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.

Search paper metadata (including unsummarized papers)

50,461 to 50,520 of 120,024

Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik, Zhenyi Tang, Shuijing Liu +2
cs.LGcs.AIcs.ROarXiv:1712.03632v12017
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Xiangsen Wang, Haoran Xu, Yinan Zheng +1
cs.LGcs.MAarXiv:2307.11620v22023
Provably Safe Sim-to-Real Transfer
Tingting Ni, Maryam Kamgarpour
cs.LGcs.AIarXiv:2609.01418v12026
SIGMA-Lane: Scale-pyramId Gated MAmba for Temporally Consistent Video Lane Detection
Tiancheng Zhang, Mengmeng Wang, Yan Gao +3
cs.CVcs.AIarXiv:2608.16338v12026
Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks
Wasu Top Piriyakulkij, Rachel Lawrence, Alicia Curth +2
cs.AIcs.CLcs.LGarXiv:2609.09233v12026
Climate change sentiment on Twitter: An unsolicited public opinion poll
Emily M. Cody, Andrew J. Reagan, Lewis Mitchell +2
physics.soc-phcs.CYcs.SIarXiv:1505.03804v22015
EndoLIFT: Language-Disambiguated Latent-Conditioned Rectified Flow for Bidirectional Endoscopic Control
Chi Kit Ng, Yidong Zhang, Lui Siu Hing +9
cs.ROarXiv:2608.20478v12026
Sparse Autoencoders Do Not Find Canonical Units of Analysis
Patrick Leask, Bart Bussmann, Michael Pearce +5
cs.LGcs.AIarXiv:2502.04878v12025
FailPatch: Failure Residual Patching for Vision-Language-Action Models
Peng Yu, Jiacheng Wang, Ziheng Zhang +6
cs.ROarXiv:2609.34175v12026
BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives
Aarush Sinha, Pavan Kumar S, Roshan Balaji +1
cs.IRcs.CLarXiv:2511.08029v22025
Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures
Jaee Ponde, Roshni Agarwal, Subhashis Banerjee
cs.LGcs.AIarXiv:2609.00764v12026
BluePyOpt: Leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience
Werner Van Geit, Michael Gevaert, Giuseppe Chindemi +6
q-bio.NCarXiv:1603.00500v12016
SDN-based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach
Jun Du, Chunxiao Jiang, Abderrahim Benslimane +2
eess.SYarXiv:2109.12543v12021
Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema
Xiaohan Feng, Xixin Wu, Helen Meng
cs.AIcs.IRarXiv:2412.20942v12024
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan N. Gomez, Mengye Ren, Raquel Urtasun +1
cs.CVcs.LGarXiv:1707.04585v12017
One Step at a Time: Trading LLM Autonomy for Process Predictability
Hans Schabert, Christoph Peters
cs.CLcs.AIarXiv:2610.07817v12026
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech
Saeed Ghorbani, Ylva Ferstl, Daniel Holden +2
cs.GRcs.LGcs.SDarXiv:2209.07556v22022
An End-to-End Pipeline for Causal ML with Continuous Treatments: An Application to Financial Decision Making
Javier Moral Hernández, Clara Higuera-Cabañes, Álvaro Ibraín
stat.MEcs.LGstat.AParXiv:2609.30396v12026
When Tokenization is Secretly Output Supervision
Tanja Baeumel, Josef van Genabith, Simon Ostermann
cs.CLarXiv:2609.01386v12026
ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation
Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam +4
cs.CLcs.AIarXiv:2105.13562v22021
Backpropagation-free Training of Deep Physical Neural Networks
Ali Momeni, Babak Rahmani, Matthieu Mallejac +2
cs.LGcs.NEphysics.app-pharXiv:2304.11042v32023
The Geometry of Statistical Feature Learning in Mean-Field Langevin Dynamics
Zong Shang, Tomoya Wakayama, Guillaume Lecué +1
math.STcs.LGstat.MLarXiv:2606.31429v22026
SurfNet: Generating 3D shape surfaces using deep residual networks
Ayan Sinha, Asim Unmesh, Qixing Huang +1
cs.CVcs.CGarXiv:1703.04079v12017
An Overview on Integrated Localization and Communication Towards 6G
Zhiqiang Xiao, Yong Zeng
eess.SParXiv:2006.01535v12020
ScamChatBot: An End-to-End Analysis of Fake Account Recovery on Social Media via Chatbots
Bhupendra Acharya, Dominik Sautter, Muhammad Saad +1
cs.CRarXiv:2412.15072v12024
DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation Autoencoders
Tianhang Wang, Yitong Chen, Wei Song +3
cs.CVarXiv:2605.22777v12026
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
Gonzalo Mena, Jonathan Weed
math.STcs.LGstat.MLarXiv:1905.11882v22019
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives
Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno +4
cs.LGcs.NEarXiv:2103.14624v12021
Nonparametric Contextual Pricing and Inventory Learning under Censored Demand
Zean Han, Jing Liang, Ruihan Lin +2
cs.LGarXiv:2608.30944v12026
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations
Tiancheng Zhao, Tianqi Zhang, Mingwei Zhu +4
cs.CVcs.CLcs.LGarXiv:2207.00221v22022
Twelve Quick Tips for Managing IT Disasters in Small Research Software Teams
Greg Wilson
cs.SEarXiv:2608.27196v12026
Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an NLL Estimator
Zhuotong Chen, Fang Liu, Xuan Zhu +2
cs.AIarXiv:2502.04567v12025
An adaptive attack on Wiesner's quantum money
Aharon Brodutch, Daniel Nagaj, Or Sattath +1
quant-phcs.CRarXiv:1404.1507v42014
Self-GC: Self-Governing Context for Long-Horizon LLM Agents
Xubin Hao, Hongjin Meng, Xin Yin +2
cs.AIarXiv:2607.00692v12026
Efficient Continuous Pareto Exploration in Multi-Task Learning
Pingchuan Ma, Tao Du, Wojciech Matusik
cs.LGcs.CVstat.MLarXiv:2006.16434v22020
HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
Haoran Luo, Haihong E, Guanting Chen +9
cs.AIarXiv:2503.21322v32025
Uncovering and Mitigating Aggregation-Induced Reward Hacking in Multi-Reward Reinforcement Learning
Yu Yuan, Yaoyou Fan, Lili Zhao +5
cs.CLarXiv:2609.00213v12026
The physics of spreading processes in multilayer networks
Manlio De Domenico, Clara Granell, Mason A. Porter +1
physics.soc-phcond-mat.dis-nncs.SIarXiv:1604.02021v22016
Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games
Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson +2
cs.GTarXiv:2412.20291v12024
Optimized Fuzzy Logic Approach with the IEEE Key Gas Method for Diagnosing Power Transformer Faults Using Dissolved Gas Analysis
Kim-Anh Nguyen, Huy Hoang Le, Ba Tu Phung
cs.AIarXiv:2608.18133v12026
Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines
Li Huang, Lei Wang
physics.comp-phcond-mat.str-elstat.MLarXiv:1610.02746v22016
Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds
Michael Neunert, Markus Stäuble, Markus Giftthaler +5
cs.ROarXiv:1712.02889v12017
Surface code quantum communication
Austin G. Fowler, David S. Wang, Charles D. Hill +3
quant-pharXiv:0910.4074v32009
VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model
Xiangyu Sun, Shijie Wang, Fengyi Zhang +5
cs.CVarXiv:2603.12655v12026
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
Renlong Hang, Qingshan Liu, Danfeng Hong +1
cs.CVarXiv:1902.10858v12019
Training-Free Vector Quantization via Gaussian VAEs
Tongda Xu, Wendi Zheng, Jiajun He +4
cs.LGcs.CVarXiv:2512.06609v32025
Visual Recognition with Deep Nearest Centroids
Wenguan Wang, Cheng Han, Tianfei Zhou +1
cs.CVarXiv:2209.07383v22022
Efficient transfer entropy analysis of non-stationary neural time series
Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente +2
cs.ITmath.ITq-bio.NCarXiv:1401.4068v22014
A Framework for Object-Centric Predictive Monitoring of Collaborative Processes
Daniel Calegari, Andrea Delgado, Leonel Peña +1
cs.AIarXiv:2608.27671v12026
A Theoretical Analysis of NDCG Type Ranking Measures
Yining Wang, Liwei Wang, Yuanzhi Li +3
cs.LGcs.IRstat.MLarXiv:1304.6480v12013
A Support-Enhanced Granular-Jamming Gripper for RL-based Grasping with Continuum Manipulators
Danyu Liu, Tianlin Zhang, Wei Chen +3
cs.ROarXiv:2609.29093v12026
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network
Yuqing Hu, Xiaoyuan Cheng, Suhang Wang +3
cs.LGarXiv:2105.13399v12021
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
Bruce W. Lee, Yoo Sung Jang, Jason Hyung-Jong Lee
cs.CLcs.AIarXiv:2109.12258v22021
From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
Siyu Xia, Zekun Xu, Jiajun Chai +7
cs.CLarXiv:2511.07800v12025
NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
Xiangyan Liu, Jinjie Ni, Zijian Wu +5
cs.CVarXiv:2504.13055v42025
Unleashing the Tiger: Inference Attacks on Split Learning
Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
cs.CRcs.LGarXiv:2012.02670v52020
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling
cs.LGcs.AIstat.MLarXiv:1905.11786v32019
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang +8
cs.LGcs.DCcs.PFarXiv:2207.00032v12022
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
James Prather, Juho Leinonen, Natalie Kiesler +12
cs.CYcs.AIcs.HCarXiv:2412.14732v12024
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
Wentao Zhu, Chaochun Liu, Wei Fan +1
cs.CVcs.LGcs.NEarXiv:1801.09555v12018

