellar Astrophysics (MESA): Time-Dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure
Adam S. Jermyn, Evan B. Bauer, Josiah Schwab +19
astro-ph.SRastro-ph.EPastro-ph.HEarXiv:2208.03651v22022
Cooperative Spectrum Sensing based on the Limiting Eigenvalue Ratio Distribution in Wishart Matrices
Federico Penna, Roberto Garello, Maurizio A. Spirito
cs.ITarXiv:0902.1947v22009
FedFit: Federated Fine-Tuning of LLMs via Vector-Bank Parameterization and Quantization
Hang Zou, Chao Zhang, Yuzhi Yang +3
cs.LGarXiv:2610.01537v12026
SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents
Chenyu Zhou, Qiliang Jiang, Shuning Wu +1
cs.AIcs.LGeess.SYarXiv:2609.04629v12026
Understanding the Multi-modal Prompts of the Pre-trained Vision-Language Model
Shuailei Ma, Chen-Wei Xie, Ying Wei +5
cs.CVarXiv:2312.11570v32023
SpikeMoE: Brain-Inspired Competitive Routing for Flexible Spiking Mixture-of-Experts
Xiaoli Liu, Yujie Liang, Jialin Li +1
cs.AIarXiv:2610.01418v12026
Online convex optimization in the bandit setting: gradient descent without a gradient
Abraham D. Flaxman, Adam Tauman Kalai, H. Brendan McMahan
cs.LGcs.CCarXiv:cs/0408007v12004
Distributed Robust Learning
Jiashi Feng, Huan Xu, Shie Mannor
stat.MLcs.LGarXiv:1409.5937v22014
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
Maziar Raissi
stat.MLcs.LGeess.SYarXiv:1804.07010v12018
3D Object Reconstruction from a Single Depth View with Adversarial Learning
Bo Yang, Hongkai Wen, Sen Wang +3
cs.CVcs.AIcs.LGarXiv:1708.07969v12017
Agentic Reasoning for Large Language Models
Tianxin Wei, Ting-Wei Li, Zhining Liu +26
cs.AIcs.CLarXiv:2601.12538v12026
A Polymatroidal Perspective on Random Contraction
Karthekeyan Chandrasekaran, Chandra Chekuri, Weihao Zhu
cs.DSarXiv:2609.04521v12026
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
Deqing Sun, Xiaodong Yang, Ming-Yu Liu +1
cs.CVarXiv:1809.05571v12018
Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta, Albert Gu, Jonathan Berant
cs.LGcs.CLarXiv:2203.14343v32022
Policy Optimization in RLHF: The Impact of Out-of-preference Data
Ziniu Li, Tian Xu, Yang Yu
cs.LGarXiv:2312.10584v22023
On the optimality of shape and data representation in the spectral domain
Yonathan Aflalo, Haim Brezis, Ron Kimmel
cs.CVarXiv:1409.4349v12014
Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing
Zhe Liu, Chunyang Chen, Junjie Wang +4
cs.SEarXiv:2212.04732v12022
Optimal and Approximate Q-value Functions for Decentralized POMDPs
Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis
cs.AIarXiv:1111.0062v12011
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Sreyan Ghosh, Sonal Kumar, Ashish Seth +6
cs.SDcs.AIcs.CLarXiv:2406.11768v12024
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
Regina Barzilay, Lillian Lee
cs.CLarXiv:cs/0405039v12004
AGENTQ: Quantization-Conditioned Backdoor Attacks on LLM Agents
Xiaoqun Liu, Qiben Yan
cs.CRcs.AIarXiv:2609.14060v12026
One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee
cs.LGcs.SDeess.ASarXiv:1904.05742v42019
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Jiawei Zhao, Zhenyu Zhang, Beidi Chen +3
cs.LGarXiv:2403.03507v22024
Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design
Emil Björnson, Michail Matthaiou, Mérouane Debbah
cs.ITmath.ITarXiv:1409.0875v32014
Auto-Formalizing Neuro-Symbolic Predictors
Samuele Bortolotti, Weixin Chen, Han Zhao +3
cs.LGcs.AIarXiv:2610.01519v12026
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
Zhiqin Yang, Yonggang Zhang, Yu Zheng +4
cs.LGarXiv:2310.05077v12023
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian +3
cs.CLarXiv:2402.04401v32024
PailitaoGR: Latent Think-with-Images for Generative Image Retrieval
Xiaomeng Fan, Yueran Liu, Shengyu Zhou +6
cs.CVcs.AIcs.IRarXiv:2608.26658v12026
Skyrmion-electronics: Writing, deleting, reading and processing magnetic skyrmions toward spintronic applications
Xichao Zhang, Yan Zhou, Kyung Mee Song +7
physics.app-phcond-mat.mtrl-sciarXiv:1906.04718v32019
Why We Refactor? Confessions of GitHub Contributors
Danilo Silva, Nikolaos Tsantalis, Marco Tulio Valente
cs.SEarXiv:1607.02459v12016
Fast Multidimensional Approximate Agreement with Optimal Resilience Using Ball Validity
Tijana Milentijević, Stefan Schmid
cs.DCarXiv:2609.07599v12026
TransA: An Adaptive Approach for Knowledge Graph Embedding
Han Xiao, Minlie Huang, Yu Hao +1
cs.CLarXiv:1509.05490v22015
Monoculture in Matching Markets
Kenny Peng, Nikhil Garg
cs.GTcs.CYecon.THarXiv:2312.09841v12023
Emergence of scaling in random networks
Albert-Laszlo Barabasi, Reka Albert
cond-mat.dis-nnadap-orgcond-mat.stat-mecharXiv:cond-mat/9910332v11999
Client-Edge-Cloud Hierarchical Federated Learning
Lumin Liu, Jun Zhang, S. H. Song +1
cs.NIcs.LGarXiv:1905.06641v22019
MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers
Chaithanya Bandi, Razvan-Gabriel Dumitru, Ben Hertzberg +20
cs.SEcs.AIarXiv:2602.00933v32026
Cluster-Robust Prediction-Powered Inference
David Broska, Michael Howes
stat.MEecon.EMstat.MLarXiv:2610.09601v12026
When Entanglement meets Classical Communications: Quantum Teleportation for the Quantum Internet (Invited Paper)
Angela Sara Cacciapuoti, Marcello Caleffi, Rodney Van Meter +1
quant-phcs.NIarXiv:1907.06197v22019
An Operational Leakage Metric for Eavesdropping in Joint Sensing and Communications Systems
Nanchi Su, Xiaoye Jing, Fan Liu +3
eess.SParXiv:2609.27527v12026
On-Policy Distillation with Negative-Policy Rollouts
Jaehui Hwang, Dongyoon Han, Sangdoo Yun +1
cs.LGarXiv:2610.07874v12026
Amortized Channel Divergence for Asymptotic Quantum Channel Discrimination
Mark M. Wilde, Mario Berta, Christoph Hirche +1
quant-phcs.ITmath.ITarXiv:1808.01498v22018
Safe Planning in Dynamic Environments using Conformal Prediction
Lars Lindemann, Matthew Cleaveland, Gihyun Shim +1
cs.ROeess.SYarXiv:2210.10254v22022
Spectrum Estimation: A Unified Framework for Covariance Matrix Estimation and PCA in Large Dimensions
Olivier Ledoit, Michael Wolf
math.STstat.OTstat.THarXiv:1406.6085v12014
The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
Giuseppe Russo Latona, Manoel Horta Ribeiro, Tim R. Davidson +2
cs.CYarXiv:2405.02150v12024
Near-Optimal Algorithms for Differentially-Private Principal Components
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
stat.MLcs.CRcs.LGarXiv:1207.2812v32012
Local Relation Learning for Face Forgery Detection
Shen Chen, Taiping Yao, Yang Chen +3
cs.CVarXiv:2105.02577v12021
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
Zixiang Chen, Huizhuo Yuan, Yongqian Li +3
cs.LGcs.AIstat.MLarXiv:2312.09193v32023

