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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25,261 to 25,320 of 61,116

Designing Proactive Thought Partners for Writing
Chao Zhang, Abe Davis, Chih-Wei Chen +1
cs.HCcs.AIcs.CLarXiv:2609.01588v12026
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh +3
cs.AIcs.CLcs.LGarXiv:2506.06941v32025
DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
Ziwei Zheng, Michael Yang, Jack Hong +5
cs.CVarXiv:2505.14362v32025
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
Li Yang, Abdallah Moubayed, Ismail Hamieh +1
cs.LGcs.CRstat.MLarXiv:1910.08635v22019
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
Mislav Balunović, Jasper Dekoninck, Ivo Petrov +2
cs.AIcs.CLarXiv:2505.23281v32025
Vaccination and SARS-CoV-2 variants: how much containment is still needed? A quantitative assessment
Giulia Giordano, Marta Colaneri, Alessandro Di Filippo +6
q-bio.PEeess.SYmath.DSarXiv:2102.08704v12021
On the Effect of Dropping Layers of Pre-trained Transformer Models
Hassan Sajjad, Fahim Dalvi, Nadir Durrani +1
cs.CLcs.LGarXiv:2004.03844v32020
AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views
Lihan Jiang, Yucheng Mao, Linning Xu +9
cs.CVarXiv:2505.23716v22025
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky +2
cs.HCcs.AIcs.CVarXiv:2210.03735v22022
Are We There Yet? Assessing Computer-Use Agents for Blind Users' Accessible Interaction with Desktop Applications
Satwik Ram Kodandaram, Monalika Padma Reddy, Xiaojun Bi +3
cs.HCcs.AIarXiv:2609.00524v12026
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri, Lukas Cavigelli, Davide Rossi +1
cs.ARcs.CVcs.NEarXiv:1606.05487v42016
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Yang Sui, Yu-Neng Chuang, Guanchu Wang +9
cs.CLarXiv:2503.16419v42025
DRLM: Deep Reinforcement Learning-Based LLM Query Orchestration in Edge Environments
Reza Farahani, Zoha Azimi Ourimi, Mario Colosi +3
cs.DCarXiv:2609.00442v12026
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
cs.CLcs.AIcs.LGarXiv:2503.04697v22025
Memory in the Age of AI Agents
Yuyang Hu, Shichun Liu, Yanwei Yue +44
cs.CLcs.AIarXiv:2512.13564v22025
Deep Fully-Connected Networks for Video Compressive Sensing
Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos
cs.CVcs.LGcs.MMarXiv:1603.04930v22016
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
Yuhui Li, Fangyun Wei, Chao Zhang +1
cs.CLarXiv:2503.01840v32025
Generative Compression
Shibani Santurkar, David Budden, Nir Shavit
cs.CVarXiv:1703.01467v22017
Fair Public Decision Making
Vincent Conitzer, Rupert Freeman, Nisarg Shah
cs.GTarXiv:1611.04034v22016
MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details
Ruicheng Wang, Sicheng Xu, Yue Dong +6
cs.CVarXiv:2507.02546v12025
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
Jianyuan Guo, Yuhui Yuan, Lang Huang +3
cs.CVarXiv:1910.10111v12019
DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
Z. Z. Ren, Zhihong Shao, Junxiao Song +15
cs.CLcs.AIarXiv:2504.21801v22025
Faithful Logical Reasoning via Symbolic Chain-of-Thought
Jundong Xu, Hao Fei, Liangming Pan +3
cs.CLarXiv:2405.18357v22024
VirSqueezer: Generating Realistic Deformations and Squeezing Dynamics in VR from Fine-Grained Squeezing Controls
Qian Zhang, Xiaoming Chen, Xiaorui Ma +2
cs.HCarXiv:2609.01698v12026
Agent Laboratory: Using LLM Agents as Research Assistants
Samuel Schmidgall, Yusheng Su, Ze Wang +7
cs.HCcs.AIcs.CLarXiv:2501.04227v22025
Knowledge Transfer for Melanoma Screening with Deep Learning
Afonso Menegola, Michel Fornaciali, Ramon Pires +3
cs.CVarXiv:1703.07479v12017
X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
Jinliang Zheng, Jianxiong Li, Zhihao Wang +12
cs.ROcs.AIcs.CVarXiv:2510.10274v12025
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Z-Image Team, Huanqia Cai, Sihan Cao +21
cs.CVarXiv:2511.22699v52025
Learning to Adapt Invariance in Memory for Person Re-identification
Zhun Zhong, Liang Zheng, Zhiming Luo +2
cs.CVarXiv:1908.00485v12019
GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
Kai Lei, Meng Qin, Bo Bai +2
cs.SIcs.LGcs.NIarXiv:1901.09165v12019
GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control
Xuanchi Ren, Tianchang Shen, Jiahui Huang +7
cs.CVcs.GRarXiv:2503.03751v12025
Client-side transparent caching for remote ROOT data analysis
Dmytro Kovalskyi, Jan Eysermans, Mariarosaria D'Alfonso +1
cs.DChep-exarXiv:2609.00400v12026
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov +3
cs.CVarXiv:2403.17822v32024
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241
cs.CLarXiv:2609.04173v12026
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video
Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar +1
cs.CVcs.LGcs.NEarXiv:1603.07839v12016
GadIR: A Spatial-Topology Preserving Compiler for Quantum Many-Body Systems Simulation
Xiangyu Ren, Yuexun Huang, Zhaohui Yang +5
quant-phcs.ARcs.PLarXiv:2609.01771v12026
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
Yu Huang, Junyang Lin, Chang Zhou +2
cs.LGarXiv:2203.12221v12022
Accelerating DNN Training in Wireless Federated Edge Learning Systems
Jinke Ren, Guanding Yu, Guangyao Ding
cs.LGeess.SParXiv:1905.09712v32019
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Jonas Geiping, Sean McLeish, Neel Jain +6
cs.LGcs.CLarXiv:2502.05171v22025
LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting
Yufei Chen, Yiran Zhao, Xiaogang Xu +3
cs.AIarXiv:2609.01337v12026
GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
GLM-V Team, :, Wenyi Hong +91
cs.CVcs.AIcs.LGarXiv:2507.01006v62025
Multiplex PageRank
Arda Halu, Raul J. Mondragon, Pietro Panzarasa +1
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1306.3576v32013
Low-Rank Matrix Approximation with Weights or Missing Data is NP-hard
Nicolas Gillis, François Glineur
math.OCeess.SYmath.NAarXiv:1012.0197v22010
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT
Liang Sun, Zhanhao Mo, Fuhua Yan +14
eess.IVcs.CVcs.LGarXiv:2005.03264v12020
Reduced order model for parametric Boltzmann equation and its application to inverse problems
Shanyin Tong, Jingwei Hu, Fengyan Li +3
math.NAmath.OCarXiv:2609.02578v12026
Multi-Agent Collaboration Mechanisms: A Survey of LLMs
Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen +3
cs.AIarXiv:2501.06322v12025
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib +2
cs.AIcs.CVcs.ROarXiv:1903.01602v12019
Practical Deep Reinforcement Learning Approach for Stock Trading
Xiao-Yang Liu, Zhuoran Xiong, Shan Zhong +2
cs.LGq-fin.TRstat.MLarXiv:1811.07522v32018
Persona Vectors: Monitoring and Controlling Character Traits in Language Models
Runjin Chen, Andy Arditi, Henry Sleight +2
cs.CLcs.LGarXiv:2507.21509v32025
Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency
Jia-Nan Wang, Zixun Huang, Kairui Li +1
stat.MLcs.LGmath.OCarXiv:2609.02728v12026
ADD 2023: the Second Audio Deepfake Detection Challenge
Jiangyan Yi, Jianhua Tao, Ruibo Fu +15
cs.SDeess.ASarXiv:2305.13774v12023
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification
Feng Shi, Liming Xia, Fei Shan +7
eess.IVcs.CVcs.LGarXiv:2003.09860v12020
LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
Senyu Fei, Siyin Wang, Junhao Shi +10
cs.ROcs.CLcs.CVarXiv:2510.13626v32025
Visual-RFT: Visual Reinforcement Fine-Tuning
Ziyu Liu, Zeyi Sun, Yuhang Zang +5
cs.CVarXiv:2503.01785v12025
DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News
Jacopo Staiano, Marco Guerini
cs.CLcs.CYarXiv:1405.1605v12014
QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation
Yaroslav Prytula, Anton Popov, Dmytro Fishman
cs.CVcs.AIcs.LGarXiv:2608.29253v12026
Towards Transferable Adversarial Attack against Deep Face Recognition
Yaoyao Zhong, Weihong Deng
cs.CVarXiv:2004.05790v22020
Diverse Demonstrations Improve In-context Compositional Generalization
Itay Levy, Ben Bogin, Jonathan Berant
cs.CLarXiv:2212.06800v32022
ArcticSwarm: Deferring Early Consensus in Long-Horizon Multi-Agent Research
Soyoung Yoon, Boyi Liu, Yite Wang +6
cs.MAarXiv:2609.01870v12026
Muon is Scalable for LLM Training
Jingyuan Liu, Jianlin Su, Xingcheng Yao +25
cs.LGcs.AIcs.CLarXiv:2502.16982v12025