Every paper with a summary

Robust Deep Reinforcement Learning with Adversarial Attacks

Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization

Provably Safe Sim-to-Real Transfer

SIGMA-Lane: Scale-pyramId Gated MAmba for Temporally Consistent Video Lane Detection

Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks

Climate change sentiment on Twitter: An unsolicited public opinion poll

EndoLIFT: Language-Disambiguated Latent-Conditioned Rectified Flow for Bidirectional Endoscopic Control

Sparse Autoencoders Do Not Find Canonical Units of Analysis

FailPatch: Failure Residual Patching for Vision-Language-Action Models

BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives

Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures

BluePyOpt: Leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience

SDN-based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach

Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema

The Reversible Residual Network: Backpropagation Without Storing Activations

One Step at a Time: Trading LLM Autonomy for Process Predictability

ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech

An End-to-End Pipeline for Causal ML with Continuous Treatments: An Application to Financial Decision Making

When Tokenization is Secretly Output Supervision

ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation

Backpropagation-free Training of Deep Physical Neural Networks

The Geometry of Statistical Feature Learning in Mean-Field Langevin Dynamics

SurfNet: Generating 3D shape surfaces using deep residual networks

An Overview on Integrated Localization and Communication Towards 6G

ScamChatBot: An End-to-End Analysis of Fake Account Recovery on Social Media via Chatbots

DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation Autoencoders

Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem

Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives

Nonparametric Contextual Pricing and Inventory Learning under Censored Demand

VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations

Twelve Quick Tips for Managing IT Disasters in Small Research Software Teams

Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an NLL Estimator

An adaptive attack on Wiesner's quantum money

Self-GC: Self-Governing Context for Long-Horizon LLM Agents

Efficient Continuous Pareto Exploration in Multi-Task Learning

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation

Uncovering and Mitigating Aggregation-Induced Reward Hacking in Multi-Reward Reinforcement Learning

The physics of spreading processes in multilayer networks

Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games

Optimized Fuzzy Logic Approach with the IEEE Key Gas Method for Diagnosing Power Transformer Faults Using Dissolved Gas Analysis

Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines

Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds

Surface code quantum communication

VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

Training-Free Vector Quantization via Gaussian VAEs

Visual Recognition with Deep Nearest Centroids

Efficient transfer entropy analysis of non-stationary neural time series

A Framework for Object-Centric Predictive Monitoring of Collaborative Processes

A Theoretical Analysis of NDCG Type Ranking Measures

A Support-Enhanced Granular-Jamming Gripper for RL-based Grasping with Continuum Manipulators

Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features

From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory

NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation

Unleashing the Tiger: Inference Attacks on Split Learning

Putting An End to End-to-End: Gradient-Isolated Learning of Representations

DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification