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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64,141 to 64,200 of 104,226

Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
Khanh Nguyen, Debadeepta Dey, Chris Brockett +1
cs.LGcs.CLcs.CVarXiv:1812.04155v42018
When Behavioral Safety Evaluation Fails: A Representation-Level Perspective
Enyi Jiang, Anders Gjølbye, Yibo Jacky Zhang +1
cs.LGcs.AIcs.CLarXiv:2606.08044v22026
LlamaFirewall: An open source guardrail system for building secure AI agents
Sahana Chennabasappa, Cyrus Nikolaidis, Daniel Song +16
cs.CRcs.AIarXiv:2505.03574v12025
Improving Direct Physical Properties Prediction of Heterogeneous Materials from Imaging Data via Convolutional Neural Network and a Morphology-Aware Generative Model
Ruijin Cang, Hechao Li, Hope Yao +2
physics.comp-phcond-mat.mtrl-sciarXiv:1712.03811v12017
Low-Cost Sensor Calibration for Indoor Air Quality Monitoring: A Dataset, Evaluation Scenarios, and a Lightweight Model
Jinyong Yun, Seokho Ahn, Hyungjin Kim +2
cs.LGarXiv:2610.11236v12026
Flow-based generative models for Markov chain Monte Carlo in lattice field theory
M. S. Albergo, G. Kanwar, P. E. Shanahan
hep-latcond-mat.dis-nncond-mat.stat-mecharXiv:1904.12072v32019
Reasoning about Causality in Games
Lewis Hammond, James Fox, Tom Everitt +3
cs.AIcs.GTcs.MAarXiv:2301.02324v22023
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
Kaiqing Zhang, Alec Koppel, Hao Zhu +1
math.OCcs.LGeess.SYarXiv:1906.08383v32019
UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving
Hao Lu, Ziyang Liu, Guangfeng Jiang +4
cs.CVarXiv:2512.09864v12025
PhraseCut: Language-based Image Segmentation in the Wild
Chenyun Wu, Zhe Lin, Scott Cohen +2
cs.CVarXiv:2008.01187v12020
A Comprehensive Survey on Data Augmentation
Zaitian Wang, Pengfei Wang, Kunpeng Liu +6
cs.LGcs.AIarXiv:2405.09591v42024
Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms
Leiming Yu, Fanny Nina-Paravecino, David Kaeli +1
cs.DCphysics.comp-pharXiv:1711.03244v22017
Polynomial-time T-depth Optimization of Clifford+T circuits via Matroid Partitioning
Matthew Amy, Dmitri Maslov, Michele Mosca
quant-phcs.ETarXiv:1303.2042v22013
On the Detection of Digital Face Manipulation
Hao Dang, Feng Liu, Joel Stehouwer +2
cs.CVarXiv:1910.01717v52019
The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election
Michael Bossetta
cs.SIcs.CYcs.HCarXiv:1904.07333v12019
DefaultShift: Auditing Semantic Default Shift in Accelerated Text-to-Image Models
Xuanhua Yin, Chuanzhi Xu, Shunqi Mao +2
cs.CVarXiv:2608.21784v12026
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Yidong Wang, Zhuohao Yu, Zhengran Zeng +10
cs.CLcs.AIarXiv:2306.05087v22023
Predictive Geometry of Hidden Trajectories in Transformers
Timur Mudarisov, Mikhail Burtsev, Tatiana Petrova +1
cs.LGcs.CLarXiv:2609.37717v12026
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
cs.LGcs.DScs.NEarXiv:1811.03962v52018
When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
Zhishang Xiang, Chuanjie Wu, Qinggang Zhang +4
cs.CLarXiv:2506.05690v32025
Performance of a Quantum Annealer for Ising Ground State Computations on Chimera Graphs
Michael Juenger, Elisabeth Lobe, Petra Mutzel +4
cs.DScs.PFquant-pharXiv:1904.11965v12019
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
Wei Zhao, Maxime Peyrard, Fei Liu +3
cs.CLarXiv:1909.02622v22019
Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency
Itay Elam, Eliron Rahimi, Avi Mendelson +1
cs.LGarXiv:2606.07881v12026
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
cs.CVarXiv:2108.09274v12021
RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning
Seungku Kim, Suhyeok Jang, Byungjun Yoon +3
cs.ROcs.AIcs.CVarXiv:2602.18742v12026
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation
Xuan Ju, Ailing Zeng, Chenchen Zhao +3
cs.CVarXiv:2304.04269v12023
AgentLeak: A Benchmark for Internal-Channel Privacy Leakage in Multi-Agent LLM Systems
Faouzi El Yagoubi, Godwin Badu-Marfo, Ranwa Al Mallah
cs.AIarXiv:2602.11510v32026
Gromov-Monge Flow Matching for Equivariant Graph Generation
Moritz Piening, Christian Wald
cs.LGmath.OCstat.MLarXiv:2608.26961v12026
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury +7
cs.CLcs.AIarXiv:2402.15491v22024
Sensitivity-driven Personalization of a Glucoregulatory Model for Digital Twin Therapeutics in Type 1 Diabetes
