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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76,861 to 76,920 of 104,168

Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Sen Xu, Yi Zhou, Wei Wang +7
cs.AIcs.CLarXiv:2511.06221v12025
EEdit: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing
Zexuan Yan, Yue Ma, Chang Zou +3
cs.CVarXiv:2503.10270v32025
Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior Recommendation
Seunghan Lee, Hyunsik Yoo, Jian Kang +2
cs.AIcs.LGarXiv:2608.22920v12026
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu, Yujun Shen, Deli Zhao +1
cs.CVarXiv:2004.00049v32020
Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities
Pablo Benalcazar, Maciej Kalka, Wilian Guamán +1
cs.LGcs.CYarXiv:2609.01680v12026
SMOPD: Selective Token-Entropy Masking for Dirty-History Multi-Turn On-Policy Self-Distillation
Chenyang Jiang, Changhan Huang
cs.LGcs.AIarXiv:2608.14647v12026
A Survey of Deep Active Learning
Pengzhen Ren, Yun Xiao, Xiaojun Chang +5
cs.LGstat.MLarXiv:2009.00236v22020
Stemming Hallucination in Language Models Using a Licensing Oracle
Simeon Emanuilov, Richard Ackermann
cs.CLcs.AIcs.LGarXiv:2511.06073v12025
Communication through coherent control of quantum channels
Alastair A. Abbott, Julian Wechs, Dominic Horsman +2
quant-pharXiv:1810.09826v32018
ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration
Yifei Chen, Guanting Dong, Zhicheng Dou
cs.AIarXiv:2601.06860v22026
Mining Latent Classes for Few-shot Segmentation
Lihe Yang, Wei Zhuo, Lei Qi +2
cs.CVarXiv:2103.15402v32021
The Safety Operator: Modulating the Expression of Safety Instructions via Spectral Optimization
Benoit Dherin, Michael Munn, Xavier Gonzalvo +14
cs.AIarXiv:2609.36434v12026
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Zhijiang Guo, Yan Zhang, Zhiyang Teng +1
cs.CLarXiv:1908.05957v22019
Interior Point Differential Dynamic Programming
Andrei Pavlov, Iman Shames, Chris Manzie
eess.SYcs.SYmath.OCarXiv:2004.12710v22020
Semantic Foggy Scene Understanding with Synthetic Data
Christos Sakaridis, Dengxin Dai, Luc Van Gool
cs.CVarXiv:1708.07819v32017
A Unified MPC Framework for Whole-Body Dynamic Locomotion and Manipulation
Jean-Pierre Sleiman, Farbod Farshidian, Maria Vittoria Minniti +1
cs.ROarXiv:2103.00946v12021
GeoReform: Reflective Formalization Evolution for Multimodal Geometry Problem Solving
Jialu Wang, Ruichen Zhang, Xiaoou Liu +2
cs.AIarXiv:2610.12391v12026
Everything You Always Wanted to Know About LOCC (But Were Afraid to Ask)
Eric Chitambar, Debbie Leung, Laura Mancinska +2
quant-pharXiv:1210.4583v22012
Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings
Aakriti Agrawal, Gouthaman KV, Rohith Aralikatti +6
cs.CVcs.CLarXiv:2511.05017v32025
The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers
Daniel Buschek, Martin Zürn, Malin Eiband
cs.HCcs.CLarXiv:2101.09157v12021
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
Zihan Ding, Chi Jin
cs.LGarXiv:2309.16984v22023
Foam-Agent: A Large Language Model-Based Multi-Agent Framework for Automating Computational Fluid Dynamics Workflows
Ling Yue, Nithin Somasekharan, Tingwen Zhang +4
cs.AIcs.MAarXiv:2505.04997v32025
ThreatLens: Evidence-Guided Ranking of High-Priority CVEs
Soroush Motamedi Sedeh, Panteha Shahrivar, Malaika Qureshi +2
cs.CRarXiv:2608.22306v12026
Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance
Giles Hooker, Lucas Mentch, Siyu Zhou
stat.MEcs.LGstat.MLarXiv:1905.03151v22019
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints
Joe G Greener, Shaun M Kandathil, David T Jones
q-bio.BMarXiv:1811.12355v42018
Heat kernel based community detection
Kyle Kloster, David F. Gleich
cs.SIcs.DSphysics.soc-pharXiv:1403.3148v42014
Generating cyclic pivot Gray codes for well-ordered $k$-degenerate graphs in constant amortized time
Lei Dong, Dennis Wong, Bowie Liu +4
cs.DSarXiv:2610.09410v12026
OralGPT-Omni: A Versatile Dental Multimodal Large Language Model
Jing Hao, Yuci Liang, Lizhuo Lin +12
cs.CVcs.MMarXiv:2511.22055v12025
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
stat.MLcs.LGarXiv:1506.00779v32015
LiveTradeBench: Seeking Real-World Alpha with Large Language Models
Haofei Yu, Fenghai Li, Jiaxuan You
q-fin.TRcs.AIcs.CEarXiv:2511.03628v12025
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild, Micah Goldblum, Arjun Gupta +2
cs.LGcs.CRcs.CVarXiv:2006.12557v32020
ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization
Chen Yang, Jiahao Mai, Xuan Cao +3
stat.APstat.COarXiv:2303.10388v32023
DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning
Haoyu Huang, Jiaxin Bai, Shujie Liu +6
cs.CLcs.AIarXiv:2605.10488v12026
EAGER: Enhancing Generative Event Extraction via Reinforcement Learning with Verifiable Rewards
Omar Adjali, Siting Liang, Omair Shahzad Bhatti +1
cs.CLarXiv:2609.29230v12026
Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control
Qiong Wu, Xu Chen, Zhi Zhou +2
cs.NIcs.AIcs.DCarXiv:2101.08391v12021
Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual Regularization
Zhouyu Zhang, Chih-Yuan Chiu, Glen Chou
cs.ROcs.LGarXiv:2610.09350v12026
$C_4$-Equivariant Flow Matching on Anisotropic Power-Diagram Graphs for Microstructure Generation
Dawid Lipinski, Jixiang Qing, Henry Moss
cs.LGarXiv:2610.11549v12026
Prosumer Synchronisation Risk: Impacts of Time-Varying Tariffs on Distribution Network Expansion
Dillon Zadoks, Alfredo Oneto, Carlo Tajoli +4
eess.SYarXiv:2609.02174v12026
Structure-preserving full- and low-rank exponential methods for the optimal control of Lindblad equations
Hao Chen, Alfio Borzi
math.NAcs.NAarXiv:2610.09403v12026
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey
Hamza Kheddar, Mustapha Hemis, Yassine Himeur
cs.SDcs.AIeess.ASarXiv:2403.01255v22024
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories
Wonbong Jang, Lourdes Agapito
cs.GRcs.CVcs.LGarXiv:2109.01750v12021
RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance
Yiming Liu, Ben Wan, Tongxuan Liu +5
cs.CVarXiv:2609.36433v12026
Calibrating Factual Knowledge in Pretrained Language Models
Qingxiu Dong, Damai Dai, Yifan Song +3
cs.CLarXiv:2210.03329v22022
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung, SeongUk Park, Jangho Kim +1
cs.LGcs.AIcs.CVarXiv:2002.01775v32020
TraceRouter: Robust Safety for Large Foundation Models via Path-Level Intervention
Chuancheng Shi, Shangze Li, Wenjun Lu +5
cs.CVcs.AIcs.CYarXiv:2601.21900v22026
Decoding-time Realignment of Language Models
Tianlin Liu, Shangmin Guo, Leonardo Bianco +7
cs.LGcs.AIcs.CLarXiv:2402.02992v22024
FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels
Jiedong Jiang, Wanyi He, Yuefeng Wang +8
cs.LGcs.AIcs.FLarXiv:2511.02872v42025
On the Learnability of Watermarks for Language Models
Chenchen Gu, Xiang Lisa Li, Percy Liang +1
cs.LGcs.CLcs.CRarXiv:2312.04469v32023
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
Long Xin, Pin Wang, Ching-Yao Chan +3
cs.LGcs.ROstat.MLarXiv:1906.02815v12019
PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders
Chloé Hashimoto-Cullen, Ghislain Agoua, Benjamin Guedj +1
stat.MLcs.LGarXiv:2609.05212v12026
SE-ADD: Self-Evolving Audio Deepfake Detection with Mistake-Driven Supervision
Rong Wan, Wei Xie, Jiaxi Li +4
cs.SDcs.LGarXiv:2609.39679v12026
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
Meng Tang, Yimin Liu, Louis J. Durlofsky
cs.LGphysics.comp-phstat.MLarXiv:1908.05823v12019
TutorLoop: Regulating Student Learning Behaviors via Sensor-in-the-Loop Generative Feedback
Songlin Xu, Xinyu Zhang
cs.HCcs.AIarXiv:2610.09400v12026
Efficient Training with Foresight: Multi-Token Auxiliary Supervision for Autoregressive Image Generation
Guo Niu, Xiongfei Yao, Teng Wang +1
cs.CVarXiv:2608.25386v12026
Community detection in node-attributed social networks: a survey
Petr Chunaev
cs.SIcs.LGcs.PFarXiv:1912.09816v22019
PyRoki: A Modular Toolkit for Robot Kinematic Optimization
Chung Min Kim, Brent Yi, Hongsuk Choi +3
cs.ROarXiv:2505.03728v12025
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems
Lei Zhang, David Zhang
cs.LGarXiv:1505.06405v12015
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification
Ammarah Farooq, Muhammad Awais, Josef Kittler +1
cs.CVcs.LGarXiv:2101.08238v32021
Adversarial Multi-Criteria Learning for Chinese Word Segmentation
Xinchi Chen, Zhan Shi, Xipeng Qiu +1
cs.CLarXiv:1704.07556v12017
Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning
Mahmoud Selim, Cristina Cipriani, Karl H. Johansson
cs.LGcs.AIcs.ROarXiv:2609.06882v12026

