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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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4,321 to 4,380 of 117,717

UnifiedAttack: Evaluating the Safety of Large Multimodal Models in Synergistic Harmful Image-Text Generation
Bingjun Luo, Jialin Guo, Tony Wang +1
cs.CRcs.CVarXiv:2610.00341v12026
From Error Prediction to Causal Influence: Auditing SAE Features in Multiple-Choice QA
Aria Nourbakhsh, Adelaide Danilov, Oleksandr Marchenko Breneur +1
cs.CLcs.AIarXiv:2610.38067v12026
DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event Sequences
Hugo Math, Maximilian Forstenhäusler, Christos Anagnostopoulos
cs.AIarXiv:2610.38445v12026
Online Object Tracking, Learning and Parsing with And-Or Graphs
Tianfu Wu, Yang Lu, Song-Chun Zhu
cs.CVcs.LGarXiv:1509.08067v62015
Non-Commutative Lie-Algebraic State-Space Models: Finite-Division Variety Laws, Semidirect Cascades, and Gradient Saddle Escape
Zeyu Jia
cs.LGarXiv:2610.00329v42026
Retrospective Open-Vocabulary Memory for Long-Term Object Search
Jiaming Wang, Zhiwei Xue, Chen Jizhuo +2
cs.ROcs.CVarXiv:2610.00330v22026
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
Yoav Kaempfer, Lior Wolf
cs.LGstat.MLarXiv:1803.09621v22018
Interpretable Feature Discovery from Unstructured Data Using LLMs and Statistical Choice Models
Baptiste Arnaudo, Amine Bennouna, Sébastien Martin
stat.MLcs.AIcs.LGarXiv:2610.38082v12026
Bellman-Certified Rounding for Sparse Policy Deployment in MDPs
Zhaojun Peng
cs.LGarXiv:2610.00325v12026
A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He, Yan Wang, John Hopcroft
cs.CVcs.LGcs.NEarXiv:1606.04801v22016
Approaching the Computational Color Constancy as a Classification Problem through Deep Learning
Seoung Wug Oh, Seon Joo Kim
cs.CVarXiv:1608.07951v12016
Authorization for Self-Modifying AI Agent Populations: Conserving Authority across Replacement, Forking, and Rollback
Genliang Zhu, Chu Wang
cs.CRcs.AIarXiv:2610.00347v12026
Statistical Detection of Positional Bias in LLM-Based Recommender Systems: Methodologies and Empirical Evidence
Carlos Peláez-González, Francisco Herrera, Andrés Herrera-Poyatos
cs.IRcs.AIarXiv:2610.37962v12026
Adaptive Gradient Quantization for Data-Parallel SGD
Fartash Faghri, Iman Tabrizian, Ilia Markov +3
cs.LGstat.MLarXiv:2010.12460v12020
DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA Policies
Youngjun Jun, Kyumin Choi, Youngmin Kim +4
cs.ROcs.AIcs.CVarXiv:2610.00317v12026
Self-Supervised Latent Action-Conditioned World Modeling for Time Series
Chia-Han Kuo, Chengshuai Zhao, Huan Liu +1
cs.LGcs.AIarXiv:2610.37963v12026
Beyond Pixel Reconstruction: Retrieval-Guided Glyph-Aware Restoration for Low-Resource Manchu Historical Documents
Ting Huang, Dongdong Wang, Mingqiu Liang +1
cs.CVcs.AIcs.LGarXiv:2610.00315v12026
Selective Transfer Learning for Groundwater Level Anomaly Forecasting: Accuracy-Risk Trade-offs
Yaxuan Wu, Ali Mohammed Mansoor Alsahag, Seyed Sahand Mohammadi Ziabari
cs.LGcs.AIarXiv:2610.37733v12026
SAG-Sep: Sparse Augmented Graphs and Onion-Guided Search for Rounded Capacity Cut Separation
Haoran Liu, Guanyi Wang, Yu Yang
cs.LGcs.AImath.OCarXiv:2610.37952v12026
Locating Sycophancy Across Training Stages in Open Language Models
Jiarui Yao, Shweta Parihar, Nghia Tuan Bui +2
cs.CLcs.AIarXiv:2610.37788v12026
LEGO-OPD: Factorized Teacher Composition for Multimodal On-Policy Distillation
Jaeyun Shin, Hangeol Chang, Jong Chul Ye
cs.CVcs.AIcs.CLarXiv:2610.00333v12026
Online Learning Without Prior Information
Ashok Cutkosky, Kwabena Boahen
cs.LGstat.MLarXiv:1703.02629v22017
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups
Bum Chul Kwon, Uri Kartoun, Shaan Khurshid +7
cs.HCarXiv:2209.06378v12022
Actions with Receipts: Jointly Binding Claims, Evidence, and Execution for Replayable Tool-Agent Auditing
Miaobo Hu, Shuhao Hu, Xiaobo Guo +4
cs.CRcs.AIcs.CLarXiv:2610.00327v22026
OpenFrontiers: A Collection of Open Research Problems and a Benchmark for Scientific Rediscovery
Jiarui Yao, Ruida Wang, Tong Zhang
cs.AIcs.CLcs.LGarXiv:2610.37739v12026
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables
Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven +1
stat.MLarXiv:1705.07111v12017
Fault-Tolerant Budget Conservation in Distributed Multi-Agent Delegation
Genliang Zhu, Chu Wang
cs.AIcs.CRcs.DCarXiv:2610.00349v12026
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain
Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero +2
cs.CLcs.AIcs.LGarXiv:2011.01103v12020
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
Sohyun Lee, Taeyoung Son, Suha Kwak
cs.CVarXiv:2204.01587v12022
Stability of Galerkin discretizations of a mixed space-time variational formulation of parabolic evolution equations
Rob Stevenson, Jan Westerdiep
math.NAcs.NAarXiv:1902.06279v22019
Where the Error Lives: Spectral Representations of Learned Kohn-Sham Hamiltonians
Fang Sun, Hekai Cheng, Ruoyan Li +4
physics.chem-phcs.AIarXiv:2610.37843v12026
Disentangling and Fusing Neurostructural and Vascular Ageing for Retinal Age Prediction
Junwen Zheng, Li Rong Wang, Anthony Zihan Lin +5
eess.IVarXiv:2609.38264v22026
ContractRL: Shielded Group-Relative Policy Optimization for Auditable Tool-Call Repair
Miaobo Hu, Shuhao Hu, Xiaobo Guo +4
cs.AIcs.CLcs.LGarXiv:2610.00328v22026
Mathematical Transfer in LLMs Follows Reasoning Approach More Than Topic
Sajad Goudarzi, Samaneh Zamanifard, Seyed Amin Seyed Haeri +2
cs.AIarXiv:2610.00331v12026
LLMs as Judges and Examinees for Medical Item Difficulty Prediction
Xiaomeng Xiong, Marcus Walker, Yanlin Jiang
cs.CLcs.AIarXiv:2610.38402v12026
QMagFace: Simple and Accurate Quality-Aware Face Recognition
Philipp Terhörst, Malte Ihlefeld, Marco Huber +4
cs.CVcs.AIarXiv:2111.13475v32021
ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation
Fan Yang, Xin Chang, Chenyu Dang +4
cs.CVarXiv:2007.03200v32020
TrussTutor-Bench: Benchmarking large language models on solution accuracy, sycophancy, and error detection in statics
Evangelos Apostolakis, Erfan Hamdi, Sara Jahedazad +1
cs.CYcs.AIcs.LGarXiv:2610.38917v12026
Quantifying the role of neurons for behavior is a mediation question
Ilenna Simone Jones, Konrad Paul Kording
q-bio.NCarXiv:1905.02024v12019
Monotonicity-Guided Semantic Alignment for Zero-shot Multispeaker Image-to-Speech Synthesis
Lijun Wang, Yixian Lu, Shogo Okada
eess.ASarXiv:2609.38440v12026
Jailbreak Connectivity: Towards Diverse, Transferable, and Universal Multimodal Large Language Model Jailbreak
Xu Zhang, Ziqing Hu, Shuo Han +1
cs.LGcs.AIcs.CRarXiv:2610.38091v12026
The Code Behind the Layout: AI Agents for Analog Layout Generators
Minxing Chu, Anhang Li, Martins Atilla +2
cs.ARcs.AIarXiv:2610.38426v12026
Adaptive mixture variational inference for spike-and-slab regression
Hanqing Li, Yaroslav Golub, Xuewen Lu
stat.MEstat.MLarXiv:2609.38656v12026
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
Qi Bi, Shaodi You, Theo Gevers
cs.CVarXiv:2307.00371v52023
Neural Approaches to Conversational Information Retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett +1
cs.IRcs.CLarXiv:2201.05176v12022
Limits on All Known (and Some Unknown) Approaches to Matrix Multiplication
Josh Alman, Virginia Vassilevska Williams
cs.CCcs.DSarXiv:1810.08671v12018
Forward-Invariant Policy Classes for Safe Reinforcement Learning in Multicopter Control
Chieh Tsai, Muhammad Junayed Hasan Zahed, Jinzhi Shen +5
eess.SYcs.SYarXiv:2609.38655v12026
DecompGym: Benchmarking LLM Agents on Designing Decomposition Algorithms
Sikai Cheng, Tinghan Ye, Arnaud Deza +4
cs.AImath.OCarXiv:2610.38175v12026
Data-Driven Communication Topology and Distributed Controller Synthesis: Control-Aware and Co-Design
Michael C. A. Nestor, Jiaxin Wang, Fei Teng
eess.SYcs.SYarXiv:2609.38522v12026
Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-Following
Perceval Beja-Battais, Alain Grosset{ê}te, Nicolas Vayatis
cs.AIcs.LGmath.OCarXiv:2610.38496v12026
Masked Erosion: How Acceptance Gates Lose Redundant Safeguards in Self-Improving Agents
Hau-Sing So, Daixian Liu, Weicai Long
cs.AIarXiv:2610.38392v12026
Rubricon: Automated Rubric Generation and Refinement for LLM Evaluation and Training
Ulyana Tkachenko, Hui Wen Goh, Guram Gogia +1
cs.AIarXiv:2610.38220v12026
GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal Devices
Yipin Guo, Arun M George, Siddharth Joshi
cs.AIarXiv:2610.38210v12026
PTED: A multi-dimensional two-sample test for scientific inference and generative machine learning
Connor Stone
astro-ph.IMphysics.data-anstat.MLarXiv:2609.38388v12026
Network-wide Configuration Synthesis
Ahmed El-Hassany, Petar Tsankov, Laurent Vanbever +1
cs.NIcs.PLarXiv:1611.02537v22016
Probability-Based Collision Risk Evaluation of Trajectories for Optimal Control Problems with Moving Obstacles
Florian Steppich, Matthias Gerdts
eess.SYcs.SYarXiv:2609.38534v12026
A Frequency Domain Approach to Bounding Riccati Equation Perturbations
Rachel Newton, Laura Balzano, Peter Seiler
eess.SYcs.SYmath.OCarXiv:2609.38515v12026
Active MR k-space Sampling with Reinforcement Learning
Luis Pineda, Sumana Basu, Adriana Romero +2
eess.IVcs.CVarXiv:2007.10469v22020
MetaGrad: Multiple Learning Rates in Online Learning
Tim van Erven, Wouter M. Koolen
cs.LGarXiv:1604.08740v32016
AI-Driven Digital Twin Framework for Warehouse Logistics Automation Optimization
Md Mahinur Alam, Kanita Jerin Tanha, Md Tanjin Alam +2
cs.AIarXiv:2610.38101v12026

Every paper with a summary

UnifiedAttack: Evaluating the Safety of Large Multimodal Models in Synergistic Harmful Image-Text Generation

From Error Prediction to Causal Influence: Auditing SAE Features in Multiple-Choice QA

DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event Sequences

Online Object Tracking, Learning and Parsing with And-Or Graphs

Non-Commutative Lie-Algebraic State-Space Models: Finite-Division Variety Laws, Semidirect Cascades, and Gradient Saddle Escape

Retrospective Open-Vocabulary Memory for Long-Term Object Search

Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks

Interpretable Feature Discovery from Unstructured Data Using LLMs and Statistical Choice Models

Bellman-Certified Rounding for Sparse Policy Deployment in MDPs

A Powerful Generative Model Using Random Weights for the Deep Image Representation

Approaching the Computational Color Constancy as a Classification Problem through Deep Learning

Authorization for Self-Modifying AI Agent Populations: Conserving Authority across Replacement, Forking, and Rollback

Statistical Detection of Positional Bias in LLM-Based Recommender Systems: Methodologies and Empirical Evidence

Adaptive Gradient Quantization for Data-Parallel SGD

DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA Policies

Self-Supervised Latent Action-Conditioned World Modeling for Time Series

Beyond Pixel Reconstruction: Retrieval-Guided Glyph-Aware Restoration for Low-Resource Manchu Historical Documents

Selective Transfer Learning for Groundwater Level Anomaly Forecasting: Accuracy-Risk Trade-offs

SAG-Sep: Sparse Augmented Graphs and Onion-Guided Search for Rounded Capacity Cut Separation

Locating Sycophancy Across Training Stages in Open Language Models

LEGO-OPD: Factorized Teacher Composition for Multimodal On-Policy Distillation

Online Learning Without Prior Information

RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups

Actions with Receipts: Jointly Binding Claims, Evidence, and Execution for Replayable Tool-Agent Auditing

OpenFrontiers: A Collection of Open Research Problems and a Benchmark for Scientific Rediscovery

The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables

Fault-Tolerant Budget Conservation in Distributed Multi-Agent Delegation

Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

Stability of Galerkin discretizations of a mixed space-time variational formulation of parabolic evolution equations

Where the Error Lives: Spectral Representations of Learned Kohn-Sham Hamiltonians

Disentangling and Fusing Neurostructural and Vascular Ageing for Retinal Age Prediction

ContractRL: Shielded Group-Relative Policy Optimization for Auditable Tool-Call Repair

Mathematical Transfer in LLMs Follows Reasoning Approach More Than Topic

LLMs as Judges and Examinees for Medical Item Difficulty Prediction

QMagFace: Simple and Accurate Quality-Aware Face Recognition

ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation

TrussTutor-Bench: Benchmarking large language models on solution accuracy, sycophancy, and error detection in statics

Quantifying the role of neurons for behavior is a mediation question

Monotonicity-Guided Semantic Alignment for Zero-shot Multispeaker Image-to-Speech Synthesis

Jailbreak Connectivity: Towards Diverse, Transferable, and Universal Multimodal Large Language Model Jailbreak

The Code Behind the Layout: AI Agents for Analog Layout Generators

Adaptive mixture variational inference for spike-and-slab regression

Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation

Neural Approaches to Conversational Information Retrieval

Limits on All Known (and Some Unknown) Approaches to Matrix Multiplication

Forward-Invariant Policy Classes for Safe Reinforcement Learning in Multicopter Control

DecompGym: Benchmarking LLM Agents on Designing Decomposition Algorithms

Data-Driven Communication Topology and Distributed Controller Synthesis: Control-Aware and Co-Design

Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-Following

Masked Erosion: How Acceptance Gates Lose Redundant Safeguards in Self-Improving Agents

Rubricon: Automated Rubric Generation and Refinement for LLM Evaluation and Training

GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal Devices

PTED: A multi-dimensional two-sample test for scientific inference and generative machine learning

Network-wide Configuration Synthesis

Probability-Based Collision Risk Evaluation of Trajectories for Optimal Control Problems with Moving Obstacles

A Frequency Domain Approach to Bounding Riccati Equation Perturbations

Active MR k-space Sampling with Reinforcement Learning

MetaGrad: Multiple Learning Rates in Online Learning

AI-Driven Digital Twin Framework for Warehouse Logistics Automation Optimization