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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57,781 to 57,840 of 61,351

Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch, Abhinav Gupta, Alexei A. Efros
cs.CVarXiv:1505.05192v32015
Evaluating Music Context Preservation: A Multi-facet Framework for Music Editing Systems
Yash Vishe, Eric Xue, Xunyi Jiang +4
cs.SDcs.AIarXiv:2512.14629v22025
Cyclical Learning Rates for Training Neural Networks
Leslie N. Smith
cs.CVcs.LGcs.NEarXiv:1506.01186v62015
$τ_0$-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation
Xiaowei Cai, Yunuo Cai, Bingao Chen +36
cs.ROarXiv:2608.16885v12026
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich, Barry Haddow, Alexandra Birch
cs.CLarXiv:1511.06709v42015
PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents
Seongjae Kang, Taehyung Yu, Sung Ju Hwang
cs.AIcs.CLcs.LGarXiv:2608.19861v12026
Session-based Recommendations with Recurrent Neural Networks
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas +1
cs.LGcs.IRcs.NEarXiv:1511.06939v42015
FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills
Zeyu Ren, Ling Yue, Ran Li +5
cs.AIarXiv:2607.21596v22026
PaLM-E: An Embodied Multimodal Language Model
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi +19
cs.LGcs.AIcs.ROarXiv:2303.03378v12023
EXIMO: VLM Guided Exploration of VLA Policies
Bhavya Sukhija, Oliver Groth, Mohit Shridhar +5
cs.AIarXiv:2608.19891v12026
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia, Xiang Bai, Jian Ding +6
cs.CVarXiv:1711.10398v32017
Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners
Umberto Cappellazzo, Xubo Liu, Stavros Petridis +1
eess.AScs.AIcs.SDarXiv:2608.19863v12026
Cross-lingual Language Model Pretraining
Guillaume Lample, Alexis Conneau
cs.CLarXiv:1901.07291v12019
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Avinava Dubey +8
cs.LGcs.CLstat.MLarXiv:2007.14062v22020
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Amir Shahroudy, Jun Liu, Tian-Tsong Ng +1
cs.CVarXiv:1604.02808v12016
FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving
Qihang Fan, Huaibo Huang, Zhiying Wu +2
cs.CLarXiv:2608.19758v12026
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Nikolaus Mayer, Eddy Ilg, Philip Häusser +4
cs.CVcs.LGstat.MLarXiv:1512.02134v12015
A Survey on Multi-Task Learning
Yu Zhang, Qiang Yang
cs.LGcs.AIarXiv:1707.08114v32017
Fine-Grained Visual Classification of Aircraft
Subhransu Maji, Esa Rahtu, Juho Kannala +2
cs.CVarXiv:1306.5151v12013
SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?
Zhipeng Xu, Jiahao Lu, Yining Zheng +2
cs.CLcs.SEarXiv:2608.19799v12026
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi, Mostofa Patwary, Raul Puri +3
cs.CLarXiv:1909.08053v42019
Locating and Editing Factual Associations in GPT
Kevin Meng, David Bau, Alex Andonian +1
cs.CLcs.LGarXiv:2202.05262v52022
WithEveryone: Unified Planning and Identity Grounding for Group Image Generation
Hengyuan Xu, Qixun Wang, Yiji Cheng +5
cs.CVarXiv:2608.20336v12026
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang, Xinggang Wang, Yunchao Wei +4
cs.CVarXiv:1811.11721v22018
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager, Susan Athey
stat.MEmath.STstat.MLarXiv:1510.04342v42015
Summaries:한국어
FLOPs vs Real Work: The Importance of Replication in AI Efficiency Assessment
Enrique Barba Roque, Luís Cruz
cs.AIcs.PFarXiv:2608.14550v12026
Self-Evolving Visual Questioner
Yijun Liang, Hengguang Zhou, Ming Li +3
cs.CVcs.LGarXiv:2606.13929v12026
MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations
Qiming Shi, Yulong Tao, Linbo Jin +10
cs.AIarXiv:2607.28956v22026
The Authority Resolution Framework: A Five-Domain Ontology for Governing Who and What Decides, at Scale
Parviz Shariff
cs.AIarXiv:2608.15832v12026
A survey of cross-validation procedures for model selection
Sylvain Arlot, Alain Celisse
math.STstat.APstat.MEarXiv:0907.4728v12009
Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning
Mena Attia, Mona Diab, Thamar Solorio
cs.CLarXiv:2608.18361v12026
Privacy-Preserving Dataset Curation for Kuala Lumpur Urban Traffic: Grounded Vision-Language Detection with Spatial Vehicle-Context Filtering
