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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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71,641 to 71,700 of 105,940

Building Seasonal Highways for Residential Energy Hubs: Sizing, planning and operating thermal energy storage
Dario Slaifstein, Mohammad Khosravi, Gautham Ram Chandra Mouli +2
eess.SYcs.SYmath.OCarXiv:2610.01489v12026
Self-extensional logics of formal inconsistency: Decidability and limits for paraconsistency
Marcelo E. Coniglio, Héctor Federico Mallea
cs.LOarXiv:2608.28443v12026
PACE: Towards Surfacing Hidden Conflicts in User Requests
Yoojin Kim, Jihyoung Jang, Hyounghun Kim
cs.CLarXiv:2609.03293v12026
Open Vocabulary Scene Parsing
Hang Zhao, Xavier Puig, Bolei Zhou +2
cs.CVcs.AIarXiv:1703.08769v22017
LANTERN: Illuminating Hidden Mathematical Knowledge in Language Models
Pavel Tikhonov, Elena Tutubalina, Ivan Oseledets +2
cs.CLarXiv:2609.32264v12026
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Yue Gao, Yuan Guo, Zhouhui Lian +2
cs.CVcs.GRarXiv:1910.04987v22019
INTELLECT-3: Technical Report
Prime Intellect Team, Mika Senghaas, Fares Obeid +20
cs.LGcs.AIarXiv:2512.16144v12025
Prior-free and prior-dependent regret bounds for Thompson Sampling
Sébastien Bubeck, Che-Yu Liu
stat.MLcs.LGarXiv:1304.5758v22013
Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li, Tong Zhang
cs.LGcs.AIarXiv:0806.4686v22008
Xtrace: High-Fidelity GPU Intra-Kernel Tracing via Binary-Level Instruction Splicing
Zhuobin Huang, Kai Zhang, Weihao Cui +5
cs.ARarXiv:2609.28769v12026
A Probabilistic U-Net for Segmentation of Ambiguous Images
Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer +6
cs.CVcs.LGcs.NEarXiv:1806.05034v42018
Seeing Through Touch: Tactile-Driven Visual Localization of Material Regions
Seongyu Kim, Seungwoo Lee, Hyeonggon Ryu +2
cs.CVarXiv:2604.11579v12026
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru, Etienne Denis, William L. Hamilton
cs.LGcs.AIstat.MLarXiv:1911.06962v22019
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
Zican Zha, Hao Tang, Yunlian Sun +1
cs.CVarXiv:2210.01439v22022
An Experimental Study of Deep Convolutional Features For Iris Recognition
Shervin Minaee, Amirali Abdolrashidi, Yao Wang
cs.CVcs.LGarXiv:1702.01334v12017
Think Only When You Need with Large Hybrid-Reasoning Models
Lingjie Jiang, Xun Wu, Shaohan Huang +7
cs.CLarXiv:2505.14631v22025
A randomized algorithm for principal component analysis
Vladimir Rokhlin, Arthur Szlam, Mark Tygert
stat.COarXiv:0809.2274v42008
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
Seungmin Lee, Dongwan Kim, Namil Kim +1
cs.CVarXiv:1910.05562v12019
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
Patrick Chao, Edoardo Debenedetti, Alexander Robey +9
cs.CRcs.LGarXiv:2404.01318v52024
Soft GRAND under Channel Uncertainty: Minimax Posterior-Envelope Ordering and Gallager-Exponent Preservation
Behrooz Razeghi
cs.ITmath.ITarXiv:2609.29688v12026
Are We on the Right Way to Assessing LLM-as-a-Judge?
Yuanning Feng, Sinan Wang, Zhengxiang Cheng +2
cs.CLcs.AIarXiv:2512.16041v12025
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Sebastian Vollmer, Bilal A. Mateen, Gergo Bohner +15
cs.CYcs.LGstat.AParXiv:1812.10404v12018
Bias and Debias in Recommender System: A Survey and Future Directions
Jiawei Chen, Hande Dong, Xiang Wang +3
cs.IRarXiv:2010.03240v22020
Revisiting Membership Inference Under Realistic Assumptions
Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer +2
cs.CRcs.LGstat.MLarXiv:2005.10881v52020
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu
stat.MLcs.DCcs.LGarXiv:1909.05125v12019
Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR
Fanfan Liu, Youyang Yin, Peng Shi +3
cs.CLarXiv:2602.05261v12026
Combining Feature and Instance Attribution to Detect Artifacts
Pouya Pezeshkpour, Sarthak Jain, Sameer Singh +1
cs.CLcs.LGarXiv:2107.00323v22021
A Three-Layer Framework for Measuring Names and Its Census Application on a Token Launchpad
Dingding Cao, Yujing Zhong, Han Wang +3
cs.CEarXiv:2609.37572v22026
Exploring Models and Data for Remote Sensing Image Caption Generation
Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng +1
cs.CVarXiv:1712.07835v12017
EVA01: Unified Native 3D Understanding and Generation via Mixture-of-Transformers
Zongyuan Yang, Mingjing Yi, Wanli Ma +8
cs.CVarXiv:2605.16745v12026
Revisiting Parameter Server in LLM Post-Training
Xinyi Wan, Penghui Qi, Guangxing Huang +3
cs.DCcs.AIarXiv:2601.19362v12026
Credit Risk Analysis using Quantum Computers
Daniel J. Egger, Ricardo Gacía Gutiérrez, Jordi Cahué Mestre +1
quant-pharXiv:1907.03044v12019
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg +2
cs.CVarXiv:2301.10241v22023
Fusion Estimation in Multi-sensor Systems for Data Packets with Disrupted Identities
Haoyuan Xu, Yuzhe Li
eess.SYcs.SYarXiv:2609.11062v12026
Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis
Shufan Li, Greg Heinrich, Hanrong Ye +4
cs.CVarXiv:2606.29814v22026
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
Dawei Du, Yuankai Qi, Hongyang Yu +6
cs.CVarXiv:1804.00518v12018
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective
Shixia Liu, Xiting Wang, Mengchen Liu +1
cs.LGstat.MLarXiv:1702.01226v12017
Separation Framework: An Enabler for Cooperative and D2D Communication for Future 5G Networks
Hafiz Attaul Mustafa, Muhammad Ali Imran, Muhammad Zeeshan Shakir +2
cs.NIarXiv:1604.02636v12016
Self-Calibrating Neural Radiance Fields
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy +3
cs.CVarXiv:2108.13826v22021
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
Zhenwen Liang, Sidi Lu, Wenhao Yu +4
cs.LGcs.AIarXiv:2512.15687v12025
Libri-Light: A Benchmark for ASR with Limited or No Supervision
Jacob Kahn, Morgane Rivière, Weiyi Zheng +12
cs.CLcs.SDeess.ASarXiv:1912.07875v12019
Parameter Sensitivity Analysis for Aerial LiDAR-Inertial Odometries in low-altitude flights
Robert Milijas, Jose Ramiro Martinez-de Dios, Stjepan Bogdan
cs.ROarXiv:2609.12837v12026
SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau, Douwe Kiela
cs.CLarXiv:1803.05449v12018
A Unified Optimism-Agnostic Framework for Linear Bandits over Spherical Action Sets
Arda Güçlü, Subhonmesh Bose, John R. Birge
stat.MLcs.LGarXiv:2609.32149v12026
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao +2
cs.CVarXiv:1803.07487v32018
StateAFL: Greybox Fuzzing for Stateful Network Servers
Roberto Natella
cs.CRcs.OScs.SEarXiv:2110.06253v22021
Measuring Epistemic Resilience of LLMs Under Misleading Medical Context
Hongjian Zhou, Xinyu Zou, Jinge Wu +19
cs.CLarXiv:2606.12291v22026
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta +6
cs.CVcs.AIcs.LGarXiv:2211.13218v22022
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis, Paul Viallard, George Deligiannidis +1
stat.MLcs.LGarXiv:2404.17442v22024
Can large language models build causal graphs?
Stephanie Long, Tibor Schuster, Alexandre Piché
cs.CLcs.AIarXiv:2303.05279v22023
CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo, Kai Han, Han Wu +4
cs.CVarXiv:2107.06263v32021
DEER: Draft with Diffusion, Verify with Autoregressive Models
Zicong Cheng, Guo-Wei Yang, Jia Li +3
cs.LGcs.AIarXiv:2512.15176v12025
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
Chenhui Deng, Zichao Yue, Cunxi Yu +4
cs.LGcs.ARarXiv:2403.01317v42024
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Yifan Zhang, Ying Wei, Qingyao Wu +4
cs.CVeess.IVarXiv:2007.07222v12020
Poisson-Corrector Complexity Bounds for Moreau--Yosida Unadjusted Langevin Sampling
Yuchen Xin, Zhihua Zhang
cs.LGarXiv:2609.12594v12026
Addressing Failure Prediction by Learning Model Confidence
Charles Corbière, Nicolas Thome, Avner Bar-Hen +2
cs.CVcs.LGstat.MLarXiv:1910.04851v22019
Adversarial Spatio-Temporal Learning for Video Deblurring
Kaihao Zhang, Wenhan Luo, Yiran Zhong +3
cs.CVarXiv:1804.00533v22018
MAC: Mining Activity Concepts for Language-based Temporal Localization
Runzhou Ge, Jiyang Gao, Kan Chen +1
cs.CVarXiv:1811.08925v12018
Tracing Agentic Failure from the Flow of Success
Samuel Yeh, Yiwen Zhu, Shaleen Deep +1
cs.AIcs.CLarXiv:2607.12747v12026
Generative Models for Effective ML on Private, Decentralized Datasets
Sean Augenstein, H. Brendan McMahan, Daniel Ramage +5
cs.LGstat.MLarXiv:1911.06679v22019

Every paper with a summary

Building Seasonal Highways for Residential Energy Hubs: Sizing, planning and operating thermal energy storage

Self-extensional logics of formal inconsistency: Decidability and limits for paraconsistency

PACE: Towards Surfacing Hidden Conflicts in User Requests

Open Vocabulary Scene Parsing

LANTERN: Illuminating Hidden Mathematical Knowledge in Language Models

Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning

INTELLECT-3: Technical Report

Prior-free and prior-dependent regret bounds for Thompson Sampling

Sparse Online Learning via Truncated Gradient

Xtrace: High-Fidelity GPU Intra-Kernel Tracing via Binary-Level Instruction Splicing

A Probabilistic U-Net for Segmentation of Ambiguous Images

Seeing Through Touch: Tactile-Driven Visual Localization of Material Regions

Inductive Relation Prediction by Subgraph Reasoning

Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

An Experimental Study of Deep Convolutional Features For Iris Recognition

Think Only When You Need with Large Hybrid-Reasoning Models

A randomized algorithm for principal component analysis

Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Soft GRAND under Channel Uncertainty: Minimax Posterior-Envelope Ordering and Gallager-Exponent Preservation

Are We on the Right Way to Assessing LLM-as-a-Judge?

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness

Bias and Debias in Recommender System: A Survey and Future Directions

Revisiting Membership Inference Under Realistic Assumptions

Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging

Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR

Combining Feature and Instance Attribution to Detect Artifacts

A Three-Layer Framework for Measuring Names and Its Census Application on a Token Launchpad

Exploring Models and Data for Remote Sensing Image Caption Generation

EVA01: Unified Native 3D Understanding and Generation via Mixture-of-Transformers

Revisiting Parameter Server in LLM Post-Training

Credit Risk Analysis using Quantum Computers

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

Fusion Estimation in Multi-sensor Systems for Data Packets with Disrupted Identities

Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis

The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking

Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective

Separation Framework: An Enabler for Cooperative and D2D Communication for Future 5G Networks

Self-Calibrating Neural Radiance Fields

Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning

Libri-Light: A Benchmark for ASR with Limited or No Supervision

Parameter Sensitivity Analysis for Aerial LiDAR-Inertial Odometries in low-altitude flights

SentEval: An Evaluation Toolkit for Universal Sentence Representations

A Unified Optimism-Agnostic Framework for Linear Bandits over Spherical Action Sets

FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors

StateAFL: Greybox Fuzzing for Stateful Network Servers

Measuring Epistemic Resilience of LLMs Under Misleading Medical Context

CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets

Can large language models build causal graphs?

CMT: Convolutional Neural Networks Meet Vision Transformers

DEER: Draft with Diffusion, Verify with Autoregressive Models

Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Poisson-Corrector Complexity Bounds for Moreau--Yosida Unadjusted Langevin Sampling

Addressing Failure Prediction by Learning Model Confidence

Adversarial Spatio-Temporal Learning for Video Deblurring

MAC: Mining Activity Concepts for Language-based Temporal Localization

Tracing Agentic Failure from the Flow of Success

Generative Models for Effective ML on Private, Decentralized Datasets