Every paper with a summary

Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B

EEdit: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing

Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior Recommendation

In-Domain GAN Inversion for Real Image Editing

Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities

SMOPD: Selective Token-Entropy Masking for Dirty-History Multi-Turn On-Policy Self-Distillation

A Survey of Deep Active Learning

Stemming Hallucination in Language Models Using a Licensing Oracle

Communication through coherent control of quantum channels

ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration

Mining Latent Classes for Few-shot Segmentation

The Safety Operator: Modulating the Expression of Safety Instructions via Spectral Optimization

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

Interior Point Differential Dynamic Programming

Semantic Foggy Scene Understanding with Synthetic Data

A Unified MPC Framework for Whole-Body Dynamic Locomotion and Manipulation

GeoReform: Reflective Formalization Evolution for Multimodal Geometry Problem Solving

Everything You Always Wanted to Know About LOCC (But Were Afraid to Ask)

Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings

The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers

Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Foam-Agent: A Large Language Model-Based Multi-Agent Framework for Automating Computational Fluid Dynamics Workflows

ThreatLens: Evidence-Guided Ranking of High-Priority CVEs

Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance

Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints

Heat kernel based community detection

Generating cyclic pivot Gray codes for well-ordered $k$-degenerate graphs in constant amortized time

OralGPT-Omni: A Versatile Dental Multimodal Large Language Model

Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays

LiveTradeBench: Seeking Real-World Alpha with Large Language Models

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization

DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning

EAGER: Enhancing Generative Event Extraction via Reinforcement Learning with Verifiable Rewards

Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control

Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual Regularization

$C_4$-Equivariant Flow Matching on Anisotropic Power-Diagram Graphs for Microstructure Generation

Prosumer Synchronisation Risk: Impacts of Time-Varying Tariffs on Distribution Network Expansion

Structure-preserving full- and low-rank exponential methods for the optimal control of Lindblad equations

Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey

CodeNeRF: Disentangled Neural Radiance Fields for Object Categories

RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance

Calibrating Factual Knowledge in Pretrained Language Models

Feature-map-level Online Adversarial Knowledge Distillation

TraceRouter: Robust Safety for Large Foundation Models via Path-Level Intervention

Decoding-time Realignment of Language Models

FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels

On the Learnability of Watermarks for Language Models

Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks

PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders

SE-ADD: Self-Evolving Audio Deepfake Detection with Mistake-Driven Supervision

A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

TutorLoop: Regulating Student Learning Behaviors via Sensor-in-the-Loop Generative Feedback

Efficient Training with Foresight: Multi-Token Auxiliary Supervision for Autoregressive Image Generation

Community detection in node-attributed social networks: a survey

PyRoki: A Modular Toolkit for Robot Kinematic Optimization

Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems

AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification

Adversarial Multi-Criteria Learning for Chinese Word Segmentation

Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning