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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54,721 to 54,780 of 119,075

Evaluating Agentic AI in the Wild: Failure Modes, Drift Patterns, and a Production Evaluation Framework
Mukund Pandey
cs.AIarXiv:2605.01604v12026
LightLDA: Big Topic Models on Modest Compute Clusters
Jinhui Yuan, Fei Gao, Qirong Ho +6
stat.MLcs.DCcs.IRarXiv:1412.1576v12014
ICA Lens: Interpreting Language Models Without Training Another Dictionary
Sida Liu, Feijiang Han
cs.LGcs.AIcs.CLarXiv:2606.11722v12026
Causal Judge Evaluation: Calibrated Surrogate Metrics for LLM Systems
Eddie Landesberg, Manjari Narayan
stat.MEstat.APstat.MLarXiv:2512.11150v32025
KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs
Chuangtao Chen, Grace Li Zhang, Xunzhao Yin +3
cs.LGcs.AIarXiv:2604.13226v22026
Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment
Umberto Fugiglando, Emanuele Massaro, Paolo Santi +5
cs.LGcs.CYphysics.data-anarXiv:1710.04133v12017
ImageNet-21K Pretraining for the Masses
Tal Ridnik, Emanuel Ben-Baruch, Asaf Noy +1
cs.CVcs.LGarXiv:2104.10972v42021
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
Max Bain, Arsha Nagrani, Gül Varol +1
cs.CVarXiv:2104.00650v22021
Block stochastic gradient iteration for convex and nonconvex optimization
Yangyang Xu, Wotao Yin
math.OCcs.LGcs.NAarXiv:1408.2597v32014
Parallelizing MCMC via Weierstrass Sampler
Xiangyu Wang, David B. Dunson
stat.COcs.DCstat.MLarXiv:1312.4605v22013
Transformers as Support Vector Machines
Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis +1
cs.LGcs.AIcs.CLarXiv:2308.16898v32023
On the definition of a confounder
Tyler J. VanderWeele, Ilya Shpitser
stat.MEcs.AIarXiv:1304.0564v12013
Perception and Sensing for Autonomous Vehicles Under Adverse Weather Conditions: A Survey
Yuxiao Zhang, Alexander Carballo, Hanting Yang +1
cs.ROarXiv:2112.08936v22021
Optimal steering of a linear stochastic system to a final probability distribution, Part III
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon
eess.SYcs.SYmath.OCarXiv:1608.03622v12016
Slicing: A New Approach to Privacy Preserving Data Publishing
Tiancheng Li, Ninghui Li, Jian Zhang +1
cs.DBcs.CRarXiv:0909.2290v12009
Distribution of Cognitive Load in Web Search
Jacek Gwizdka
cs.HCcs.IRarXiv:1005.1340v22010
Contextual Stochastic Block Models
Yash Deshpande, Andrea Montanari, Elchanan Mossel +1
cs.SIcs.LGstat.MLarXiv:1807.09596v12018
Characterizing Honeypot-Captured Cyber Attacks: Statistical Framework and Case Study
Zhenxin Zhan, Maochao Xu, Shouhuai Xu
cs.CRstat.AParXiv:1603.07433v12016
When UAVs Meet ISAC: Real-Time Trajectory Design for Secure Communications
Jun Wu, Weijie Yuan, Lajos Hanzo
eess.SParXiv:2306.14140v12023
Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model
Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang +6
cs.CVcs.GRarXiv:2310.15110v12023
Exponential quantum advantages for decoded quantum interferometry in the streaming setting
Kewen Wu, Guangxu Yang
quant-phcs.CCcs.DSarXiv:2610.01902v12026
Heisenberg-limited ground state energy estimation for early fault-tolerant quantum computers
Lin Lin, Yu Tong
quant-pharXiv:2102.11340v22021
Optimizing CNN Model Inference on CPUs
Yizhi Liu, Yao Wang, Ruofei Yu +3
cs.DCarXiv:1809.02697v32018
An explicit mono-monostatic polyhedron
Tancredi Schettini Gherardini
math.MGcs.CGarXiv:2609.07827v12026
Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction
Jun Hou, Yi Fang, Xuan Wang
cs.AIcs.LGarXiv:2608.22176v12026
Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures
Shuangshuang Ying, Yunwen Li, Xingwei Qu +21
cs.CLcs.AIarXiv:2510.14616v22025
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)
Andrés Páez
cs.AIcs.CYcs.HCarXiv:2002.09595v12020
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Adrian Arnaiz-Rodriguez, Federico Errica
cs.LGcs.AIarXiv:2505.15547v32025
Stochastic Nonconvex Bilevel Optimization: Improved Rates Without Rare-Visit Assumption
Daniel Cortild, Mathias Staudigl, Juan Peypouquet +1
math.OCcs.LGarXiv:2609.06580v12026
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout
Hao Tan, Licheng Yu, Mohit Bansal
cs.CLcs.CVcs.LGarXiv:1904.04195v12019
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
Yao Du, Shanshan Song, Xiaomeng Li
cs.CLcs.CVcs.LGarXiv:2605.01402v22026
HSRM: Hidden-State Reward Models for Test-Time Verification
Xianzhi Li, Xiaodan Zhu
cs.AIcs.CLarXiv:2608.30841v12026
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
cs.LGcs.NEarXiv:2006.04182v52020
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective
Rick Zhang, Marco Pavone
cs.ROcs.MAarXiv:1404.4391v12014
Graph Neural Assisted Actor-Critic for Latency-Efficient Edge Vision System
Alam Noor, Luis Almeida, Kai Li +3
cs.CVcs.AIarXiv:2608.16142v12026
EAServe: Encode-Aware Disaggregated Serving for Multimodal Large Language Models
Kunxiong Zhu, Zhihao Shu, Hangyu Zheng +4
cs.DCcs.LGcs.PFarXiv:2609.31551v12026
HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang +1
cs.LGcs.CVarXiv:1702.00758v42017
MOOD: Multi-level Out-of-distribution Detection
Ziqian Lin, Sreya Dutta Roy, Yixuan Li
cs.CVarXiv:2104.14726v12021
Learning two-phase microstructure evolution using neural operators and autoencoder architectures
Vivek Oommen, Khemraj Shukla, Somdatta Goswami +2
cond-mat.mtrl-scics.LGphysics.comp-pharXiv:2204.07230v22022
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong, Liu Liu, Ming Yang +1
cs.CVcs.LGcs.NEarXiv:1412.6115v12014
Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR
Yongjin Yang, Jiarui Liu, Yinghui He +3
cs.AIarXiv:2606.25178v22026
Universality of Deep Convolutional Neural Networks
Ding-Xuan Zhou
cs.LGstat.MLarXiv:1805.10769v22018
UniSim: A Neural Closed-Loop Sensor Simulator
Ze Yang, Yun Chen, Jingkang Wang +4
cs.CVcs.ROarXiv:2308.01898v12023
Prompting Decision Transformer for Few-Shot Policy Generalization
Mengdi Xu, Yikang Shen, Shun Zhang +4
cs.LGcs.AIcs.CVarXiv:2206.13499v12022
RoboHive: A Unified Framework for Robot Learning
Vikash Kumar, Rutav Shah, Gaoyue Zhou +5
cs.ROarXiv:2310.06828v12023
A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth
cs.CLarXiv:1702.02390v12017
Randomly initialized autoencoders: fixed points and edge-of-chaos
Leonid Berlyand, Roman Sarapin, Yitzchak Shmalo +2
cs.LGmath.PRmath.STarXiv:2608.14638v12026
Text to Image Generation with Semantic-Spatial Aware GAN
Kai Hu, Wentong Liao, Michael Ying Yang +1
cs.CVcs.LGarXiv:2104.00567v62021
Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning
Teo Deveney, Lea Bogensperger, Hok Shing Wong
cs.LGcs.CVarXiv:2610.13812v12026
Thinking at the Right Size: Amortized Distillation Across Post-Trained LLMs
Yan Zhou, Sara Kangaslahti, Jonathan Geuter +4
cs.LGarXiv:2608.22854v12026
Model Hypnosis: Strong control of AI via additive subliminal effects
Enric Boix-Adsera, Benedict Tessler
cs.CLcs.AIarXiv:2608.16834v12026
Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance
Zexin Hu, Kun Hu, Clinton Mo +2
cs.CVcs.AIcs.MMarXiv:2308.16725v12023
Segment-Level Risk Discovery in Online Handwriting for Alzheimer's Disease Detection
Changqing Gong, Huafeng Qin, Mounîm A. El-Yacoubi
cs.CVcs.AIarXiv:2609.29384v12026
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng, Yutong He, Yang Song +4
cs.CVcs.AIarXiv:2108.01073v22021
Coded convolution for parallel and distributed computing within a deadline
Sanghamitra Dutta, Viveck Cadambe, Pulkit Grover
cs.ITmath.ITarXiv:1705.03875v12017
Outdoor flocking and formation flight with autonomous aerial robots
Gábor Vásárhelyi, Csaba Virágh, Gergő Somorjai +4
cs.ROcs.MAarXiv:1402.3588v22014
Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study
Abdelhakim Hannousse, Salima Yahiouche
cs.CRarXiv:2010.12847v12020
Adversarial Training Can Hurt Generalization
Aditi Raghunathan, Sang Michael Xie, Fanny Yang +2
cs.LGstat.MLarXiv:1906.06032v22019
MemoryLACE: Memory Lifecycle-Aware Consolidation and Evidence Retrieval
Meriem Yacoubi, Pia Schmidt, Nenad Petrovic +3
cs.CLcs.LGarXiv:2609.03201v12026
KLASS: KL-Guided Fast Inference in Masked Diffusion Models
Seo Hyun Kim, Sunwoo Hong, Hojung Jung +2
cs.LGarXiv:2511.05664v22025

Every paper with a summary

Evaluating Agentic AI in the Wild: Failure Modes, Drift Patterns, and a Production Evaluation Framework

LightLDA: Big Topic Models on Modest Compute Clusters

ICA Lens: Interpreting Language Models Without Training Another Dictionary

Causal Judge Evaluation: Calibrated Surrogate Metrics for LLM Systems

KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs

Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment

ImageNet-21K Pretraining for the Masses

Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

Block stochastic gradient iteration for convex and nonconvex optimization

Parallelizing MCMC via Weierstrass Sampler

Transformers as Support Vector Machines

On the definition of a confounder

Perception and Sensing for Autonomous Vehicles Under Adverse Weather Conditions: A Survey

Optimal steering of a linear stochastic system to a final probability distribution, Part III

Slicing: A New Approach to Privacy Preserving Data Publishing

Distribution of Cognitive Load in Web Search

Contextual Stochastic Block Models

Characterizing Honeypot-Captured Cyber Attacks: Statistical Framework and Case Study

When UAVs Meet ISAC: Real-Time Trajectory Design for Secure Communications

Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Exponential quantum advantages for decoded quantum interferometry in the streaming setting

Heisenberg-limited ground state energy estimation for early fault-tolerant quantum computers

Optimizing CNN Model Inference on CPUs

An explicit mono-monostatic polyhedron

Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction

Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures

The Pragmatic Turn in Explainable Artificial Intelligence (XAI)

Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning

Stochastic Nonconvex Bilevel Optimization: Improved Rates Without Rare-Visit Assumption

Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression

HSRM: Hidden-State Reward Models for Test-Time Verification

Predictive Coding Approximates Backprop along Arbitrary Computation Graphs

Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective

Graph Neural Assisted Actor-Critic for Latency-Efficient Edge Vision System

EAServe: Encode-Aware Disaggregated Serving for Multimodal Large Language Models

HashNet: Deep Learning to Hash by Continuation

MOOD: Multi-level Out-of-distribution Detection

Learning two-phase microstructure evolution using neural operators and autoencoder architectures

Compressing Deep Convolutional Networks using Vector Quantization

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR

Universality of Deep Convolutional Neural Networks

UniSim: A Neural Closed-Loop Sensor Simulator

Prompting Decision Transformer for Few-Shot Policy Generalization

RoboHive: A Unified Framework for Robot Learning

A Hybrid Convolutional Variational Autoencoder for Text Generation

Randomly initialized autoencoders: fixed points and edge-of-chaos

Text to Image Generation with Semantic-Spatial Aware GAN

Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning

Thinking at the Right Size: Amortized Distillation Across Post-Trained LLMs

Model Hypnosis: Strong control of AI via additive subliminal effects

Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance

Segment-Level Risk Discovery in Online Handwriting for Alzheimer's Disease Detection

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Coded convolution for parallel and distributed computing within a deadline

Outdoor flocking and formation flight with autonomous aerial robots

Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study

Adversarial Training Can Hurt Generalization

MemoryLACE: Memory Lifecycle-Aware Consolidation and Evidence Retrieval

KLASS: KL-Guided Fast Inference in Masked Diffusion Models