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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20,581 to 20,640 of 61,304

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
Gaojie Lin, Jianwen Jiang, Jiaqi Yang +2
cs.CVarXiv:2502.01061v32025
Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures
Jaee Ponde, Roshni Agarwal, Subhashis Banerjee
cs.LGcs.AIarXiv:2609.00764v12026
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
Sameera Ramasinghe, Simon Lucey
cs.LGarXiv:2111.15135v22021
TempFlow-GRPO: When Timing Matters for GRPO in Flow Models
Xiaoxuan He, Siming Fu, Yuke Zhao +5
cs.CVarXiv:2508.04324v42025
Medical Hallucinations in Foundation Models and Their Impact on Healthcare
Yubin Kim, Hyewon Jeong, Shan Chen +24
cs.CLcs.AIcs.CYarXiv:2503.05777v22025
Street Scene: A new dataset and evaluation protocol for video anomaly detection
Bharathkumar Ramachandra, Michael Jones
cs.CVarXiv:1902.05872v32019
MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI
Laura Ibáñez-Martínez, Roser Batlle-Roca, Xavier Serra +1
cs.SDcs.AIcs.CYarXiv:2608.30940v12026
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
Xiaosong Jia, Junqi You, Zhiyuan Zhang +1
cs.LGcs.CVcs.ROarXiv:2503.07656v22025
A Richly Annotated Dataset for Pedestrian Attribute Recognition
Dangwei Li, Zhang Zhang, Xiaotang Chen +2
cs.CVarXiv:1603.07054v32016
Line-profile tomography of exoplanet transits -- II. A gas-giant planet transiting a rapidly-rotating A5 star
A. Collier Cameron, E. Guenther, B. Smalley +16
astro-ph.EParXiv:1004.4551v12010
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving
Zebin Xing, Xingyu Zhang, Yang Hu +5
cs.CVarXiv:2503.05689v62025
Alleviating Over-segmentation Errors by Detecting Action Boundaries
Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki +1
cs.CVarXiv:2007.06866v12020
Natural Image Matting via Guided Contextual Attention
Yaoyi Li, Hongtao Lu
cs.CVarXiv:2001.04069v12020
Unifying Conformal Language Tasks with In-Context Ensembles
Xiao Shi Huang, Chen-Yuan Lin, Bruce Kuwahara +2
cs.CLcs.LGstat.MLarXiv:2609.03005v12026
Roadmap on Atomtronics: State of the art and perspective
L. Amico, M. Boshier, G. Birkl +56
cond-mat.quant-gasquant-pharXiv:2008.04439v52020
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Shaoyuan Xie, Lingdong Kong, Yuhao Dong +5
cs.CVcs.ROarXiv:2501.04003v12025
Temporal-Relational CrossTransformers for Few-Shot Action Recognition
Toby Perrett, Alessandro Masullo, Tilo Burghardt +2
cs.CVarXiv:2101.06184v32021
The Geometry of Ignorance: LLMs Know When to Temper Bayesian Priors
Toni J. B. Liu, Jiajun Bao, Yizhou Liu +4
cs.LGcs.AIcs.CLarXiv:2609.02959v12026
Adaptive multiscale model reduction with Generalized Multiscale Finite Element Methods
Eric Chung, Yalchin Efendiev, Thomas Y. Hou
math.NAarXiv:1604.08312v12016
Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms
Emil Y. Sidky, Xiaochuan Pan, Ingrid S. Reiser +3
physics.med-pharXiv:0904.1016v12009
PixelDiT: Pixel Diffusion Transformers for Image Generation
Yongsheng Yu, Wei Xiong, Weili Nie +3
cs.CVarXiv:2511.20645v22025
PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyond
Minghua Liu, Mikaela Angelina Uy, Donglai Xiang +4
cs.CVarXiv:2504.11451v12025
Reinforcement Learning in Economics and Finance
Arthur Charpentier, Romuald Elie, Carl Remlinger
econ.THcs.LGq-fin.CParXiv:2003.10014v12020
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
Wenxin Ma, Xu Zhang, Qingsong Yao +6
cs.CVcs.AIarXiv:2503.06661v12025
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Bang Liu, Xinfeng Li, Jiayi Zhang +45
cs.AIarXiv:2504.01990v22025
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
Fadi Alharbi, Aleksandar Vakanski
cs.LGarXiv:2301.12222v12023
Evidence-Guided Detection, Localization and Explanation for Text-Centric Image Forensics
Peifeng Liu, Bin Li, Qingsong Zhang +3
cs.CVarXiv:2609.02097v12026
Recursive Language Models
Alex L. Zhang, Tim Kraska, Omar Khattab
cs.AIcs.CLarXiv:2512.24601v32025
A computationally efficient robust model predictive control framework for uncertain nonlinear systems -- extended version
Johannes Köhler, Raffaele Soloperto, Matthias A. Müller +1
eess.SYarXiv:1910.12081v22019
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
Yige Xu, Xu Guo, Zhiwei Zeng +1
cs.CLarXiv:2502.12134v22025
Orthogonal Ensembles and Tested Explanations for Performer-Independent Body-Motion Emotion Recognition
Naoto Nishida, Yoshio Ishiguro
cs.CVcs.HCcs.LGarXiv:2609.02510v12026
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
Dacheng Li, Shiyi Cao, Tyler Griggs +9
cs.AIarXiv:2502.07374v22025
HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation
Yi Li, Yuquan Deng, Jesse Zhang +9
cs.ROcs.AIcs.CVarXiv:2502.05485v42025
Data Science in Statistics Curricula: Preparing Students to "Think with Data"
Johanna Hardin, Roger Hoerl, Nicholas J. Horton +1
stat.OTarXiv:1410.3127v32014
SoK: Where Do Flow Labels Come From? Auditing Label Provenance in Encrypted Traffic Benchmarks
Sizhe Huang, Shujie Yang
cs.NIcs.LGarXiv:2609.02140v12026
Multimodal Recommender Systems: A Survey
Qidong Liu, Jiaxi Hu, Yutian Xiao +5
cs.IRcs.AIarXiv:2302.03883v22023
Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains
N. V. Chawla, Grigoris Karakoulas
cs.LGarXiv:1109.2047v12011
FIRE4, LiteRed and accompanying tools to solve integration by parts relations
A. V. Smirnov, V. A. Smirnov
hep-pharXiv:1302.5885v12013
All Pure Bipartite Entangled States can be Self-Tested
Andrea Coladangelo, Koon Tong Goh, Valerio Scarani
quant-pharXiv:1611.08062v22016
Building a Framework for Predictive Science
Michael M. McKerns, Leif Strand, Tim Sullivan +2
cs.MScs.DCcs.DMarXiv:1202.1056v12012
Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection
Max Nelson, Hanoz Bhathena, Aviral Joshi +1
cs.IRcs.CLarXiv:2609.02745v12026
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering
Ruiqi Wang, Jiyu Guo, Cuiyun Gao +3
cs.SEcs.AIarXiv:2502.06193v32025
LLMs Accelerate Annotation for Medical Information Extraction
Akshay Goel, Almog Gueta, Omry Gilon +10
cs.CLcs.AIcs.LGarXiv:2312.02296v12023
Perception-Aware Policy Optimization for Multimodal Reasoning
Zhenhailong Wang, Xuehang Guo, Sofia Stoica +8
cs.CLarXiv:2507.06448v52025
Learning Spatial-Aware Regressions for Visual Tracking
Chong Sun, Dong Wang, Huchuan Lu +1
cs.CVarXiv:1706.07457v22017
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
Zhaojiang Lin, Andrea Madotto, Pascale Fung
cs.CLarXiv:2004.03829v22020
MTGR: Industrial-Scale Generative Recommendation Framework in Meituan
Ruidong Han, Bin Yin, Shangyu Chen +12
cs.IRarXiv:2505.18654v42025
Learning Deep Networks from Noisy Labels with Dropout Regularization
Ishan Jindal, Matthew Nokleby, Xuewen Chen
cs.CVcs.LGstat.MLarXiv:1705.03419v12017
Instance-Guided Report Anchoring for Text-Free 3D Abnormality Segmentation in Chest CT
Zhenyu Bu, Haoyan Ding, Chushu Shen +7
cs.CVarXiv:2609.00447v12026
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units
Niranjani Prasad, Li-Fang Cheng, Corey Chivers +2
cs.AIarXiv:1704.06300v12017
ToRL: Scaling Tool-Integrated RL
Xuefeng Li, Haoyang Zou, Pengfei Liu
cs.CLarXiv:2503.23383v12025
Monet: Reasoning in Latent Visual Space Beyond Images and Language
Qixun Wang, Yang Shi, Yifei Wang +5
cs.CVcs.AIarXiv:2511.21395v22025
Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis
Zhen Ye, Xinfa Zhu, Chi-Min Chan +17
eess.AScs.AIcs.CLarXiv:2502.04128v22025
Coarse-graining DNA for simulations of DNA nanotechnology
Jonathan P. K. Doye, Thomas E. Ouldridge, Ard A. Louis +8
q-bio.BMcond-mat.softphysics.bio-pharXiv:1308.3843v12013
Challenges and Opportunities of Near-Term Quantum Computing Systems
A. D. Corcoles, A. Kandala, A. Javadi-Abhari +6
quant-pharXiv:1910.02894v12019
Who Drives the Probability Game of VLMs? A Temporal Causal Drive Evaluation Framework
Shuyao Xiao, Shengling Wang, Haoyu Niu +4
cs.CVarXiv:2609.02000v12026
AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control
Jialong Li, Xuxin Cheng, Tianshu Huang +3
cs.ROcs.AIcs.LGarXiv:2505.03738v12025
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu +1
eess.IVcs.CVcs.LGarXiv:2005.04573v12020
A combination chaotic system and application in color image encryption
R. Parvaz, M. Zarebnia
cs.ITcs.CRarXiv:1708.01862v12017
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
Zhen Zhang, Xuehai He, Weixiang Yan +5
cs.CLcs.AIarXiv:2505.15778v12025

Every paper with a summary

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models

Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures

Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs

TempFlow-GRPO: When Timing Matters for GRPO in Flow Models

Medical Hallucinations in Foundation Models and Their Impact on Healthcare

Street Scene: A new dataset and evaluation protocol for video anomaly detection

MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving

A Richly Annotated Dataset for Pedestrian Attribute Recognition

Line-profile tomography of exoplanet transits -- II. A gas-giant planet transiting a rapidly-rotating A5 star

GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving

Alleviating Over-segmentation Errors by Detecting Action Boundaries

Natural Image Matting via Guided Contextual Attention

Unifying Conformal Language Tasks with In-Context Ensembles

Roadmap on Atomtronics: State of the art and perspective

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Temporal-Relational CrossTransformers for Few-Shot Action Recognition

The Geometry of Ignorance: LLMs Know When to Temper Bayesian Priors

Adaptive multiscale model reduction with Generalized Multiscale Finite Element Methods

Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms

PixelDiT: Pixel Diffusion Transformers for Image Generation

PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyond

Reinforcement Learning in Economics and Finance

AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review

Evidence-Guided Detection, Localization and Explanation for Text-Centric Image Forensics

Recursive Language Models

A computationally efficient robust model predictive control framework for uncertain nonlinear systems -- extended version

SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs

Orthogonal Ensembles and Tested Explanations for Performer-Independent Body-Motion Emotion Recognition

LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation

Data Science in Statistics Curricula: Preparing Students to "Think with Data"

SoK: Where Do Flow Labels Come From? Auditing Label Provenance in Encrypted Traffic Benchmarks

Multimodal Recommender Systems: A Survey

Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains

FIRE4, LiteRed and accompanying tools to solve integration by parts relations

All Pure Bipartite Entangled States can be Self-Tested

Building a Framework for Predictive Science

Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection

Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering

LLMs Accelerate Annotation for Medical Information Extraction

Perception-Aware Policy Optimization for Multimodal Reasoning

Learning Spatial-Aware Regressions for Visual Tracking

Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Learning Deep Networks from Noisy Labels with Dropout Regularization

Instance-Guided Report Anchoring for Text-Free 3D Abnormality Segmentation in Chest CT

A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units

ToRL: Scaling Tool-Integrated RL

Monet: Reasoning in Latent Visual Space Beyond Images and Language

Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis

Coarse-graining DNA for simulations of DNA nanotechnology

Challenges and Opportunities of Near-Term Quantum Computing Systems

Who Drives the Probability Game of VLMs? A Temporal Causal Drive Evaluation Framework

AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control

A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis

A combination chaotic system and application in color image encryption

Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space