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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52,561 to 52,620 of 61,350

Multi-level Wavelet-CNN for Image Restoration
Pengju Liu, Hongzhi Zhang, Kai Zhang +2
cs.CVarXiv:1805.07071v22018
Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu, Zhi Tian, Bo Zhang +2
cs.CVcs.AIcs.LGarXiv:2102.10882v32021
VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?
Minkyu Kim, Sangheon Lee, Dongmin Park
cs.CVcs.AIcs.LGarXiv:2603.07888v12026
The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
Naman Goyal, Cynthia Gao, Vishrav Chaudhary +7
cs.CLcs.AIarXiv:2106.03193v12021
SlowBA: An efficiency backdoor attack towards VLM-based GUI agents
Junxian Li, Tu Lan, Haozhen Tan +2
cs.CRcs.CLcs.CVarXiv:2603.08316v32026
Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng, Mirella Lapata
cs.CLarXiv:1603.07252v32016
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
Bogdan Gliwa, Iwona Mochol, Maciej Biesek +1
cs.CLarXiv:1911.12237v22019
SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing
Xuanyi Zhou, Qiuyang Mang, Shuo Yang +7
cs.CVarXiv:2603.08982v22026
Meta-Learning: A Survey
Joaquin Vanschoren
cs.LGstat.MLarXiv:1810.03548v12018
MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
Yunfei Xie, Kevin Wang, Bobby Cheng +9
cs.AIarXiv:2603.09022v22026
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong, Tackgeun You, Suha Kwak +1
cs.CVarXiv:1502.06796v12015
XTC: Head-Aware Sampling by Excluding Top Choices
Philipp Emanuel Weidmann, Allen Roush, Judah Goldfeder +2
cs.CLcs.AIcs.LGarXiv:2608.22758v12026
RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation
Sihong Wu, Yiling Ma, Yilun Zhao +4
cs.CLcs.AIarXiv:2603.09723v22026
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
Han Liu, John Lafferty, Larry Wasserman
stat.MLarXiv:0903.0649v12009
Decentralized Computation Offloading Game For Mobile Cloud Computing
Xu Chen
cs.NIarXiv:1404.3200v52014
One-Eval: An Agentic System for Automated and Traceable LLM Evaluation
Chengyu Shen, Yanheng Hou, Minghui Pan +8
cs.CLarXiv:2603.09821v12026
DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use
Aili Chen, Chi Zhang, Junteng Liu +11
cs.AIcs.SEarXiv:2603.11076v12026
On Distillation of Guided Diffusion Models
Chenlin Meng, Robin Rombach, Ruiqi Gao +4
cs.CVcs.AIcs.LGarXiv:2210.03142v32022
Shallow-π: Knowledge Distillation for Flow-based VLAs
Boseong Jeon, Yunho Choi, Taehan Kim
cs.ROarXiv:2601.20262v12026
What Does Activation Steering Control? Attribution Across Answer Encodings and Output-Sensitive Subspaces
Zhiwei Gao, Shaowen Peng, Shoko Wakamiya +1
cs.CLarXiv:2608.22985v12026
Brevity Constraints Reverse Performance Hierarchies in Language Models
MD Azizul Hakim
cs.CLcs.AIarXiv:2604.00025v12026
TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
Alliot Nagle, Jakhongir Saydaliev, Dhia Garbaya +3
cs.LGcs.AIcs.CLarXiv:2603.12529v22026
TinyLlama: An Open-Source Small Language Model
Peiyuan Zhang, Guangtao Zeng, Tianduo Wang +1
cs.CLcs.AIarXiv:2401.02385v22024
Ex Machina: Personal Attacks Seen at Scale
Ellery Wulczyn, Nithum Thain, Lucas Dixon
cs.CLarXiv:1610.08914v22016
Persona Prompting as a Lens on LLM Social Reasoning
Jing Yang, Moritz Hechtbauer, Elisabeth Khalilov +3
cs.CLarXiv:2601.20757v12026
Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers
Wenhao Sun, Ji Li, Zhaoqiang Liu
cs.CVarXiv:2603.10744v22026
Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing
Lingkun Long, Yushi Huang, Shihao Bai +4
cs.CLarXiv:2602.02159v12026
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie, Jiatao Gu, Demi Guo +3
cs.CVarXiv:2007.10985v32020
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor, Jonathan Berant
cs.CLcs.AIcs.LGarXiv:1803.06643v12018
PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensors
Nathan Duboisset, Zhaolan Huang, Felix Bießmann +3
cs.LGcs.AIarXiv:2608.23101v12026
Interpretable Convolutional Neural Networks
Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu
cs.CVarXiv:1710.00935v42017
FASA: Frequency-aware Sparse Attention
Yifei Wang, Yueqi Wang, Zhenrui Yue +6
cs.CLarXiv:2602.03152v32026
Algorithms for nonnegative matrix factorization with the beta-divergence
Cédric Févotte, Jérôme Idier
cs.LGarXiv:1010.1763v32010
Trust in AI and Its Role in the Acceptance of AI Technologies
Hyesun Choung, Prabu David, Arun Ross
cs.AIcs.HCarXiv:2203.12687v12022
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen, Paul Morrison, Lan Dao +3
q-bio.QMcs.CVcs.LGarXiv:2006.11988v32020
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xiangyu Zhang, Jianhua Zou, Kaiming He +1
cs.CVcs.LGcs.NEarXiv:1505.06798v22015
Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training
Fangfu Liu, Diankun Wu, Jiawei Chi +7
cs.CVcs.LGarXiv:2603.12255v12026
Future Querying: Can LLMs Serve as Implicit Medical World Models?
Siri Willems, James Butterworth, Lore Goetschalckx +4
cs.CLcs.AIarXiv:2608.23248v12026
iDLG: Improved Deep Leakage from Gradients
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
cs.LGstat.MLarXiv:2001.02610v12020
Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
Haitao Jiang, Wenbo Zhang, Jiarui Yao +3
cs.AIcs.CLarXiv:2603.13985v12026
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal +1
cs.LGcs.CVcs.ROarXiv:1910.05449v12019
DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications
Ahmed Alkhateeb
cs.ITeess.SParXiv:1902.06435v12019
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
Ziwen Xu, Chenyan Wu, Hengyu Sun +9
cs.CLcs.AIcs.CVarXiv:2602.02343v32026
Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents
Nikhil Sharma, Zheng Zhang, Daniel Lee +4
cs.HCarXiv:2602.01405v12026
ATLAS: A High-Cadence All-Sky Survey System
J. L. Tonry, L. Denneau, A. N. Heinze +6
astro-ph.IMarXiv:1802.00879v22018
SuperMap: A Spatio-Temporal SLAM System for Visual-Language Navigation
Shibo Zhao, Guofei Chen, Honghao Zhu +7
cs.ROarXiv:2608.22896v12026
First Results from the Catalina Real-time Transient Survey
A. J. Drake, S. G. Djorgovski, A. Mahabal +10
astro-pharXiv:0809.1394v22008
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen, Liang Sun, Fan Yang +4
cs.LGeess.SPstat.MLarXiv:2002.12478v42020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
Ehsan Kharazmi, Zhongqiang Zhang, George Em Karniadakis
cs.NEcs.LGmath.NAarXiv:2003.05385v12020
MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
Shengyuan Liu, Liuxin Bao, Qi Yang +6
cs.CVcs.AIarXiv:2602.03320v12026
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Jiaming Han, Jian Ding, Nan Xue +1
cs.CVarXiv:2103.07733v12021
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
Zetong Yang, Yanan Sun, Shu Liu +2
cs.CVarXiv:1907.10471v12019
Revisiting Diffusion Model Predictions Through Dimensionality
Qing Jin, Chaoyang Wang
cs.LGcs.CVarXiv:2601.21419v22026
Revisiting Distributed Synchronous SGD
Jianmin Chen, Xinghao Pan, Rajat Monga +2
cs.LGcs.DCcs.NEarXiv:1604.00981v32016
CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance
Hanyang Wang, Yiyang Liu, Jiawei Chi +3
cs.CVcs.LGarXiv:2603.03281v22026
Automated Construction of FAIR Digital Object Knowledge Graphs from Flat Cultural Heritage Records
Zeyd Boukhers, Lingxiao Kong, Xenophon Zabulis +1
cs.AIcs.CLcs.DLarXiv:2608.23263v12026
Learning Representations for Counterfactual Inference
Fredrik D. Johansson, Uri Shalit, David Sontag
stat.MLcs.AIcs.LGarXiv:1605.03661v32016
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
Li Hu, Xin Gao, Peng Zhang +3
cs.CVarXiv:2311.17117v32023
EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models
Xuanlang Dai, Yujie Zhou, Long Xing +6
cs.CVcs.CLarXiv:2603.12252v42026
Towards Automated Cyber Threat Intelligence Elicitation in Underground Forums
Lorenzo Bossi, Federico Saccani, Francesco Panebianco +4
cs.CRarXiv:2608.23185v12026

Every paper with a summary

Multi-level Wavelet-CNN for Image Restoration

Conditional Positional Encodings for Vision Transformers

VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

SlowBA: An efficiency backdoor attack towards VLM-based GUI agents

Neural Summarization by Extracting Sentences and Words

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing

Meta-Learning: A Survey

MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network

XTC: Head-Aware Sampling by Excluding Top Choices

RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation

The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs

Decentralized Computation Offloading Game For Mobile Cloud Computing

One-Eval: An Agentic System for Automated and Traceable LLM Evaluation

DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use

On Distillation of Guided Diffusion Models

Shallow-π: Knowledge Distillation for Flow-based VLAs

What Does Activation Steering Control? Attribution Across Answer Encodings and Output-Sensitive Subspaces

Brevity Constraints Reverse Performance Hierarchies in Language Models

TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning

TinyLlama: An Open-Source Small Language Model

Ex Machina: Personal Attacks Seen at Scale

Persona Prompting as a Lens on LLM Social Reasoning

Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers

Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

The Web as a Knowledge-base for Answering Complex Questions

PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensors

Interpretable Convolutional Neural Networks

FASA: Frequency-aware Sparse Attention

Algorithms for nonnegative matrix factorization with the beta-divergence

Trust in AI and Its Role in the Acceptance of AI Technologies

COVID-19 Image Data Collection: Prospective Predictions Are the Future

Accelerating Very Deep Convolutional Networks for Classification and Detection

Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training

Future Querying: Can LLMs Serve as Implicit Medical World Models?

iDLG: Improved Deep Leakage from Gradients

Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents

ATLAS: A High-Cadence All-Sky Survey System

SuperMap: A Spatio-Temporal SLAM System for Visual-Language Navigation

First Results from the Catalina Real-time Transient Survey

Time Series Data Augmentation for Deep Learning: A Survey

hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition

MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

ReDet: A Rotation-equivariant Detector for Aerial Object Detection

STD: Sparse-to-Dense 3D Object Detector for Point Cloud

Revisiting Diffusion Model Predictions Through Dimensionality

Revisiting Distributed Synchronous SGD

CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance

Automated Construction of FAIR Digital Object Knowledge Graphs from Flat Cultural Heritage Records

Learning Representations for Counterfactual Inference

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models

Towards Automated Cyber Threat Intelligence Elicitation in Underground Forums