Mohammed Abdul Al Arafat Tanzin, Rudzidatul Akmam Dziyauddin
cs.CVcs.AIcs.LGarXiv:2608.14724v12026
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard, Menglong Zhu, Bo Chen +5
cs.CVarXiv:1704.04861v12017
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn, Anthony Brohan, Noah Brown +42
cs.ROcs.CLcs.LGarXiv:2204.01691v22022
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay, Jo Schlemper, Loic Le Folgoc +9
cs.CVarXiv:1804.03999v32018
What Makes Software Issue Resolution Tasks Difficult for Agents?
Ebtesam Al-Haque, Brittany Johnson
cs.SEcs.AIcs.CLarXiv:2608.18280v12026
ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
Ruofeng Yang, Yongcan Li, Shuai Li
cs.SEcs.AIarXiv:2605.03042v12026
A Pre-Specified Construction-Confirmation Test of Operation-Level Causal Transfer Across Finite Isomorphic Symbolic Domains
Xinyi Shan
cs.LGarXiv:2608.15809v12026
Towards a Physics Foundation Model
Florian Wiesner, Zoë J. Gray, Matthias Wessling +1
cs.LGcs.AIstat.MLarXiv:2509.13805v42025
LUNG-KGMM: Knowledge-Guided Multimodal Learning for Lung Cancer Incidence Prediction
Chunlei Yang, Shuyan Li, Zhong Cao
cs.LGcs.CVarXiv:2608.14657v12026
Summaries:한국어
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
cs.CVarXiv:1610.02357v32016
When Single-Dataset Conclusions Fail: A 45-Task Study of Threshold Tuning and Resampling for Imbalanced Classification
Diyorbek Musaev
cs.AIcs.LGarXiv:2608.16147v12026
Summaries:한국어
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Weixin Liang, Yuhui Zhang, Yongchan Kwon +2
cs.CLcs.AIcs.CVarXiv:2203.02053v22022
Summaries:한국어
Proactive Road Safety Intervention in Australia: Predicting Risky Driving Hotspots from Connected Vehicle Data
Adriana-Simona Mihăiţă, Clarence Cheung, Artur Grigorev +2
cs.LGcs.CYarXiv:2608.16913v12026
Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models
Aswin RRV, Jacob Dineen, Divij Handa +4
cs.AIarXiv:2605.08472v12026
Can LLMs Introspect? A Reality Check
Shashwat Singh, Tal Linzen, Shauli Ravfogel
cs.AIarXiv:2605.26242v12026
Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
Ciara Rowles, Reshinth Adithyan, Nikhil Pinnaparaju +2
cs.CVarXiv:2605.30257v12026
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer +6
cs.LGcs.NEarXiv:1703.05051v52017
The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim +133
astro-ph.IMarXiv:2206.14220v12022
Skill Blocks: How Should an Agent Load Its Skill? A Caching-Correct Comparison of Pre-load, On-Demand Tool-Loading, Progressive Disclosure, and Hybrid
Hironobu Nakasuji
cs.AIarXiv:2608.14943v12026
MemFuse: Multi-Source Memory Fusion from Fragmented Observations
Chao Li, Yuanfa Li, Wenhao Wu +3
cs.CLcs.AIarXiv:2608.18704v12026
GRNEdit: Efficient General Video Editing from a New Binary-Evidence Perspective in Generative Refinement Networks
Feng Xie, Jiagao Hu, Fuhao Li +5
cs.CVarXiv:2608.16328v12026
ASI-Bench: At the Dawn of Artificial Superintelligence
Junwei Zhou, Zhen Sun, Binyu Li +39
cs.AIarXiv:2608.17271v12026
Summaries:한국어
$R^3$-Bench: LLMs Struggle with Resource-Rational Reasoning under Shared Budgets
Peisong Wang, Zhiwei Ma, Bowen Liu +6
cs.CLarXiv:2608.16033v12026
Summaries:한국어
Token Distribution versus Data Volume: Domain Balancing in Multi-Domain Meeting Summarisation
Ashima Sood, Bryan Gardiner, Joan Condell
cs.CLarXiv:2608.15935v12026
Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification
Chunyu Qi, Zhuoran Song, Jian Weng +6
cs.ROcs.AIarXiv:2608.15636v12026
VideoGAIA: A Benchmark for General AI Assistants on Agentic Video Understanding
Fan Zhang, Guangming Yao, Jinyang Wu +6
cs.CVcs.CLarXiv:2608.14718v12026
PACE-Bench: Benchmarking Physics Adaptation via Code Evolution in Dynamic Environments
Yuhao Zhan, Bingxiang He, Zecong Tang +1
cs.AIarXiv:2608.14441v12026
MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement
Lushi Pu, Weiming Zhang, Xinheng Xie +7
cs.AIcs.CLarXiv:2608.14221v12026
MirrorWorld: Taming Video Diffusion Models for Mirror Reflection Generation
Youjun Zhao, Alex Warren, Gary K. L. Tam +1
cs.CVcs.LGarXiv:2608.07463v12026

Every paper with a summary

Unsupervised Visual Representation Learning by Context Prediction

Evaluating Music Context Preservation: A Multi-facet Framework for Music Editing Systems

Cyclical Learning Rates for Training Neural Networks

$τ_0$-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation

Improving Neural Machine Translation Models with Monolingual Data

PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents

Session-based Recommendations with Recurrent Neural Networks

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills

PaLM-E: An Embodied Multimodal Language Model

EXIMO: VLM Guided Exploration of VLA Policies

DOTA: A Large-scale Dataset for Object Detection in Aerial Images

Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners

Cross-lingual Language Model Pretraining

Big Bird: Transformers for Longer Sequences

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

A Survey on Multi-Task Learning

Fine-Grained Visual Classification of Aircraft

SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Locating and Editing Factual Associations in GPT

WithEveryone: Unified Planning and Identity Grounding for Group Image Generation

CCNet: Criss-Cross Attention for Semantic Segmentation

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

FLOPs vs Real Work: The Importance of Replication in AI Efficiency Assessment

Self-Evolving Visual Questioner

MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations

The Authority Resolution Framework: A Five-Domain Ontology for Governing Who and What Decides, at Scale

A survey of cross-validation procedures for model selection

Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning

Privacy-Preserving Dataset Curation for Kuala Lumpur Urban Traffic: Grounded Vision-Language Detection with Spatial Vehicle-Context Filtering

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Attention U-Net: Learning Where to Look for the Pancreas

What Makes Software Issue Resolution Tasks Difficult for Agents?

ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration

A Pre-Specified Construction-Confirmation Test of Operation-Level Causal Transfer Across Finite Isomorphic Symbolic Domains

Towards a Physics Foundation Model

LUNG-KGMM: Knowledge-Guided Multimodal Learning for Lung Cancer Incidence Prediction

Xception: Deep Learning with Depthwise Separable Convolutions

When Single-Dataset Conclusions Fail: A 45-Task Study of Threshold Tuning and Resampling for Imbalanced Classification

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

Proactive Road Safety Intervention in Australia: Predicting Risky Driving Hotspots from Connected Vehicle Data

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models

Can LLMs Introspect? A Reality Check

Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning

Deep learning with convolutional neural networks for EEG decoding and visualization

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

Skill Blocks: How Should an Agent Load Its Skill? A Caching-Correct Comparison of Pre-load, On-Demand Tool-Loading, Progressive Disclosure, and Hybrid

MemFuse: Multi-Source Memory Fusion from Fragmented Observations

GRNEdit: Efficient General Video Editing from a New Binary-Evidence Perspective in Generative Refinement Networks

ASI-Bench: At the Dawn of Artificial Superintelligence

$R^3$-Bench: LLMs Struggle with Resource-Rational Reasoning under Shared Budgets

Token Distribution versus Data Volume: Domain Balancing in Multi-Domain Meeting Summarisation

Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification

VideoGAIA: A Benchmark for General AI Assistants on Agentic Video Understanding

PACE-Bench: Benchmarking Physics Adaptation via Code Evolution in Dynamic Environments

MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement

MirrorWorld: Taming Video Diffusion Models for Mirror Reflection Generation