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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69,061 to 69,120 of 105,443

MotionVLA: Vision-Language-Action Model for Humanoid Motion
Nonghai Zhang, Siyu Zhai, Yanjun Li +5
cs.CVcs.ROarXiv:2606.15142v12026
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang +4
cs.CVarXiv:1812.00488v22018
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors
Sergey Zakharov, Wadim Kehl, Arjun Bhargava +1
cs.CVarXiv:1911.11288v22019
Silicon photonic-electronic neural network for fibre nonlinearity compensation
Chaoran Huang, Shinsuke Fujisawa, Thomas Ferreira de Lima +12
physics.app-pheess.SPphysics.opticsarXiv:2110.12833v12021
HiSfM: Disambiguating Structure-from-Motion via Scaffold-Anchored Hierarchical Reconstruction
Ziding Zhao, Hainan Cui, Peilin Tao +1
cs.CVarXiv:2609.04718v12026
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method
Wenhao Ding, Baiming Chen, Minjun Xu +1
cs.ROcs.LGarXiv:2003.01197v32020
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista, Matthias Poloczek
stat.MLcs.LGmath.OCarXiv:1806.08838v22018
Learnable Multipliers: Freeing the Scale of Language Model Matrix Layers
Maksim Velikanov, Ilyas Chahed, Jingwei Zuo +3
cs.LGarXiv:2601.04890v12026
Simulating quantum circuits with arbitrary local noise using Pauli Propagation
Armando Angrisani, Antonio A. Mele, Manuel S. Rudolph +2
quant-pharXiv:2501.13101v22025
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Yarin Gal, Zoubin Ghahramani
stat.MLarXiv:1512.05287v52015
Byzantine-Resilient Secure Federated Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr
cs.CRcs.DCcs.LGarXiv:2007.11115v22020
ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification
Hao Chen, Benoit Lagadec, Francois Bremond
cs.CVarXiv:2103.16364v22021
BSP-Net: Generating Compact Meshes via Binary Space Partitioning
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
cs.CVcs.GRcs.LGarXiv:1911.06971v62019
Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations
Xinchen Yan, Jasmine Hsu, Mohi Khansari +5
cs.ROcs.AIcs.CVarXiv:1708.07303v42017
Keyword-aware Optimal Route Search
Xin Cao, Lisi Chen, Gao Cong +1
cs.DBarXiv:1208.0077v12012
Demystifying Oversmoothing in Sheaf Neural Networks: An Index-Theoretic Criterion
Junwen Dong, Yuhan Peng, Hao Li +2
cs.LGmath.DGarXiv:2608.16180v12026
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
Zihan Zhu, Songyou Peng, Viktor Larsson +4
cs.CVarXiv:2302.03594v12023
Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe
Jia-Nuo Liew, Shenghan Lin, Bowen Chen +4
cs.CEarXiv:2609.01330v12026
FLM: Frequency-Aware Language Models for Generative Image Compression
Jiarun Chen, Kejun Wu, Li Li +3
cs.CVarXiv:2608.28687v12026
SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion
Chengting Yu, Xiaobo Shu, Yadao Wang +8
cs.LGarXiv:2602.11698v22026
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang, Tommy Tang, Yifan Ding +4
cs.LGcs.CVstat.MLarXiv:2010.07468v52020
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
Junhua Mao, Wei Xu, Yi Yang +3
cs.CVcs.CLcs.LGarXiv:1504.06692v22015
Thinking Is Not Telling: Information Disclosure in User-Service LLM Agents
Jiatong Li, Changdae Oh, Hyeong Kyu Choi +2
cs.CLarXiv:2602.07796v22026
Generic Absorbing Transition in Coevolution Dynamics
F. Vazquez, V. M. Eguiluz, M. San Miguel
physics.soc-phcond-mat.stat-mecharXiv:0710.4910v22007
ViTGAN: Training GANs with Vision Transformers
Kwonjoon Lee, Huiwen Chang, Lu Jiang +3
cs.CVcs.LGeess.IVarXiv:2107.04589v22021
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
Andrea Cini, Ivan Marisca, Cesare Alippi
cs.LGcs.AIarXiv:2108.00298v32021
The Fast Convergence of Incremental PCA
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
cs.LGstat.MLarXiv:1501.03796v12015
Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment
Mengting Chen, Xi Chen, Zhonghua Zhai +4
cs.CVarXiv:2403.12965v12024
ePACT: Energy-Performance-Aware Commitment Tracking for LLM Serving
You Peng, Youhe Jiang, Chen Wang +1
cs.DCarXiv:2610.01784v12026
Deep learning for comprehensive forecasting of Alzheimer's Disease progression
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh +1
cs.LGq-bio.QMstat.MLarXiv:1807.03876v22018
Efficient evaluation of quantum observables using entangled measurements
