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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54,001 to 54,060 of 61,306

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke, Melissa Greeff, Adam W. Hall +4
cs.ROcs.LGeess.SYarXiv:2108.06266v22021
LHMCF-Net: A Learned Hyperbolic Mean Curvature Flow Network for Medical Images Segmentation
Shuangshuang Duan, Chunlei He, Shoujun Huang +1
cs.CVmath-pharXiv:2608.20942v12026
GEMS: Agent-Native Multimodal Generation with Memory and Skills
Zefeng He, Siyuan Huang, Xiaoye Qu +4
cs.CVarXiv:2603.28088v12026
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang +4
cs.CVarXiv:1511.06645v22015
RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
Xiaoying Zhang, Zichen Liu, Yipeng Zhang +2
cs.AIarXiv:2603.08561v62026
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen, Xiao Wang, Soravit Changpinyo +26
cs.CVcs.CLarXiv:2209.06794v42022
Robust Aggregation for Federated Learning
Krishna Pillutla, Sham M. Kakade, Zaid Harchaoui
stat.MLcs.CRcs.LGarXiv:1912.13445v22019
Shortcut Learning in a Public Grape Disease Dataset: Annotation Granularity as a Modulator, Not a Cause
Pushuo Wang
cs.CVarXiv:2608.20663v12026
Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline
Guo Chen, Lidong Lu, Yicheng Liu +17
cs.CVarXiv:2603.05484v12026
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kryściński, Bryan McCann, Caiming Xiong +1
cs.CLarXiv:1910.12840v12019
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Frederick A Matsen, Robin B Kodner, E Virginia Armbrust
q-bio.PEq-bio.GNarXiv:1003.5943v12010
IMU-Free Body-Frame State Estimation with Sparse Scene Flow for Quadcopters
Daniel Grønhaug, Sofie Markeset, Mathias Kolberg
cs.ROcs.CVarXiv:2608.20891v12026
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li +3
eess.IVcs.CVcs.LGarXiv:1908.10454v22019
Noisy Networks for Exploration
Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot +9
cs.LGstat.MLarXiv:1706.10295v32017
Inductive Representation Learning on Temporal Graphs
Da Xu, Chuanwei Ruan, Evren Korpeoglu +2
cs.LGstat.MLarXiv:2002.07962v12020
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim
eess.AScs.LGcs.SDarXiv:1910.11480v22019
Gibson Env: Real-World Perception for Embodied Agents
Fei Xia, Amir Zamir, Zhi-Yang He +3
cs.AIcs.CVcs.GRarXiv:1808.10654v12018
Forest Before Trees: Latent Superposition for Efficient Visual Reasoning
Yubo Wang, Juntian Zhang, Yichen Wu +3
cs.CLcs.CVarXiv:2601.06803v22026
SLA2: Sparse-Linear Attention with Learnable Routing and QAT
Jintao Zhang, Haoxu Wang, Kai Jiang +6
cs.LGcs.AIcs.CVarXiv:2602.12675v12026
Convolutional Social Pooling for Vehicle Trajectory Prediction
Nachiket Deo, Mohan M. Trivedi
cs.CVarXiv:1805.06771v12018
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
Jintao Zhang, Kai Jiang, Chendong Xiang +5
cs.CVcs.LGarXiv:2602.13515v12026
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Wang Ling, Dani Yogatama, Chris Dyer +1
cs.AIcs.CLcs.LGarXiv:1705.04146v32017
Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis
Darshan Deshpande, Anand Kannappan, Rebecca Qian
cs.SEcs.AIcs.LGarXiv:2601.20103v12026
Identification of slow molecular order parameters for Markov model construction
Guillermo Perez-Hernandez, Fabian Paul, Toni Giorgino +2
physics.chem-phq-bio.BMarXiv:1302.6614v12013
MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
Yaorui Shi, Shugui Liu, Yu Yang +7
cs.AIarXiv:2601.21468v52026
TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models
Fangxu Yu, Xingang Guo, Lingzhi Yuan +6
cs.AIcs.LGarXiv:2601.18744v22026
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li +1
cs.CLcs.AIarXiv:2210.03493v12022
Temporal Risk on Satellites
Shiqi Liu, Kun Sun
cs.CRarXiv:2608.20575v12026
Event-Time Confounding Under Bursty Human Dynamics
Michael Iannelli, Alan Ai
cs.HCstat.MEarXiv:2608.21294v12026
$V_1$: Unifying Generation and Self-Verification for Parallel Reasoners
Harman Singh, Xiuyu Li, Kusha Sareen +14
cs.CLarXiv:2603.04304v12026
ERNIE: Enhanced Representation through Knowledge Integration
Yu Sun, Shuohuan Wang, Yukun Li +7
cs.CLarXiv:1904.09223v12019
MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation
Yang Liu, Pengxiang Ding, Tengyue Jiang +10
cs.ROarXiv:2603.25406v32026
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You, Rex Ying, Xiang Ren +2
cs.LGcs.AIcs.SIarXiv:1802.08773v32018
The Substitution Escrow Threshold: When "Compatible With" Becomes Safe Enough to Buy
Amadeus Brandes
cs.SEcs.CYarXiv:2608.21221v12026
Reasoning Models Struggle to Control their Chains of Thought
Chen Yueh-Han, Robert McCarthy, Bruce W. Lee +5
cs.AIarXiv:2603.05706v12026
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon, Eran Yahav
cs.LGstat.MLarXiv:2006.05205v42020
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov, Victor Lempitsky
cs.CVarXiv:1704.01222v22017
Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
Haocheng Xi, Shuo Yang, Yilong Zhao +13
cs.LGarXiv:2602.02958v52026
Baichuan 2: Open Large-scale Language Models
Aiyuan Yang, Bin Xiao, Bingning Wang +52
cs.CLarXiv:2309.10305v42023
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson, Jonas Mueller, Alexander Shirkov +4
stat.MLcs.LGarXiv:2003.06505v12020
Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI
Shiva Shrestha, Zongxing Xie, Chen Zhao +3
cs.CVcs.CRarXiv:2608.21133v12026
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
José Miguel Hernández-Lobato, Ryan P. Adams
stat.MLarXiv:1502.05336v22015
LoopViT: Scaling Visual ARC with Looped Transformers
Wen-Jie Shu, Xuerui Qiu, Rui-Jie Zhu +3
cs.CVarXiv:2602.02156v12026
Semantically Compatible Knowledge Distillation for Cross-Domain Object Detection with Vision Foundation Models
Qifeng Zhang, Ting Xiang, Zeyuan Bai +1
cs.CVarXiv:2608.20916v12026
SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training
Huatong Song, Lisheng Huang, Shuang Sun +11
cs.SEcs.CLarXiv:2602.03411v22026
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves +1
cs.CLcs.SIarXiv:2010.12421v22020
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
Changdae Oh, Seongheon Park, To Eun Kim +8
cs.AIarXiv:2602.05073v32026
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
Jun Han, Shuo Zhang, Wei Li +14
q-fin.STcs.AIq-fin.CParXiv:2602.07085v32026
ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training
Dunwei Tu, Hongyan Hao, Hansi Yang +10
cs.AIarXiv:2602.06820v12026
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan, Mingxia Liu
cs.CVcs.LGeess.IVarXiv:2102.09508v12021
Uniform Uncertainty Principle and signal recovery via Regularized Orthogonal Matching Pursuit
Deanna Needell, Roman Vershynin
math.NAarXiv:0707.4203v42007
Logic-VLA: A Temporal Logic Conditioned Vision-Language-Action Model
Celina Shiyu Wang, Yiqi Zhao, Junjie Ye +2
cs.ROcs.LOeess.SYarXiv:2608.20556v12026
Humanoid Musical Robots as Experimental Interfaces for Music-Evoked Emotion
Vincent K. M. Cheung, Jia-Yeu Lin
cs.ROcs.HCcs.MMarXiv:2608.20433v12026
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
Seth Karten, Jake Grigsby, Tersoo Upaa +28
cs.LGcs.AIarXiv:2603.15563v22026
Frozen CLIP Priors for Robust Self-Supervised Poisson Inverse Problems
Laura C. Diaz-Delgado, Emmanuel Martinez, Henry Arguello
eess.IVcs.CVarXiv:2608.20524v12026
InfoNCE Induces Gaussian Distribution
Roy Betser, Eyal Gofer, Meir Yossef Levi +1
cs.LGeess.SParXiv:2602.24012v22026
The Coastline as a Structural Constraint: Harnessing Scene Geometry for Autonomous Surface Vessel Localization
Derek R. Benham, Joshua G. Mangelson
cs.ROcs.CVarXiv:2608.21276v12026
Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously
Yiran Guan, Liang Yin, Dingkang Liang +5
cs.CVarXiv:2603.12262v22026
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes +3
cs.LGstat.MLarXiv:1812.05159v32018
4RC: 4D Reconstruction via Conditional Querying Anytime and Anywhere
Yihang Luo, Shangchen Zhou, Yushi Lan +2
cs.CVarXiv:2602.10094v22026

Every paper with a summary

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

LHMCF-Net: A Learned Hyperbolic Mean Curvature Flow Network for Medical Images Segmentation

GEMS: Agent-Native Multimodal Generation with Memory and Skills

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

PaLI: A Jointly-Scaled Multilingual Language-Image Model

Robust Aggregation for Federated Learning

Shortcut Learning in a Public Grape Disease Dataset: Annotation Granularity as a Modulator, Not a Cause

Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline

Evaluating the Factual Consistency of Abstractive Text Summarization

pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree

IMU-Free Body-Frame State Estimation with Sparse Scene Flow for Quadcopters

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation

Noisy Networks for Exploration

Inductive Representation Learning on Temporal Graphs

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

Gibson Env: Real-World Perception for Embodied Agents

Forest Before Trees: Latent Superposition for Efficient Visual Reasoning

SLA2: Sparse-Linear Attention with Learnable Routing and QAT

Convolutional Social Pooling for Vehicle Trajectory Prediction

SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning

Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis

Identification of slow molecular order parameters for Markov model construction

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning

TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models

Automatic Chain of Thought Prompting in Large Language Models

Temporal Risk on Satellites

Event-Time Confounding Under Bursty Human Dynamics

$V_1$: Unifying Generation and Self-Verification for Parallel Reasoners

ERNIE: Enhanced Representation through Knowledge Integration

MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

The Substitution Escrow Threshold: When "Compatible With" Becomes Safe Enough to Buy

Reasoning Models Struggle to Control their Chains of Thought

On the Bottleneck of Graph Neural Networks and its Practical Implications

Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models

Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization

Baichuan 2: Open Large-scale Language Models

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI

Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks

LoopViT: Scaling Visual ARC with Looped Transformers

Semantically Compatible Knowledge Distillation for Cross-Domain Object Detection with Vision Foundation Models

SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training

TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities

QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining

ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training

Domain Adaptation for Medical Image Analysis: A Survey

Uniform Uncertainty Principle and signal recovery via Regularized Orthogonal Matching Pursuit

Logic-VLA: A Temporal Logic Conditioned Vision-Language-Action Model

Humanoid Musical Robots as Experimental Interfaces for Music-Evoked Emotion

The PokeAgent Challenge: Competitive and Long-Context Learning at Scale

Frozen CLIP Priors for Robust Self-Supervised Poisson Inverse Problems

InfoNCE Induces Gaussian Distribution

The Coastline as a Structural Constraint: Harnessing Scene Geometry for Autonomous Surface Vessel Localization

Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously

An Empirical Study of Example Forgetting during Deep Neural Network Learning

4RC: 4D Reconstruction via Conditional Querying Anytime and Anywhere