Clara Escorihuela-Altaba, Vihangkumar V. Naik, Eleonora Manzoni +1
eess.SYcs.SYarXiv:2609.31259v12026
KORD: Breaking the Key-Generation Bottleneck in Dealerless FSS via Protocol--Hardware Co-Design
Yijing Peng, Lin Liu, Yujie Xue +5
cs.CRcs.ARarXiv:2608.30379v12026
A survey of cross-validation procedures for model selection
Sylvain Arlot, Alain Celisse
math.STstat.APstat.MEarXiv:0907.4728v12009
Channel Estimation for Wireless Communication Systems Assisted by Large Intelligent Surfaces
Junliang Lin, Gongpu Wang, Rongfei Fan +2
cs.ITeess.SPmath.ITarXiv:1911.02158v12019
Tight Thresholds for Cuckoo Hashing via XORSAT
Martin Dietzfelbinger, Andreas Goerdt, Michael Mitzenmacher +3
cs.DSarXiv:0912.0287v32009
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection
David Zimmerer, Simon A. A. Kohl, Jens Petersen +2
cs.LGstat.MLarXiv:1812.05941v12018
Tensor networks and graphical calculus for open quantum systems
Christopher J. Wood, Jacob D. Biamonte, David G. Cory
quant-pharXiv:1111.6950v32011
kh2d-solver: A Python Library for Idealized Two-Dimensional Incompressible Kelvin-Helmholtz Instability
Sandy H. S. Herho, Nurjanna J. Trilaksono, Faiz R. Fajary +4
physics.flu-dynphysics.ao-phphysics.comp-pharXiv:2509.16080v12025
Grover Adaptive Search for Constrained Polynomial Binary Optimization
Austin Gilliam, Stefan Woerner, Constantin Gonciulea
quant-phcs.ETarXiv:1912.04088v32019
Bounding the average gate fidelity of composite channels using the unitarity
Arnaud Carignan-Dugas, Joel J. Wallman, Joseph Emerson
quant-pharXiv:1610.05296v42016
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Lin Xu, Qixian Zhou, Ke Gong +3
cs.CLarXiv:1901.10623v22019
"I May Not Have Articulated Myself Clearly": Diagnosing Dynamic Instability in LLM Reasoning at Inference Time
Jinkun Chen, Fengxiang Cheng, Sijia Han +1
cs.AIcs.LGarXiv:2602.02863v12026
A Survey of FPGA-Based Neural Network Accelerator
Kaiyuan Guo, Shulin Zeng, Jincheng Yu +2
cs.ARarXiv:1712.08934v32017
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
Kuangen Zhang, Ming Hao, Jing Wang +2
cs.CVarXiv:1904.10014v22019
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
Fuqiang Wang, Song Tan, Zheng Guo +8
cs.IRcs.AIarXiv:2606.07454v12026
Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization
Mizanur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar +2
cs.CLarXiv:2601.04582v12026
Pose-Free Feed-Forward 3D Inpainting via Learnable Mask Attention and Support Token Refinement
Jingyi Pan, Dan Xu, Qiong Luo
cs.CVarXiv:2610.11857v12026
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective
Xianfu Chen, Celimuge Wu, Tao Chen +4
cs.AIcs.LGarXiv:1908.02047v22019
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li, Zhen Wang, Yankai Chen +3
cs.LGarXiv:2405.00334v22024
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang +4
cs.CVarXiv:1711.10485v12017
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao Lin, Lingjing Kong, Sebastian U. Stich +1
cs.LGstat.MLarXiv:2006.07242v32020
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
Jianhao Jiao, Haoyang Ye, Yilong Zhu +1
cs.ROcs.CVarXiv:2010.14294v22020
Encrypt What Matters: When Selective Homomorphic Inference Is Efficient
Ali Backour, Juan Reyes, Jaime Punyed +1
cs.CRcs.LGarXiv:2609.09357v12026
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
James R. Clough, Nicholas Byrne, Ilkay Oksuz +3
cs.CVeess.IVarXiv:1910.01877v22019
Algebraic Methods in the Congested Clique
Keren Censor-Hillel, Petteri Kaski, Janne H. Korhonen +3
cs.DCcs.DSarXiv:1503.04963v12015
Temporal Locality in Today's Content Caching: Why it Matters and How to Model it
Mohamed Ahmed, Stefano Traverso, Michele Garetto +3
cs.NIarXiv:1305.7114v42013
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
Hao Chen, Qi Dou, Lequan Yu +1
cs.CVarXiv:1608.05895v12016
A Discrete and Bounded Envy-Free Cake Cutting Protocol for Any Number of Agents
Haris Aziz, Simon Mackenzie
cs.DScs.AIcs.GTarXiv:1604.03655v122016
ArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible Reasoning
İbrahim Ethem Deveci, Funda Tan Çalık, Barış Deniz Sağlam +1
cs.AIcs.CLarXiv:2609.38409v12026
Adaptive Second-Order Solvers for Fast Stochastic Diffusion Sampling
Ella Kemperman, Luca Ambrogioni
cs.LGcs.CLcs.CVarXiv:2610.03034v12026
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Xiang Yue, Yuansheng Ni, Kai Zhang +19
cs.CLcs.AIcs.CVarXiv:2311.16502v42023

Every paper with a summary

Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective

LlamaFirewall: An open source guardrail system for building secure AI agents

Improving Direct Physical Properties Prediction of Heterogeneous Materials from Imaging Data via Convolutional Neural Network and a Morphology-Aware Generative Model

Low-Cost Sensor Calibration for Indoor Air Quality Monitoring: A Dataset, Evaluation Scenarios, and a Lightweight Model

Flow-based generative models for Markov chain Monte Carlo in lattice field theory

Reasoning about Causality in Games

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies

UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving

PhraseCut: Language-based Image Segmentation in the Wild

A Comprehensive Survey on Data Augmentation

Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms

Polynomial-time T-depth Optimization of Clifford+T circuits via Matroid Partitioning

On the Detection of Digital Face Manipulation

The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election

DefaultShift: Auditing Semantic Default Shift in Accelerated Text-to-Image Models

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Predictive Geometry of Hidden Trajectories in Transformers

A Convergence Theory for Deep Learning via Over-Parameterization

When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation

Performance of a Quantum Annealer for Ising Ground State Computations on Chimera Graphs

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency

MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction

RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning

HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation

AgentLeak: A Benchmark for Internal-Channel Privacy Leakage in Multi-Agent LLM Systems

Gromov-Monge Flow Matching for Equivariant Graph Generation

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

Sensitivity-driven Personalization of a Glucoregulatory Model for Digital Twin Therapeutics in Type 1 Diabetes

KORD: Breaking the Key-Generation Bottleneck in Dealerless FSS via Protocol--Hardware Co-Design

A survey of cross-validation procedures for model selection

Channel Estimation for Wireless Communication Systems Assisted by Large Intelligent Surfaces

Tight Thresholds for Cuckoo Hashing via XORSAT

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection

Tensor networks and graphical calculus for open quantum systems

kh2d-solver: A Python Library for Idealized Two-Dimensional Incompressible Kelvin-Helmholtz Instability

Grover Adaptive Search for Constrained Polynomial Binary Optimization

Bounding the average gate fidelity of composite channels using the unitarity

End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis

"I May Not Have Articulated Myself Clearly": Diagnosing Dynamic Instability in LLM Reasoning at Inference Time

A Survey of FPGA-Based Neural Network Accelerator

Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features

PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams

Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization

Pose-Free Feed-Forward 3D Inpainting via Learnable Mask Attention and Support Token Refinement

Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

A Survey on Deep Active Learning: Recent Advances and New Frontiers

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Ensemble Distillation for Robust Model Fusion in Federated Learning

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

Encrypt What Matters: When Selective Homomorphic Inference Is Efficient

A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology

Algebraic Methods in the Congested Clique

Temporal Locality in Today's Content Caching: Why it Matters and How to Model it

VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation

A Discrete and Bounded Envy-Free Cake Cutting Protocol for Any Number of Agents

ArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible Reasoning

Adaptive Second-Order Solvers for Fast Stochastic Diffusion Sampling

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI