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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89,281 to 89,340 of 102,161

Empowering Intelligent Low-altitude Economy with Large AI Model Deployment
Zhonghao Lyu, Yulan Gao, Junting Chen +4
eess.SPcs.AIarXiv:2505.22343v22025
Power Transformer Health Index and Life Span Assessment: A Comprehensive Review of Conventional and Machine Learning based Approaches
Syeda Tahreem Zahra, Syed Kashif Imdad, Sohail Khan +2
cs.LGcs.AIarXiv:2504.15310v12025
A New Skill Based Robot Programming Language Using UML/P Statecharts
Ulrike Thomas, Gerd Hirzinger, Bernhard Rumpe +2
cs.SEcs.ROarXiv:1409.6601v12014
Prime Focus Spectrograph (PFS) for the Subaru Telescope: Overview, recent progress, and future perspectives
Naoyuki Tamura, Naruhisa Takato, Atsushi Shimono +97
astro-ph.IMastro-ph.COastro-ph.GAarXiv:1608.01075v12016
VLM-FO1: Bridging the Gap Between High-Level Reasoning and Fine-Grained Perception in VLMs
Peng Liu, Haozhan Shen, Chunxin Fang +3
cs.CVcs.CLarXiv:2509.25916v12025
Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits
Amirhosein Ghasemabadi, Di Niu
cs.CLarXiv:2512.20578v22025
AgentPerfBench: A Benchmarking and Evaluation Suite for Inference Performance of Agentic LLMs
Cheuk Hang Lau, Zeyu Cao, Kevin Wong Cheuk Yin +6
cs.LGarXiv:2609.34683v12026
Joint Video and Text Parsing for Understanding Events and Answering Queries
Kewei Tu, Meng Meng, Mun Wai Lee +2
cs.CVcs.CLcs.MMarXiv:1308.6628v22013
BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation
Rutav Shah, Albert Yu, Yifeng Zhu +2
cs.ROcs.AIarXiv:2410.06237v12024
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models
Jiafei Duan, Wentao Yuan, Wilbert Pumacay +4
cs.ROcs.CVarXiv:2406.18915v32024
Louder, Longer, Livelier: Acoustic Shortcuts and Underspecified Rationales in Speech LLM Judges
Mingyue Huo, Shivam Mehta, Bhavin Jawade +2
eess.AScs.SDarXiv:2609.36979v12026
Deconstructing BLE Multi-hop: a Model-based Approach to Quantifying the Challenges
Bozheng Pang, José Alamos, Thomas C. Schmidt +1
cs.NIarXiv:2609.34483v12026
Socrates-RAG: Premise-Directed Inquiry against Coordinated Evidence Poisoning
Renyu Zhao, Xinyuan Zou, Lanbin Liu
cs.IRarXiv:2609.35773v12026
Online Inference of Human Intention as a Latent Control State from Single-Trial EEG
Xiaowei Jiang, Daniel Leong, Yu-Cheng Chang +2
cs.HCarXiv:2609.35778v12026
Applying Neural Networks in Optical Communication Systems: Possible Pitfalls
Tobias A. Eriksson, Henning Bülow, Andreas Leven
cs.ITmath.ITarXiv:1709.09862v12017
Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach
Yixuan Li, Kun He, David Bindel +1
cs.SIcs.DSphysics.soc-pharXiv:1509.07715v12015
Do Emotion Concepts Generalize Across Sources, Modalities, and Architectures in Vision-Language Models?
Bohao Xing, Xin Liu, Kaishen Yuan +5
cs.CVcs.LGarXiv:2609.34742v12026
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song +4
cs.CLcs.AIarXiv:2406.04614v12024
Survey on Improved Scheduling in Hadoop MapReduce in Cloud Environments
B. Thirumala Rao, L. S. S. Reddy
cs.DCarXiv:1207.0780v12012
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play
Shi Feng, Jordan Boyd-Graber
cs.AIarXiv:1810.09648v32018
Human Gaussian Splatting: Real-time Rendering of Animatable Avatars
Arthur Moreau, Jifei Song, Helisa Dhamo +3
cs.CVcs.GRarXiv:2311.17113v22023
N\"urnberg NLP at ChildSafeAds 2026: Structurally Dissimilar Voter Ensembles under Four Levels of Data Access
Philipp Steigerwald, Eric Rudolph, Jens Albrecht
cs.CLcs.LGarXiv:2609.34986v12026
Scaling Laws of Synthetic Data for Language Models
Zeyu Qin, Qingxiu Dong, Xingxing Zhang +10
cs.CLcs.AIarXiv:2503.19551v32025
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering
Sabrina Chiesurin, Dimitris Dimakopoulos, Marco Antonio Sobrevilla Cabezudo +4
cs.CLarXiv:2305.16519v12023
Benchmarking Linguistic Diversity of Large Language Models
Yanzhu Guo, Guokan Shang, Chloé Clavel
cs.CLarXiv:2412.10271v22024
Evaluating Scoring Bias in LLM-as-a-Judge
Qingquan Li, Shaoyu Dou, Kailai Shao +2
cs.CLarXiv:2506.22316v42025
How Generative AI supports human in conceptual design
Liuging Chen, Yaxuan Song, Jia Guo +3
cs.HCarXiv:2502.00283v12025
Learning Sensor Multiplexing Design through Back-propagation
Ayan Chakrabarti
cs.LGstat.MLarXiv:1605.07078v22016
VNF Placement with Replication for Load Balancing in NFV Networks
Francisco Carpio, Samia Dhahri, Admela Jukan
cs.NIarXiv:1610.08266v12016
On the Effectiveness of Low Frequency Perturbations
Yash Sharma, Gavin Weiguang Ding, Marcus Brubaker
cs.CVcs.CRcs.LGarXiv:1903.00073v22019
Almieyar: A Culturally Grounded Benchmark for Multi-Dialect Arabic Speech Recognition
Omid Ghahroodi, Anas Madkoor, Dima Faris Al Saudi +37
cs.CLcs.AIarXiv:2609.35564v12026
ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild
Yongxiang Liu, Weijie Li, Li Liu +8
cs.CVarXiv:2501.13354v62025
OpenAI's Approach to External Red Teaming for AI Models and Systems
Lama Ahmad, Sandhini Agarwal, Michael Lampe +1
cs.CYcs.AIcs.CRarXiv:2503.16431v12025
Deep Convolutional Neural Network with Mixup for Environmental Sound Classification
Zhichao Zhang, Shugong Xu, Shan Cao +1
cs.SDeess.ASarXiv:1808.08405v12018
TRACE: Expert-Aligned ECG Representation Learning with Rigorous Benchmarking and Real-World Validation in Acute Cardiac Care
Lovely Yeswanth Panchumarthi, Andrew Lu, Saurabh Kataria +11
cs.LGcs.AIarXiv:2609.34088v12026
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems
Donghyun Lee, Mo Tiwari
cs.MAcs.AIcs.CRarXiv:2410.07283v12024
Pre-Trained Video Generative Models as World Simulators
Haoran He, Yang Zhang, Liang Lin +2
cs.CVcs.AIarXiv:2502.07825v12025
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models
Wufei Ma, Luoxin Ye, Celso M de Melo +2
cs.CVarXiv:2505.00788v32025
Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection
Mazin Hnewa, Hayder Radha
cs.CVarXiv:2106.01483v22021
X-Reset: Scaling Object-Centric Reinforcement Learning via Cross-Embodiment Resets
Prithwish Dan, Chenyang Ma, Wei Zhan
cs.LGcs.AIcs.ROarXiv:2609.35715v12026
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
Stephan Patrick Baller, Anshul Jindal, Mohak Chadha +1
cs.AIcs.DCarXiv:2108.09457v12021
Where Does the Energy Go? Profiling LLM Agent Inference on Blackwell GPUs
Qi Luo, Kunlin Li, Ziwen Wang +1
cs.DCarXiv:2609.29707v12026
Object Detection with Multimodal Large Vision-Language Models: An In-depth Review
Ranjan Sapkota, Manoj Karkee
cs.CVcs.AIcs.CLarXiv:2508.19294v22025
We don't need no bounding-boxes: Training object class detectors using only human verification
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller +1
cs.CVarXiv:1602.08405v32016
Neural system identification for large populations separating "what" and "where"
David A. Klindt, Alexander S. Ecker, Thomas Euler +1
stat.MLcs.LGq-bio.NCarXiv:1711.02653v22017
Deception and Communication in Autonomous Multi-Agent Systems: An Experimental Study with Among Us
Maria Milkowski, Tim Weninger
cs.MAarXiv:2603.26635v12026
Code-Switching Detection with Data-Augmented Acoustic and Language Models
Emre Yılmaz, Henk van den Heuvel, David A. van Leeuwen
cs.CLarXiv:1808.00521v12018
Bathtubs, Boundaries, and Sandboxes: AI Regulatory Learning under Legal Uncertainty
Tom Deckenbrunnen, Alessio Buscemi, Marco Almada +2
cs.CYcs.AIcs.HCarXiv:2601.04094v42026
The Collective Turing Test: Large Language Models Can Generate Realistic Multi-User Discussions
Azza Bouleimen, Giordano De Marzo, Taehee Kim +5
cs.CLcs.AIcs.SIarXiv:2511.08592v12025
DSpec2Test: Specification-Driven Test Generation in Dafny
Sofia Vieira Pinto, Álvaro F. Silva, João Pascoal Faria +1
cs.SEarXiv:2609.29713v12026
M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
Lei Li, Yuwei Yin, Shicheng Li +9
cs.CVcs.CLarXiv:2306.04387v22023
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
cs.CVcs.LGstat.MLarXiv:1711.05376v22017
MemoReason: Evaluating the Effect of Parametric Memory on Contextual Reasoning in LLMs
Zineddine Tighidet, Andrea Mogini, Jiali Mei +2
cs.CLarXiv:2609.35312v12026
nnDetection: A Self-configuring Method for Medical Object Detection
Michael Baumgartner, Paul F. Jaeger, Fabian Isensee +1
eess.IVcs.CVarXiv:2106.00817v22021
Sequential knowledge editing breaks a model's ability to tell good evidence from bad, without costing it accuracy
Atul Anand
cs.AIarXiv:2609.29587v12026
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation
Gusztáv Gaál, Balázs Maga, András Lukács
eess.IVcs.CVcs.LGarXiv:2003.10304v12020
SISER: Speaker-Invariant Speech Emotion Recognition with Entropy-Based Adversarial Training
Eunseo Choi, Hyunku Kang, Chanwoo Kim
cs.SDcs.CLarXiv:2609.02941v12026
Emergent Goal-Directed Attention in Large Vision-Language Models
Han Zhang
cs.CVcs.AIcs.CLarXiv:2609.05517v12026
dApps: Distributed Applications for Real-time Inference and Control in O-RAN
Salvatore D'Oro, Michele Polese, Leonardo Bonati +2
cs.NIarXiv:2203.02370v22022
How Fast Do Agents Rot? An Empirical Study of Long-Horizon Degradation in LLM Agents for Production Decision-Making
Shubhra Mittal
physics.soc-phcs.AIarXiv:2609.01660v12026

