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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7,141 to 7,200 of 61,305

Mustango: Toward Controllable Text-to-Music Generation
Jan Melechovsky, Zixun Guo, Deepanway Ghosal +3
eess.ASarXiv:2311.08355v32023
IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik +2
cs.CVcs.GRcs.LGarXiv:2212.07555v32022
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda
Johannes Schneider
cs.AIarXiv:2404.09554v12024
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration
Himabindu Lakkaraju, Ece Kamar, Rich Caruana +1
cs.AIarXiv:1610.09064v32016
In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning
Iliano Fasolino
cs.CRcs.AIcs.CLarXiv:2609.09243v12026
Deep feature compression for collaborative object detection
Hyomin Choi, Ivan V. Bajic
cs.CVarXiv:1802.03931v12018
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
David John Gagne, Hannah M. Christensen, Aneesh C. Subramanian +1
physics.ao-phcs.LGnlin.CDarXiv:1909.04711v12019
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source
Anjiang Wei, Yinlin Deng, Chenyuan Yang +1
cs.SEarXiv:2201.06589v42022
Talking to Itself While Coding: What Makes Comments Help Code Generation?
Dangfeng Pan, Zhensu Sun, Cenyuan Zhang +2
cs.SEcs.AIarXiv:2609.09242v12026
Theory and computation of covariant Lyapunov vectors
Pavel V. Kuptsov, Ulrich Parlitz
nlin.CDarXiv:1105.5228v32011
Neighbor Contrastive Learning on Learnable Graph Augmentation
Xiao Shen, Dewang Sun, Shirui Pan +2
cs.SIarXiv:2301.01404v22023
Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng, Kristy Choi, Jiaming Song +1
cs.LGcs.AIarXiv:2211.00802v22022
Jailbreaking Attack against Multimodal Large Language Model
Zhenxing Niu, Haodong Ren, Xinbo Gao +2
cs.LGcs.CLcs.CRarXiv:2402.02309v12024
Asymptotic Improvements to Quantum Circuits via Qutrits
Pranav Gokhale, Jonathan M. Baker, Casey Duckering +3
quant-phcs.ETarXiv:1905.10481v12019
Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs
Ansuman Mullick, Eray Tüzün
cs.AIarXiv:2609.10413v12026
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
Mengying Sun, Jing Xing, Huijun Wang +2
physics.bio-phcs.LGarXiv:2106.04509v22021
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
Guiliang Liu, Oliver Schulte, Wang Zhu +1
cs.LGstat.MLarXiv:1807.05887v12018
Automated supervised classification of variable stars I. Methodology
J. Debosscher, L. M. Sarro, C. Aerts +4
astro-pharXiv:0711.0703v12007
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey, Avideep Mukherjee, Piyush Rai +1
cs.LGcs.CVarXiv:2201.00308v32022
Community Detection Using A Neighborhood Strength Driven Label Propagation Algorithm
Jierui Xie, Boleslaw K. Szymanski
cs.SIphysics.soc-pharXiv:1105.3264v12011
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John D. Co-Reyes, YuXuan Liu, Abhishek Gupta +3
cs.LGcs.AIstat.MLarXiv:1806.02813v12018
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Vigneshwaran Muralidaran +4
cs.CLarXiv:2106.09460v12021
Dynamic Control Barrier Function-based Model Predictive Control to Safety-Critical Obstacle-Avoidance of Mobile Robot
Zhuozhu Jian, Zihong Yan, Xuanang Lei +4
cs.ROarXiv:2209.08539v12022
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network
Jian Cui, Zirui Lan, Olga Sourina +1
eess.SPcs.LGcs.NEarXiv:2107.09507v42021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Chu Han, Jiatai Lin, Jinhai Mai +15
eess.IVcs.CVq-bio.QMarXiv:2110.08048v12021
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care
Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin +2
cs.HCarXiv:2302.00096v12023
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models
Michael Xieyang Liu, Advait Sarkar, Carina Negreanu +4
cs.HCarXiv:2304.06597v12023
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran +8
cs.CLarXiv:2305.12182v22023
Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts
Dohyeon Kim, Bedionita Soro, Sung Ju Hwang
cs.LGcs.AIcs.CLarXiv:2609.09241v12026
Clause-Learning Algorithms with Many Restarts and Bounded-Width Resolution
Albert Atserias, Johannes Klaus Fichte, Marc Thurley
cs.LOcs.AIarXiv:1401.3868v12014
Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions
Ioannis Panageas, Georgios Piliouras
math.DScs.LGarXiv:1605.00405v22016
Scaling Post-Training Ternarisation to Qwen3-8B Capability Retention, Reproduction, Lossless Packing, and Packed Execution
Anirudh Malik, M Sparsh Mehra, Poojith Devan
cs.LGcs.AIarXiv:2609.09240v12026
Adversarial Examples that Fool Detectors
Jiajun Lu, Hussein Sibai, Evan Fabry
cs.CVcs.AIcs.GRarXiv:1712.02494v12017
Correlation Tracking via Joint Discrimination and Reliability Learning
Chong Sun, Dong Wang, Huchuan Lu +1
cs.CVarXiv:1804.08965v12018
Model-based Pricing for Machine Learning in a Data Marketplace
Lingjiao Chen, Paraschos Koutris, Arun Kumar
cs.DBcs.GTcs.LGarXiv:1805.11450v12018
How Important Is a Neuron?
Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan
cs.LGstat.MLarXiv:1805.12233v12018
Compute-Bounded Security Assurance - Coverage, Verification, and Response under Resource Constraints
Jithin VG, Ditto PS
cs.CRcs.AIarXiv:2609.09229v12026
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer
cs.LGcs.AIarXiv:1807.08364v32018
Infinite attention: NNGP and NTK for deep attention networks
Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein +1
stat.MLcs.LGarXiv:2006.10540v12020
Geometry Conditioning in an Embodied SLM: Training Controls and Robustness Diagnostics in a 0.8B Hybrid Model
Hao Li, Haofei Sun, Lin He
cs.ROcs.AIarXiv:2609.09213v12026
PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Xi Chen, Xiao Wang, Lucas Beyer +16
cs.CVarXiv:2310.09199v22023
Engineering Parallel Algorithms for Community Detection in Massive Networks
Christian L. Staudt, Henning Meyerhenke
cs.DCcs.SIarXiv:1304.4453v42013
Improved matrix algorithms via the Subsampled Randomized Hadamard Transform
Christos Boutsidis, Alex Gittens
cs.DSmath.NAarXiv:1204.0062v42012
AgentHijack: Visual Patch Attacks on Multimodal Computer-Use Agents
Zhihao Liu, Hongyu Sun, Zhiyuan Fu +7
cs.CRcs.AIcs.CYarXiv:2609.09212v12026
An Analysis of the Rayleigh-Stokes problem for a Generalized Second-Grade Fluid
Emilia Bazhlekova, Bangti Jin, Raytcho Lazarov +1
math.NAarXiv:1404.2953v22014
Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling
Michael B. Cohen, Cameron Musco, Christopher Musco
cs.DScs.LGarXiv:1511.07263v22015
Yes, but Did It Work?: Evaluating Variational Inference
Yuling Yao, Aki Vehtari, Daniel Simpson +1
stat.MLstat.COarXiv:1802.02538v22018
Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
Qiqi Xiao, Hao Luo, Chi Zhang
cs.CVarXiv:1710.00478v32017
A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC)
Tobias Englert, Andreas Völz, Felix Mesmer +2
math.OCarXiv:1805.01633v42018
Data-driven reduced-order models via regularized operator inference for a single-injector combustion process
Shane A. McQuarrie, Cheng Huang, Karen E. Willcox
cs.CEarXiv:2008.02862v22020
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
Mohamed Ali Souibgui, Yousri Kessentini
cs.CVarXiv:2010.08764v12020
JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition
Zixiang Chen, Yuheng Lu, Zihao Cheng +8
cs.AIarXiv:2609.10451v12026
Low-Rank Few-Shot Adaptation of Vision-Language Models
Maxime Zanella, Ismail Ben Ayed
cs.CVarXiv:2405.18541v22024
Who is the best player ever? A complex network analysis of the history of professional tennis
Filippo Radicchi
physics.soc-phcs.SIphysics.pop-pharXiv:1101.4028v22011
The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter
Daniel M. Romero, Jon Kleinberg
stat.MLcs.CYphysics.soc-pharXiv:1003.2469v12010
ConvMem: Convolutional Memory for Long-Context Reasoning
Hongming Zhang, Zhaozhen Gu, Fengshuo Bai +6
cs.AIcs.CLarXiv:2609.10441v12026
Radio Frequency Energy Harvesting and Management for Wireless Sensor Networks
A. M. Zungeru, Li-Minn Ang, S. R. S. Prabaharan +1
cs.NIarXiv:1208.4439v22012
Optimality of Large MIMO Detection via Approximate Message Passing
Charles Jeon, Ramina Ghods, Arian Maleki +1
cs.ITarXiv:1510.06095v12015
Micro-Attention for Micro-Expression recognition
Chongyang Wang, Min Peng, Tao Bi +1
cs.CVarXiv:1811.02360v52018
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Kay Liu, Yingtong Dou, Yue Zhao +12
cs.LGcs.SIarXiv:2206.10071v22022

Every paper with a summary

Mustango: Toward Controllable Text-to-Music Generation

IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions

Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda

Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration

In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning

Deep feature compression for collaborative object detection

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source

Talking to Itself While Coding: What Makes Comments Help Code Generation?

Theory and computation of covariant Lyapunov vectors

Neighbor Contrastive Learning on Learnable Graph Augmentation

Concrete Score Matching: Generalized Score Matching for Discrete Data

Jailbreaking Attack against Multimodal Large Language Model

Asymptotic Improvements to Quantum Circuits via Qutrits

Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph

Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees

Automated supervised classification of variable stars I. Methodology

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Community Detection Using A Neighborhood Strength Driven Label Propagation Algorithm

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text

Dynamic Control Barrier Function-based Model Predictive Control to Safety-Critical Obstacle-Avoidance of Mobile Robot

EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels

Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care

"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages

Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts

Clause-Learning Algorithms with Many Restarts and Bounded-Width Resolution

Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions

Scaling Post-Training Ternarisation to Qwen3-8B Capability Retention, Reproduction, Lossless Packing, and Packed Execution

Adversarial Examples that Fool Detectors

Correlation Tracking via Joint Discrimination and Reliability Learning

Model-based Pricing for Machine Learning in a Data Marketplace

How Important Is a Neuron?

Compute-Bounded Security Assurance - Coverage, Verification, and Response under Resource Constraints

EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning

Infinite attention: NNGP and NTK for deep attention networks

Geometry Conditioning in an Embodied SLM: Training Controls and Robustness Diagnostics in a 0.8B Hybrid Model

PaLI-3 Vision Language Models: Smaller, Faster, Stronger

Engineering Parallel Algorithms for Community Detection in Massive Networks

Improved matrix algorithms via the Subsampled Randomized Hadamard Transform

AgentHijack: Visual Patch Attacks on Multimodal Computer-Use Agents

An Analysis of the Rayleigh-Stokes problem for a Generalized Second-Grade Fluid

Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling

Yes, but Did It Work?: Evaluating Variational Inference

Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC)

Data-driven reduced-order models via regularized operator inference for a single-injector combustion process

DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement

JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition

Low-Rank Few-Shot Adaptation of Vision-Language Models

Who is the best player ever? A complex network analysis of the history of professional tennis

The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter

ConvMem: Convolutional Memory for Long-Context Reasoning

Radio Frequency Energy Harvesting and Management for Wireless Sensor Networks

Optimality of Large MIMO Detection via Approximate Message Passing

Micro-Attention for Micro-Expression recognition

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs