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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73,921 to 73,980 of 104,879

Select, Compress, Reinvest: A Controlled Study of Visual-Token Allocation in Long-Video MLLMs
Prakhar Khatri
cs.CVcs.CLarXiv:2609.03820v12026
Many-Shot CoT-ICL: Making In-Context Learning Truly Learn
Tsz Ting Chung, Lemao Liu, Mo Yu +1
cs.CLcs.AIarXiv:2605.13511v32026
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields
Liangchen Song, Anpei Chen, Zhong Li +5
cs.CVcs.GRcs.MMarXiv:2210.15947v22022
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
Peng Xiang, Xin Wen, Yu-Shen Liu +4
cs.CVarXiv:2108.04444v22021
When Does Interference Help Learning? Kernel Geometry as a Pre-Experimental Test for Photonic Reservoir Computing
Oishik Kar, Aswath Babu H
quant-phcs.CEarXiv:2610.11360v12026
Probabilistic two-stage detection
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
cs.CVarXiv:2103.07461v12021
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
Cheng Xue, Lei Zhu, Huazhu Fu +4
eess.IVcs.CVcs.LGarXiv:2104.01896v12021
Quantifying the Gap between Understanding and Generation within Unified Multimodal Models
Chenlong Wang, Yuhang Chen, Zhihan Hu +4
cs.CLarXiv:2602.02140v12026
Learning to Navigate in Complex Environments
Piotr Mirowski, Razvan Pascanu, Fabio Viola +9
cs.AIcs.CVcs.LGarXiv:1611.03673v32016
Quantum Blackhole Learning-Optimized Hadamard Neural Network Model for Dynamic Resource Reservation in Industry Clouds
Deepika Saxena, Hari Mohan Gaur, Ashutosh Kumar Singh +1
cs.DCarXiv:2608.25754v12026
Invisible Shortcuts: Why Vision Encoders Know Your Camera
Vladan Stojnić, Ryan Ramos, Giorgos Kordopatis-Zilos +2
cs.CVcs.LGarXiv:2608.05424v12026
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
Wenji Fang, Shang Liu, Jing Wang +1
cs.ARarXiv:2505.02168v12025
Memory as Infrastructure: Reliability Engineering for Persistent Agent Memory in Months-Long LLM-Assisted Development
Mike Helwig
cs.SEarXiv:2609.05510v12026
Hyperspectral pansharpening: a review
Laetitia Loncan, Luis B. Almeida, José M. Bioucas-Dias +12
cs.CVphysics.data-anstat.AParXiv:1504.04531v12015
Enabling Emergency Communication via Semantic Radar-Centric ISAC
Mohaimin Al Barat, Chaoyu Zhang, Hexuan Yu +3
cs.NIarXiv:2609.06801v12026
Deception by Omission: Language Models Knowingly Hide Their Mistakes
Lucas Florin, Amelie Knecht, Ulysse Schaller +1
cs.CLarXiv:2610.11351v12026
ALoDLM: Adaptively Looped Diffusion Language Models
Liancheng Fang, Zhuowei Li, Youngeun Kim +10
cs.AIcs.LGarXiv:2610.04198v12026
Robustness May Be at Odds with Accuracy
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom +2
stat.MLcs.CVcs.LGarXiv:1805.12152v52018
Scene Transformer: A unified architecture for predicting multiple agent trajectories
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan +11
cs.CVcs.LGcs.ROarXiv:2106.08417v32021
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images
Libo Wang, Rui Li, Dongzhi Wang +3
cs.CVarXiv:2106.12413v22021
Jailbreaking in the Haystack
Rishi Rajesh Shah, Chen Henry Wu, Shashwat Saxena +3
cs.CRcs.AIcs.CLarXiv:2511.04707v22025
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal +1
cs.CVarXiv:2005.01385v42020
Characterizing Quantum Supremacy in Near-Term Devices
Sergio Boixo, Sergei V. Isakov, Vadim N. Smelyanskiy +6
quant-pharXiv:1608.00263v32016
Optimizing Credential Blast Radius Through Trust Boundaries and Delegation Under Post-Quantum Authentication Costs
Pauli Taipale, Harri Lainio
cs.CRarXiv:2609.04566v22026
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Chunyuan Li, Changyou Chen, David Carlson +1
stat.MLarXiv:1512.07666v12015
Autoregressive Drillhole Modelling Under Distribution Shift
Yihao Ding, Daniel Yitian Su, Yiran Zhang +2
cs.LGarXiv:2610.01204v12026
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
Luyao Zhuang, Shengyuan Chen, Yilin Xiao +5
cs.CLarXiv:2510.10114v42025
Voxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning
Helen Oleynikova, Zachary Taylor, Marius Fehr +2
cs.ROarXiv:1611.03631v22016
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco Cohen, Mario Geiger, Maurice Weiler
cs.LGcs.AIcs.CGarXiv:1811.02017v22018
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Haoning Wu, Zicheng Zhang, Weixia Zhang +11
cs.CVcs.CLcs.LGarXiv:2312.17090v12023
Repair Before Reinforce: Context-Augmented Knowledge Graph Reasoning for Multi-Hop Question Answering
Tharaka D. Fonseka, Niraj K. Jha
cs.CLcs.AIarXiv:2609.12230v12026
Community detection in sparse networks via Grothendieck's inequality
Olivier Guédon, Roman Vershynin
math.STcs.SIarXiv:1411.4686v42014
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
Yifan Yang, Jiajun Zhou, Ngai Wong +1
cs.CLcs.AIcs.LGarXiv:2402.11417v12024
Understanding R1-Zero-Like Training: A Critical Perspective
Zichen Liu, Changyu Chen, Wenjun Li +5
cs.LGcs.AIcs.CLarXiv:2503.20783v22025
Newton-Type Methods for Non-Convex Optimization Under Inexact Hessian Information
Peng Xu, Fred Roosta, Michael W. Mahoney
math.OCcs.CCcs.LGarXiv:1708.07164v42017
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
cs.LGeess.SYphysics.comp-pharXiv:1909.12077v52019
A Domain Decomposition Approach to Implementing Fault Slip in Finite-Element Models of Quasi-static and Dynamic Crustal Deformation
Brad T. Aagaard, Matthew G. Knepley, Charles A. Williams
physics.geo-phcs.CEcs.MSarXiv:1308.5846v12013
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
Shenghui Li, Edith C. -H. Ngai, Thiemo Voigt
cs.LGarXiv:2302.07173v12023
FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation
Ronghui Li, Junfan Zhao, Yachao Zhang +5
cs.CVcs.SDeess.ASarXiv:2212.03741v42022
Efficient Provably Private Classification with a Tabular Foundation Model
Talal Alrawajfeh, Cristiana Diaconu, Ossi Räisä +5
cs.LGcs.CRarXiv:2610.10068v12026
Deep Learning Power Allocation in Massive MIMO
Luca Sanguinetti, Alessio Zappone, Merouane Debbah
eess.SPcs.ITcs.LGarXiv:1812.03640v22018
Extremely Sparse Supervision Incentivizes Reasoning Ability
Zhishuai Liu, Xingzi Xu, Mehmet Saygin Seyfioglu +2
cs.AIcs.CLcs.LGarXiv:2609.04565v12026
Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction
Tianxiang Jiang, Linquan Wu, Sheng Xia +5
cs.CVarXiv:2606.05769v12026
Rethinking the Practicality of Vision-language-action Model: A Comprehensive Benchmark and An Improved Baseline
Wenxuan Song, Jiayi Chen, Xiaoquan Sun +12
cs.ROarXiv:2602.22663v12026
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
Jinxin Liu, Shulin Cao, Jiaxin Shi +5
cs.CLarXiv:2401.05777v22024
EgoPhys: Estimating Peak Contact Force and Mechanical Work from Egocentric Manipulation Video
Zhuo Dong, Jianhua Yang, Haohao Li +4
cs.CVarXiv:2610.11347v12026
HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks
Adnan El Assadi, Isaac Chung, Roman Solomatin +2
cs.CLarXiv:2510.10062v32025
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi, Ashish Agarwal, Paul Barham +37
cs.DCcs.LGarXiv:1603.04467v22016
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Ilya Mironov, Kunal Talwar, Li Zhang
cs.LGcs.CRstat.MLarXiv:1908.10530v12019
Routing Before Looking: Query-Adaptive Evidence Acquisition for Long-form Video Understanding
Tianyue Wang, Xuying Wu, Yuxiang Ma +7
cs.CVarXiv:2608.20805v12026
Efficient Multi-Granularity Knowledge Transfer for Radiology Report Generation
Xubin Zhong, Zheyu Zhang, Wenjian Qin +1
cs.CVarXiv:2610.11303v12026
Data Efficient Sample Selection for In-Context Learning
V Venktesh, Cem Levi, Avishek Anand
cs.LGcs.CLarXiv:2609.06670v22026
Why Do Conventional World Models Fail to Learn Cellular Automata?
Shaoyang Guo, Ziming Liu
cs.AIarXiv:2609.39604v12026
3D-aware Blending with Generative NeRFs
Hyunsu Kim, Gayoung Lee, Yunjey Choi +2
cs.CVcs.GRcs.LGarXiv:2302.06608v32023
mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data
Jonas M. B. Haslbeck, Lourens J. Waldorp
stat.AParXiv:1510.06871v82015
Distributed ToA Localization of Acoustic Sources with Unknown Time of Emission via Operator Splitting
Anton Tolstonogov, David Cabecinhas, Pedro Batista +1
eess.SPcs.SYeess.SYarXiv:2609.10182v12026
AgentEHR: Advancing Autonomous Clinical Decision-Making via Retrospective Summarization
Yusheng Liao, Chuan Xuan, Yutong Cai +4
cs.CLarXiv:2601.13918v12026
Self-Edit: Fault-Aware Code Editor for Code Generation
Kechi Zhang, Zhuo Li, Jia Li +2
cs.SEcs.CLarXiv:2305.04087v52023
Optimal Control Via Neural Networks: A Convex Approach
Yize Chen, Yuanyuan Shi, Baosen Zhang
math.OCarXiv:1805.11835v52018
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
Uthsav Chitra, Benjamin J Raphael
cs.LGcs.DMcs.SIarXiv:1905.08287v12019

Every paper with a summary

Select, Compress, Reinvest: A Controlled Study of Visual-Token Allocation in Long-Video MLLMs

Many-Shot CoT-ICL: Making In-Context Learning Truly Learn

NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

When Does Interference Help Learning? Kernel Geometry as a Pre-Experimental Test for Photonic Reservoir Computing

Probabilistic two-stage detection

Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

Quantifying the Gap between Understanding and Generation within Unified Multimodal Models

Learning to Navigate in Complex Environments

Quantum Blackhole Learning-Optimized Hadamard Neural Network Model for Dynamic Resource Reservation in Industry Clouds

Invisible Shortcuts: Why Vision Encoders Know Your Camera

CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design

Memory as Infrastructure: Reliability Engineering for Persistent Agent Memory in Months-Long LLM-Assisted Development

Hyperspectral pansharpening: a review

Enabling Emergency Communication via Semantic Radar-Centric ISAC

Deception by Omission: Language Models Knowingly Hide Their Mistakes

ALoDLM: Adaptively Looped Diffusion Language Models

Robustness May Be at Odds with Accuracy

Scene Transformer: A unified architecture for predicting multiple agent trajectories

Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images

Jailbreaking in the Haystack

Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques

Characterizing Quantum Supremacy in Near-Term Devices

Optimizing Credential Blast Radius Through Trust Boundaries and Delegation Under Post-Quantum Authentication Costs

Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks

Autoregressive Drillhole Modelling Under Distribution Shift

LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora

Voxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning

A General Theory of Equivariant CNNs on Homogeneous Spaces

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Repair Before Reinforce: Context-Augmented Knowledge Graph Reasoning for Multi-Hop Question Answering

Community detection in sparse networks via Grothendieck's inequality

LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models

Understanding R1-Zero-Like Training: A Critical Perspective

Newton-Type Methods for Non-Convex Optimization Under Inexact Hessian Information

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control

A Domain Decomposition Approach to Implementing Fault Slip in Finite-Element Models of Quasi-static and Dynamic Crustal Deformation

An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning

FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation

Efficient Provably Private Classification with a Tabular Foundation Model

Deep Learning Power Allocation in Massive MIMO

Extremely Sparse Supervision Incentivizes Reasoning Ability

Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction

Rethinking the Practicality of Vision-language-action Model: A Comprehensive Benchmark and An Improved Baseline

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering

EgoPhys: Estimating Peak Contact Force and Mechanical Work from Egocentric Manipulation Video

HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Rényi Differential Privacy of the Sampled Gaussian Mechanism

Routing Before Looking: Query-Adaptive Evidence Acquisition for Long-form Video Understanding

Efficient Multi-Granularity Knowledge Transfer for Radiology Report Generation

Data Efficient Sample Selection for In-Context Learning

Why Do Conventional World Models Fail to Learn Cellular Automata?

3D-aware Blending with Generative NeRFs

mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data

Distributed ToA Localization of Acoustic Sources with Unknown Time of Emission via Operator Splitting

AgentEHR: Advancing Autonomous Clinical Decision-Making via Retrospective Summarization

Self-Edit: Fault-Aware Code Editor for Code Generation

Optimal Control Via Neural Networks: A Convex Approach

Random Walks on Hypergraphs with Edge-Dependent Vertex Weights