Ikko Hamamura, Takashi Imamichi
quant-pharXiv:1909.09119v22019
Injected and Delivered: Fabricating Implicit Control over Actuation Systems by Spoofing Inertial Sensors
Yazhou Tu, Zhiqiang Lin, Insup Lee +1
cs.CRarXiv:1806.07558v22018
Pruning vs Quantization: Which is Better?
Andrey Kuzmin, Markus Nagel, Mart van Baalen +2
cs.LGarXiv:2307.02973v22023
Learning Video Representations from Large Language Models
Yue Zhao, Ishan Misra, Philipp Krähenbühl +1
cs.CVarXiv:2212.04501v12022
Q-PhotoMarket: A Design Space Exploration Framework for Photonic Hybrid Quantum Neural Networks in Financial Market Prediction
Alberto Marchisio, Hanzalah Mohamed Siraj, Muhammad Kashif +2
quant-phcs.LGarXiv:2610.09641v12026
DuplexAgent-RSI: Recursive Harness Improvement for Full-Duplex Voice Agent Collaboration
Yingda Shen, Yuxiang Wang, Kunyu Feng +7
cs.AIcs.SDarXiv:2610.11299v12026
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Xin Qiu, Yulu Gan, Conor F. Hayes +6
cs.LGcs.AIcs.NEarXiv:2509.24372v32025
TTCS: Test-Time Curriculum Synthesis for Self-Evolving
Chengyi Yang, Zhishang Xiang, Yunbo Tang +5
cs.LGcs.AIcs.CLarXiv:2601.22628v12026
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma +1
cs.LGcs.AIcs.CRarXiv:1810.12188v12018
Translation Artifacts in Cross-lingual Transfer Learning
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.LGarXiv:2004.04721v42020
Vision-Centric BEV Perception: A Survey
Yuexin Ma, Tai Wang, Xuyang Bai +7
cs.CVarXiv:2208.02797v22022
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aaron Blakeman +571
cs.CLcs.AIcs.LGarXiv:2606.15007v12026
Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning
Yijia Fan, Ziqi Huang, Zhongang Cai +5
cs.CVcs.AIarXiv:2609.35767v12026
Modeling and interpolation of the ambient magnetic field by Gaussian processes
Arno Solin, Manon Kok, Niklas Wahlström +2
cs.ROstat.MLarXiv:1509.04634v22015
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows
Qiushi Sun, Zhoumianze Liu, Chang Ma +18
cs.AIcs.CLcs.CVarXiv:2505.19897v32025
Refuse without Refusal: A Structural Analysis of Safety-Tuning Responses for Reducing False Refusals in Language Models
Minji Kim, Hyounghun Kim
cs.CLcs.AIarXiv:2609.04714v12026
Behavioral Indicators of Overreliance During Interaction with Conversational Language Models
Chang Liu, Qinyi Zhou, Xinjie Shen +3
cs.HCarXiv:2602.11567v12026
Different Corruptions, Different Signals: Uncertainty and Loss in Federated Data Quality
Bradley Scott, Zeqi Luo, Edmond S. L. Ho
cs.LGcs.AIcs.CVarXiv:2609.31454v12026
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
Yihe Deng, Weitong Zhang, Zixiang Chen +1
cs.CLcs.AIcs.LGarXiv:2311.04205v22023
Late Transformer Layers Recode Syntax Canonically: Evidence from Greek Scrambling and Cross-Layer Generalisation
Christos Nikolaos Zacharopoulos, Revekka Kyriakoglou, Chara Tsoukala +1
cs.CLarXiv:2609.00416v12026
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
Huaiyuan Ying, Shuo Zhang, Linyang Li +19
cs.CLarXiv:2402.06332v22024
Accurate Interatomic Force Fields via Machine Learning with Covariant Kernels
Aldo Glielmo, Peter Sollich, Alessandro De Vita
physics.chem-phcond-mat.mtrl-sciarXiv:1611.03877v22016
MAVEN: A Massive General Domain Event Detection Dataset
Xiaozhi Wang, Ziqi Wang, Xu Han +7
cs.CLarXiv:2004.13590v22020
Epidemic modeling in metapopulation systems with heterogeneous coupling pattern: theory and simulations
Vittoria Colizza, Alessandro Vespignani
q-bio.PEphysics.soc-pharXiv:0706.3647v22007
OpenHail: An Event-Driven Gymnasium Environment for Electric Ride-Hailing Fleet Control
Tommaso Schettini, Nicholas D. Kullman, Jorge E. Mendoza
cs.LGmath.OCarXiv:2609.30628v12026
Context as an Environment: Programmatic Context Management for Long-Horizon Agents
Yin Lin, Elaine Ang, Erkang Zhu +2
cs.AIarXiv:2608.21690v12026
Review of Functional Data Analysis
Jane-Ling Wang, Jeng-Min Chiou, Hans-Georg Mueller
stat.MEarXiv:1507.05135v12015
Segment Anything in Medical Images
Jun Ma, Yuting He, Feifei Li +3
eess.IVcs.CVarXiv:2304.12306v32023
Towards Deep Symbolic Reinforcement Learning
Marta Garnelo, Kai Arulkumaran, Murray Shanahan
cs.AIcs.LGarXiv:1609.05518v22016
Power-law distributions in empirical data
Aaron Clauset, Cosma Rohilla Shalizi, M. E. J. Newman
physics.data-ancond-mat.dis-nnstat.AParXiv:0706.1062v22007

Every paper with a summary

MotionVLA: Vision-Language-Action Model for Humanoid Motion

DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors

Silicon photonic-electronic neural network for fibre nonlinearity compensation

HiSfM: Disambiguating Structure-from-Motion via Scaffold-Anchored Hierarchical Reconstruction

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

Bayesian Optimization of Combinatorial Structures

Learnable Multipliers: Freeing the Scale of Language Model Matrix Layers

Simulating quantum circuits with arbitrary local noise using Pauli Propagation

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

Byzantine-Resilient Secure Federated Learning

ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification

BSP-Net: Generating Compact Meshes via Binary Space Partitioning

Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations

Keyword-aware Optimal Route Search

Demystifying Oversmoothing in Sheaf Neural Networks: An Index-Theoretic Criterion

NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM

Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe

FLM: Frequency-Aware Language Models for Generative Image Compression

SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images

Thinking Is Not Telling: Information Disclosure in User-Service LLM Agents

Generic Absorbing Transition in Coevolution Dynamics

ViTGAN: Training GANs with Vision Transformers

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

The Fast Convergence of Incremental PCA

Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment

ePACT: Energy-Performance-Aware Commitment Tracking for LLM Serving

Deep learning for comprehensive forecasting of Alzheimer's Disease progression

Efficient evaluation of quantum observables using entangled measurements

Injected and Delivered: Fabricating Implicit Control over Actuation Systems by Spoofing Inertial Sensors

Pruning vs Quantization: Which is Better?

Learning Video Representations from Large Language Models

Q-PhotoMarket: A Design Space Exploration Framework for Photonic Hybrid Quantum Neural Networks in Financial Market Prediction

DuplexAgent-RSI: Recursive Harness Improvement for Full-Duplex Voice Agent Collaboration

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

TTCS: Test-Time Curriculum Synthesis for Self-Evolving

Adversarial Attacks on Stochastic Bandits

Translation Artifacts in Cross-lingual Transfer Learning

Vision-Centric BEV Perception: A Survey

Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning

Modeling and interpolation of the ambient magnetic field by Gaussian processes

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows

Refuse without Refusal: A Structural Analysis of Safety-Tuning Responses for Reducing False Refusals in Language Models

Behavioral Indicators of Overreliance During Interaction with Conversational Language Models

Different Corruptions, Different Signals: Uncertainty and Loss in Federated Data Quality

Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves

Late Transformer Layers Recode Syntax Canonically: Evidence from Greek Scrambling and Cross-Layer Generalisation

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Accurate Interatomic Force Fields via Machine Learning with Covariant Kernels

MAVEN: A Massive General Domain Event Detection Dataset

Epidemic modeling in metapopulation systems with heterogeneous coupling pattern: theory and simulations

OpenHail: An Event-Driven Gymnasium Environment for Electric Ride-Hailing Fleet Control

Context as an Environment: Programmatic Context Management for Long-Horizon Agents

Review of Functional Data Analysis

Segment Anything in Medical Images

Towards Deep Symbolic Reinforcement Learning

Power-law distributions in empirical data