Every paper with a summary

Empowering Intelligent Low-altitude Economy with Large AI Model Deployment

Power Transformer Health Index and Life Span Assessment: A Comprehensive Review of Conventional and Machine Learning based Approaches

A New Skill Based Robot Programming Language Using UML/P Statecharts

Prime Focus Spectrograph (PFS) for the Subaru Telescope: Overview, recent progress, and future perspectives

VLM-FO1: Bridging the Gap Between High-Level Reasoning and Fine-Grained Perception in VLMs

Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits

AgentPerfBench: A Benchmarking and Evaluation Suite for Inference Performance of Agentic LLMs

Joint Video and Text Parsing for Understanding Events and Answering Queries

BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation

Manipulate-Anything: Automating Real-World Robots using Vision-Language Models

Louder, Longer, Livelier: Acoustic Shortcuts and Underspecified Rationales in Speech LLM Judges

Deconstructing BLE Multi-hop: a Model-based Approach to Quantifying the Challenges

Socrates-RAG: Premise-Directed Inquiry against Coordinated Evidence Poisoning

Online Inference of Human Intention as a Latent Control State from Single-Trial EEG

Applying Neural Networks in Optical Communication Systems: Possible Pitfalls

Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach

Do Emotion Concepts Generalize Across Sources, Modalities, and Architectures in Vision-Language Models?

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model

Survey on Improved Scheduling in Hadoop MapReduce in Cloud Environments

What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play

Human Gaussian Splatting: Real-time Rendering of Animatable Avatars

N\"urnberg NLP at ChildSafeAds 2026: Structurally Dissimilar Voter Ensembles under Four Levels of Data Access

Scaling Laws of Synthetic Data for Language Models

The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering

Benchmarking Linguistic Diversity of Large Language Models

Evaluating Scoring Bias in LLM-as-a-Judge

How Generative AI supports human in conceptual design

Learning Sensor Multiplexing Design through Back-propagation

VNF Placement with Replication for Load Balancing in NFV Networks

On the Effectiveness of Low Frequency Perturbations

Almieyar: A Culturally Grounded Benchmark for Multi-Dialect Arabic Speech Recognition

ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild

OpenAI's Approach to External Red Teaming for AI Models and Systems

Deep Convolutional Neural Network with Mixup for Environmental Sound Classification

TRACE: Expert-Aligned ECG Representation Learning with Rigorous Benchmarking and Real-World Validation in Acute Cardiac Care

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems

Pre-Trained Video Generative Models as World Simulators

SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models

Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection

X-Reset: Scaling Object-Centric Reinforcement Learning via Cross-Embodiment Resets

DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

Where Does the Energy Go? Profiling LLM Agent Inference on Blackwell GPUs

Object Detection with Multimodal Large Vision-Language Models: An In-depth Review

We don't need no bounding-boxes: Training object class detectors using only human verification

Neural system identification for large populations separating "what" and "where"

Deception and Communication in Autonomous Multi-Agent Systems: An Experimental Study with Among Us

Code-Switching Detection with Data-Augmented Acoustic and Language Models

Bathtubs, Boundaries, and Sandboxes: AI Regulatory Learning under Legal Uncertainty

The Collective Turing Test: Large Language Models Can Generate Realistic Multi-User Discussions

DSpec2Test: Specification-Driven Test Generation in Dafny

M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

MemoReason: Evaluating the Effect of Parametric Memory on Contextual Reasoning in LLMs

nnDetection: A Self-configuring Method for Medical Object Detection

Sequential knowledge editing breaks a model's ability to tell good evidence from bad, without costing it accuracy

Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation

SISER: Speaker-Invariant Speech Emotion Recognition with Entropy-Based Adversarial Training

Emergent Goal-Directed Attention in Large Vision-Language Models

dApps: Distributed Applications for Real-time Inference and Control in O-RAN

How Fast Do Agents Rot? An Empirical Study of Long-Horizon Degradation in LLM Agents for Production Decision-Making