Every paper with a summary

Designing Proactive Thought Partners for Writing

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Tree-based Intelligent Intrusion Detection System in Internet of Vehicles

MathArena: Evaluating LLMs on Uncontaminated Math Competitions

Vaccination and SARS-CoV-2 variants: how much containment is still needed? A quantitative assessment

On the Effect of Dropping Layers of Pre-trained Transformer Models

AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views

"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction

Are We There Yet? Assessing Computer-Use Agents for Blind Users' Accessible Interaction with Desktop Applications

YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

DRLM: Deep Reinforcement Learning-Based LLM Query Orchestration in Edge Environments

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Memory in the Age of AI Agents

Deep Fully-Connected Networks for Video Compressive Sensing

EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

Generative Compression

Fair Public Decision Making

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Faithful Logical Reasoning via Symbolic Chain-of-Thought

VirSqueezer: Generating Realistic Deformations and Squeezing Dynamics in VR from Fine-Grained Squeezing Controls

Agent Laboratory: Using LLM Agents as Research Assistants

Knowledge Transfer for Melanoma Screening with Deep Learning

X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Learning to Adapt Invariance in Memory for Person Re-identification

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks

GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control

Client-side transparent caching for remote ROOT data analysis

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Last Translation Benchmark

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video

GadIR: A Spatial-Topology Preserving Compiler for Quantum Many-Body Systems Simulation

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)

Accelerating DNN Training in Wireless Federated Edge Learning Systems

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting

GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Multiplex PageRank

Low-Rank Matrix Approximation with Weights or Missing Data is NP-hard

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT

Reduced order model for parametric Boltzmann equation and its application to inverse problems

Multi-Agent Collaboration Mechanisms: A Survey of LLMs

The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

Practical Deep Reinforcement Learning Approach for Stock Trading

Persona Vectors: Monitoring and Controlling Character Traits in Language Models

Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency

ADD 2023: the Second Audio Deepfake Detection Challenge

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification

LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Visual-RFT: Visual Reinforcement Fine-Tuning

DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News

QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation

Towards Transferable Adversarial Attack against Deep Face Recognition

Diverse Demonstrations Improve In-context Compositional Generalization

ArcticSwarm: Deferring Early Consensus in Long-Horizon Multi-Agent Research

Muon is Scalable for LLM Training