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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54,841 to 54,900 of 115,141

Probabilistic Numerics and Uncertainty in Computations
Philipp Hennig, Michael A Osborne, Mark Girolami
math.NAcs.AIcs.LGarXiv:1506.01326v12015
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Zhiqi Li, Wenhai Wang, Hongyang Li +5
cs.CVarXiv:2203.17270v22022
SLA-Safe Energy Control for AI-Native NG-RAN Using Stability-Aware Constrained PPO
Dharmendra Kumar
cs.NIcs.LGeess.SParXiv:2609.05861v12026
Fully Convolutional Networks for Semantic Segmentation
Jonathan Long, Evan Shelhamer, Trevor Darrell
cs.CVarXiv:1411.4038v22014
Question Answering as an Automatic Evaluation Metric for News Article Summarization
Matan Eyal, Tal Baumel, Michael Elhadad
cs.CLcs.IRarXiv:1906.00318v12019
Analytic and Algorithmic Aspects of Generalized Harmonic Sums and Polylogarithms
Jakob Ablinger, Johannes Blümlein, Carsten Schneider
math-phcs.SChep-pharXiv:1302.0378v12013
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
Akari Asai, Jacqueline He, Rulin Shao +22
cs.CLcs.AIcs.DLarXiv:2411.14199v12024
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
Gourab K Patro, Arpita Biswas, Niloy Ganguly +2
cs.AIcs.GTarXiv:2002.10764v22020
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
Kin Wai Lau, Lai-Man Po, Yasar Abbas Ur Rehman
cs.CVarXiv:2309.01439v32023
FPGA Acceleration of Fully Homomorphic Encryption with Adaptive Key Switching
Zhihan Xu, Jayashree Adivarahan, Rajgopal Kannan +1
cs.CRcs.ARarXiv:2609.09423v12026
Nonlinear Approximation and (Deep) ReLU Networks
I. Daubechies, R. DeVore, S. Foucart +2
cs.LGarXiv:1905.02199v12019
MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft
Tianjie Ju, Yueqing Sun, Zheng Wu +7
cs.CLarXiv:2605.30931v22026
Deep Scale-spaces: Equivariance Over Scale
Daniel E. Worrall, Max Welling
cs.LGcs.CVstat.MLarXiv:1905.11697v12019
Efficient Long-context Language Model Training by Core Attention Disaggregation
Yonghao Zhuang, Junda Chen, Bo Pang +6
cs.LGcs.DCarXiv:2510.18121v12025
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin, Bissan Ghaddar, Jatin Nathwani
cs.LGcs.AImath.OCarXiv:2010.02068v42020
Symmetry-Breaking De Novo Crystal Generation via Markovian Jump Diffusion
Van Khoa Nguyen, Alexandros Kalousis
cs.LGarXiv:2608.13457v12026
FMA: A Dataset For Music Analysis
Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst +1
cs.SDcs.IRarXiv:1612.01840v32016
XSkill: Cross Embodiment Skill Discovery
Mengda Xu, Zhenjia Xu, Cheng Chi +2
cs.ROcs.AIcs.LGarXiv:2307.09955v22023
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation
Christoph Angermann, Markus Haltmeier, Ruth Steiger +2
cs.CVeess.IVarXiv:1902.00347v22019
DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents
Yubin Wang, Xingjian Wei, Jiang Wu +33
cs.CLarXiv:2609.06703v12026
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
James Prather, Paul Denny, Juho Leinonen +12
cs.CYcs.AIcs.HCarXiv:2310.00658v12023
CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
Zhengyang Tang, Zihan Ye, Chenyu Huang +9
cs.CLcs.AIcs.CEarXiv:2510.04204v12025
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
Stone Tao, Fanbo Xiang, Arth Shukla +20
cs.ROcs.AIarXiv:2410.00425v22024
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen, Daphna Weinshall
cs.LGstat.MLarXiv:1904.03626v32019
Cascaded Incremental Nonlinear Dynamic Inversion Control for MAV Disturbance Rejection
Ewoud J. J. Smeur, Guido C. H. E. de Croon, Qiping Chu
cs.ROarXiv:1701.07254v22017
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai +3
cs.CVcs.LGarXiv:1611.05377v12016
3DGen-Bench: Comprehensive Benchmark Suite for 3D Generative Models
Yuhan Zhang, Mengchen Zhang, Tong Wu +4
cs.CVarXiv:2503.21745v32025
Agent-based Modeling: Equilibrium, Echo Chambers, and Efficiency in Hybrid Coevolutionary Opinion Games
Ming-Zhi Jiang, An-Tzi Teng, Jun-En Liu +2
cs.GTcs.MAcs.SIarXiv:2609.27639v12026
Unsupervised Opinion Summarization as Copycat-Review Generation
Arthur Bražinskas, Mirella Lapata, Ivan Titov
cs.CLcs.IRcs.LGarXiv:1911.02247v22019
gMark: Schema-Driven Generation of Graphs and Queries
Guillaume Bagan, Angela Bonifati, Radu Ciucanu +3
cs.DBarXiv:1511.08386v62015
Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach
Insoon Yang
math.OCeess.SYarXiv:1812.09808v42018
Training a Feedback Loop for Hand Pose Estimation
Markus Oberweger, Paul Wohlhart, Vincent Lepetit
cs.CVarXiv:1609.09698v12016
What Is Lost in Post-Training? Default Collapse and the Loss of In-Context Steerability Across Diverse Perspectives
Jessica Dierking, Itai Shapira, Niclas Boehmer
cs.LGarXiv:2610.02614v12026
Batch Normalization Embeddings for Deep Domain Generalization
Mattia Segu, Alessio Tonioni, Federico Tombari
cs.LGcs.CVarXiv:2011.12672v32020
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Alexandre Abraham, Michael Milham, Adriana Di Martino +4
stat.MLq-bio.NCarXiv:1611.06066v12016
Learning Performance-Improving Code Edits
Alexander Shypula, Aman Madaan, Yimeng Zeng +7
cs.SEcs.AIcs.LGarXiv:2302.07867v52023
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
Alicia Curth, Mihaela van der Schaar
stat.MLcs.LGarXiv:2101.10943v22021
Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero
Kenshin Abe, Zijian Xu, Issei Sato +1
cs.LGstat.MLarXiv:1905.11623v22019
LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Design of Multi Active/Passive Core-Agent Architectures
Amine Ben Hassouna, Hana Chaari, Ines Belhaj
cs.SEcs.AIcs.CRarXiv:2409.11393v32024
A Fusion Approach for Efficient Human Skin Detection
Wei Ren Tan, Chee Seng Chan, Pratheepan Yogarajah +1
cs.CVstat.MLarXiv:1410.3751v12014
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman Ravuri, Karel Lenc, Matthew Willson +17
cs.LGarXiv:2104.00954v12021
Neural Feature Search for RGB-Infrared Person Re-Identification
Yehansen Chen, Lin Wan, Zhihang Li +2
cs.CVarXiv:2104.02366v12021
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Yue Zhang, Yafu Li, Leyang Cui +13
cs.CLcs.AIcs.CYarXiv:2309.01219v32023
Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport
QiZhi He, David Brajas-Solano, Guzel Tartakovsky +1
cs.LGphysics.comp-phstat.MLarXiv:1912.02968v12019
Discrete Latent Factor Model for Cross-Modal Hashing
Qing-Yuan Jiang, Wu-Jun Li
cs.IRarXiv:1707.08322v12017
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, Quoc V. Le
cs.CLcs.LGarXiv:1409.3215v32014
Exploring the microstructure manifold: image texture representations applied to ultrahigh carbon steel microstructures
Brian L. DeCost, Toby Francis, Elizabeth A. Holm
cond-mat.mtrl-sciarXiv:1702.01117v22017
GORGO: Online Tuning for Cross-Region Network-Aware LLM Serving
Alessio Ricci Toniolo, Rome Thorstenson, Abinaya Dinesh
cs.NIcs.DCarXiv:2602.11688v32026
Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages
Aisling Gough, Ruth F Hunter, Oluwaseun Ajao +8
cs.SIarXiv:1703.08813v12017
AnyDoor: Zero-shot Object-level Image Customization
Xi Chen, Lianghua Huang, Yu Liu +3
cs.CVarXiv:2307.09481v22023
The total irregularity of a graph
Hosam Abdo, Darko Dimitrov
cs.DMmath.COarXiv:1207.5267v12012
Adscape: Harvesting and Analyzing Online Display Ads
Paul Barford, Igor Canadi, Darja Krushevskaja +2
cs.CYcs.NIarXiv:1407.0788v22014
SkillHarm: Lifecycle-Aware Skill-Based Attacks via Automated Construction
Yuting Ning, Zhehao Zhang, Yash Kumar Lal +8
cs.CLarXiv:2606.02540v12026
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
Hao Peng, Tianyu Gao, Xu Han +5
cs.CLarXiv:2010.01923v22020
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig, Moshiko Raboh, Gal Chechik +2
stat.MLcs.CVcs.LGarXiv:1802.05451v42018
A Deep Look into Neural Ranking Models for Information Retrieval
Jiafeng Guo, Yixing Fan, Liang Pang +6
cs.IRarXiv:1903.06902v32019
Neural Generative Question Answering
Jun Yin, Xin Jiang, Zhengdong Lu +3
cs.CLarXiv:1512.01337v42015
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
Mert Pilanci, Tolga Ergen
cs.LGcs.CCstat.MLarXiv:2002.10553v22020
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
Davide Paglieri, Bartłomiej Cupiał, Samuel Coward +10
cs.AIarXiv:2411.13543v22024
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
Xuan Zhang, Wei Gao
cs.CLarXiv:2310.00305v12023

Every paper with a summary

Probabilistic Numerics and Uncertainty in Computations

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

SLA-Safe Energy Control for AI-Native NG-RAN Using Stability-Aware Constrained PPO

Fully Convolutional Networks for Semantic Segmentation

Question Answering as an Automatic Evaluation Metric for News Article Summarization

Analytic and Algorithmic Aspects of Generalized Harmonic Sums and Polylogarithms

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN

FPGA Acceleration of Fully Homomorphic Encryption with Adaptive Key Switching

Nonlinear Approximation and (Deep) ReLU Networks

MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft

Deep Scale-spaces: Equivariance Over Scale

Efficient Long-context Language Model Training by Core Attention Disaggregation

Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows

Symmetry-Breaking De Novo Crystal Generation via Markovian Jump Diffusion

FMA: A Dataset For Music Analysis

XSkill: Cross Embodiment Skill Discovery

Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation

DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents

The Robots are Here: Navigating the Generative AI Revolution in Computing Education

CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI

On The Power of Curriculum Learning in Training Deep Networks

Cascaded Incremental Nonlinear Dynamic Inversion Control for MAV Disturbance Rejection

Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

3DGen-Bench: Comprehensive Benchmark Suite for 3D Generative Models

Agent-based Modeling: Equilibrium, Echo Chambers, and Efficiency in Hybrid Coevolutionary Opinion Games

Unsupervised Opinion Summarization as Copycat-Review Generation

gMark: Schema-Driven Generation of Graphs and Queries

Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach

Training a Feedback Loop for Hand Pose Estimation

What Is Lost in Post-Training? Default Collapse and the Loss of In-Context Steerability Across Diverse Perspectives

Batch Normalization Embeddings for Deep Domain Generalization

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

Learning Performance-Improving Code Edits

Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms

Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero

LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Design of Multi Active/Passive Core-Agent Architectures

A Fusion Approach for Efficient Human Skin Detection

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Neural Feature Search for RGB-Infrared Person Re-Identification

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport

Discrete Latent Factor Model for Cross-Modal Hashing

Sequence to Sequence Learning with Neural Networks

Exploring the microstructure manifold: image texture representations applied to ultrahigh carbon steel microstructures

GORGO: Online Tuning for Cross-Region Network-Aware LLM Serving

Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages

AnyDoor: Zero-shot Object-level Image Customization

The total irregularity of a graph

Adscape: Harvesting and Analyzing Online Display Ads

SkillHarm: Lifecycle-Aware Skill-Based Attacks via Automated Construction

Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

A Deep Look into Neural Ranking Models for Information Retrieval

Neural Generative Question Answering

Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games

Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method