Every paper with a summary

If players are sparse social dilemmas are too: Importance of percolation for evolution of cooperation

Protocol Integration of Physical Layer Deception into EAP-TEAP Wi-Fi Authentication

Prediction-powered inference for time series across space

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

Enhancing hyperspectral image unmixing with spatial correlations

VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation

Managing Context and Communication in Distributed Agentic UAV Swarms

Jartege: a Tool for Random Generation of Unit Tests for Java Classes

Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications

"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Knowledge Tracing with Sequential Key-Value Memory Networks

OpenCoF: Learning to Reason Through Video Generation

Modules for Experiments in Stellar Astrophysics (MESA): Time-Dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure

Cooperative Spectrum Sensing based on the Limiting Eigenvalue Ratio Distribution in Wishart Matrices

FedFit: Federated Fine-Tuning of LLMs via Vector-Bank Parameterization and Quantization

SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents

Understanding the Multi-modal Prompts of the Pre-trained Vision-Language Model

SpikeMoE: Brain-Inspired Competitive Routing for Flexible Spiking Mixture-of-Experts

Online convex optimization in the bandit setting: gradient descent without a gradient

Distributed Robust Learning

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

3D Object Reconstruction from a Single Depth View with Adversarial Learning

Agentic Reasoning for Large Language Models

A Polymatroidal Perspective on Random Contraction

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

Diagonal State Spaces are as Effective as Structured State Spaces

Policy Optimization in RLHF: The Impact of Out-of-preference Data

On the optimality of shape and data representation in the spectral domain

Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing

Optimal and Approximate Q-value Functions for Decentralized POMDPs

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities

Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization

AGENTQ: Quantization-Conditioned Backdoor Attacks on LLM Agents

One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design

Auto-Formalizing Neuro-Symbolic Predictors

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning

PailitaoGR: Latent Think-with-Images for Generative Image Retrieval

Skyrmion-electronics: Writing, deleting, reading and processing magnetic skyrmions toward spintronic applications

Why We Refactor? Confessions of GitHub Contributors

Fast Multidimensional Approximate Agreement with Optimal Resilience Using Ball Validity

TransA: An Adaptive Approach for Knowledge Graph Embedding

Monoculture in Matching Markets

Emergence of scaling in random networks

Client-Edge-Cloud Hierarchical Federated Learning

MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers

Cluster-Robust Prediction-Powered Inference

When Entanglement meets Classical Communications: Quantum Teleportation for the Quantum Internet (Invited Paper)

An Operational Leakage Metric for Eavesdropping in Joint Sensing and Communications Systems

On-Policy Distillation with Negative-Policy Rollouts

Amortized Channel Divergence for Asymptotic Quantum Channel Discrimination

Safe Planning in Dynamic Environments using Conformal Prediction

Spectrum Estimation: A Unified Framework for Covariance Matrix Estimation and PCA in Large Dimensions

The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates

Near-Optimal Algorithms for Differentially-Private Principal Components

Local Relation Learning for Face Forgery Detection

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time