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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86,461 to 86,520 of 102,817

Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space
Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis +1
cs.LGstat.MLarXiv:1912.02400v22019
CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks
Pattaraphon Kenny Wongchamcharoen, Kris Gulati, Min Min Fong +1
cs.CYcs.AIcs.MAarXiv:2608.18554v12026
AKRASIA: Stealthy Backdoor Attack on Reasoning-based Code LLMs
Chua Jin Chou, Sarang Nambiar, Murali Srinivasan +1
cs.CRarXiv:2609.01023v22026
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning
Xinshun Wang, Zhongbin Fang, Xia Li +2
cs.CVarXiv:2312.03703v22023
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Xinlei Chen, Zhuang Liu, Saining Xie +1
cs.CVcs.LGarXiv:2401.14404v12024
Deep Hyperspectral Unmixing using Transformer Network
Preetam Ghosh, Swalpa Kumar Roy, Bikram Koirala +2
cs.CVeess.IVarXiv:2203.17076v12022
Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges
Fuxin Zhang, Chunbo Luo, Jialang Xu +2
eess.SParXiv:2207.09647v12022
Compressed sensing performance bounds under Poisson noise
Maxim Raginsky, Rebecca M. Willett, Zachary T. Harmany +1
cs.ITarXiv:0910.5146v32009
High-Quality, Low-Delay Music Coding in the Opus Codec
Jean-Marc Valin, Gregory Maxwell, Timothy B. Terriberry +1
cs.MMcs.SDarXiv:1602.04845v12016
Going Deeper into Action Recognition: A Survey
Samitha Herath, Mehrtash Harandi, Fatih Porikli
cs.CVarXiv:1605.04988v22016
An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability
David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros +4
cs.CLcs.AIarXiv:2504.04462v12025
GANDR: Claim Auditing for Verifiable Legal Answer Generation
Chen Qian, Yimeng Wang, Yu Chen +2
cs.CLcs.AIcs.IRarXiv:2609.10293v12026
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression
Pradeep Ravikumar, Martin J. Wainwright, John D. Lafferty
math.STarXiv:0804.4202v12008
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
Theo X. Olausson, Alex Gu, Benjamin Lipkin +4
cs.CLcs.AIarXiv:2310.15164v22023
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Loic Landrieu, Mohamed Boussaha
cs.CVcs.LGarXiv:1904.02113v12019
A Survey on Neural Architecture Search
Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati
cs.LGcs.CVcs.NEarXiv:1905.01392v22019
RigMo: Unifying Rig and Motion Learning for Generative Animation
Hao Zhang, Jiahao Luo, Bohui Wan +7
cs.GRarXiv:2601.06378v12026
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos
cs.CVarXiv:1708.04607v12017
Generative Artificial Intelligence for Software Engineering -- A Research Agenda
Anh Nguyen-Duc, Beatriz Cabrero-Daniel, Adam Przybylek +12
cs.SEarXiv:2310.18648v12023
MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis
Yihao Chen, Shi Chang, Khaled Chawa +4
cs.SEcs.CLcs.LGarXiv:2607.27146v12026
4MOST - 4-metre Multi-Object Spectroscopic Telescope
Roelof S. de Jong, Olga Bellido-Tirado, Cristina Chiappini +82
astro-ph.IMastro-ph.COastro-ph.GAarXiv:1206.6885v12012
The Ethical Decision Head: Operationalizing Normative Ethics in Autonomous Vehicles via Reinforcement Learning from Human Feedback
Thomas Mbrice, Ammar Ali, Sami Mian +5
cs.LGarXiv:2608.16710v12026
LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering
Gopi Krishnan Rajbahadur, Amir M. Ebrahimi, Boyuan Chen +1
cs.SEcs.AIcs.LGarXiv:2608.31102v12026
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou, Xiao Huang, Daochen Zha +4
cs.LGarXiv:2107.02392v12021
Real-Time Motion Planning with Dynamic Hazards: Classical vs. Learning-Based Methods
Eran Iceland, Alexander Tuisov, Oren Gal +2
cs.ROcs.AIarXiv:2610.12249v12026
IC-Effect: Precise and Efficient Video Effects Editing via In-Context Learning
Yuanhang Li, Yiren Song, Junzhe Bai +4
cs.CVcs.AIarXiv:2512.15635v12025
NeuroSTAR: Automata-guided Neuro-symbolic Specification Formalization
Joy Saha, Trey Woodlief, Sebastian Elbaum +1
cs.FLarXiv:2609.03161v12026
Simplicial degree in complex networks. Applications of Topological Data Analysis to Network Science
Daniel Hernández Serrano, Juan Hernández Serrano, Darío Sánchez Gómez
cs.SImath.ATphysics.soc-pharXiv:1908.02583v22019
Spyre-Accelerated Retrieval-Augmented Generation on IBM LinuxONE: A Cloud-Native Architecture for Secure, High-Throughput Enterprise AI Inference
Sandeep Bokkasam, Pankaj D
cs.AIarXiv:2608.21393v12026
Path Invariance of a Quadrotor System under Cyber Attacks with Theoretical Guarantees
Hamza Mahmood, Usman Ali, Adeel Akhtar
eess.SYcs.SYmath.OCarXiv:2609.32747v12026
Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art
Ilias Azizi, Karima Echihabi, Themis Palpanas
cs.IRcs.PFarXiv:2502.05575v22025
CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification
Yali Du, Hui Sun, San-Zhuo Xi +1
cs.AIcs.SEarXiv:2609.07434v12026
Quantum Image Processing and Its Application to Edge Detection: Theory and Experiment
Xi-Wei Yao, Hengyan Wang, Zeyang Liao +12
quant-pharXiv:1801.01465v12018
QuadTok: Quadtree Visual Tokenizer for Autoregressive Image Generation
Yucheng Mao, Zeyuan Chen, Xiaojun Shan +4
cs.CVarXiv:2610.10497v12026
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
Haw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum
stat.MLcs.LGarXiv:1704.07433v42017
DVDnet: A Fast Network for Deep Video Denoising
Matias Tassano, Julie Delon, Thomas Veit
eess.IVcs.CVarXiv:1906.11890v12019
Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
Runzhe Zhan, Zhihong Huang, Xinyi Yang +3
cs.CLcs.AIarXiv:2510.20780v12025
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack, Sangwoo Mo, Jongheon Jeong +1
cs.LGstat.MLarXiv:2007.08176v22020
Self-Improving CAD Generation Agents with Finite Element Analysis as Feedback
Guijin Son, Jehyun Park, Seyeon Park +2
cs.GRcs.CLarXiv:2605.17448v22026
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Dan Levi, Liran Gispan, Niv Giladi +1
cs.LGstat.MLarXiv:1905.11659v32019
Exploring the Feasibility of ChatGPT for Event Extraction
Jun Gao, Huan Zhao, Changlong Yu +1
cs.CLarXiv:2303.03836v22023
Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Guan-Ting Lin, Jiachen Lian, Tingle Li +4
cs.CLeess.ASarXiv:2503.04721v32025
Revision-Aware Success Prediction from Multi-Attempt Programming Trajectories
Md Faizul Ibne Amin, Yutaka Watanobe, Daniel M. Muepu +4
cs.CYcs.SEarXiv:2608.26169v12026
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
Sarah Filippi, Chris Barnes, Julien Cornebise +1
stat.COarXiv:1106.6280v42011
Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs
Seungwoo Jung, Dohyeok Kwon, Seungmin Cha +4
cs.AIarXiv:2609.00575v22026
Fermionic neural-network states for ab-initio electronic structure
Kenny Choo, Antonio Mezzacapo, Giuseppe Carleo
physics.comp-phcond-mat.dis-nncond-mat.str-elarXiv:1909.12852v12019
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits
Julian Zimmert, Yevgeny Seldin
cs.LGstat.MLarXiv:1807.07623v62018
Correlations and Krylov spread for a non-Hermitian Hamiltonian: Ising chain with a complex-valued transverse magnetic field
E. Medina-Guerra, I. V. Gornyi, Yuval Gefen
quant-phcond-mat.mes-hallcond-mat.stat-mecharXiv:2502.07775v32025
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
Jingkang Wang, Ava Pun, James Tu +5
cs.ROcs.AIcs.CVarXiv:2101.06549v42021
Every Layer Counts: An Exponential $L_2$ Depth Hierarchy for ReLU Networks
Itay Safran
cs.LGarXiv:2608.23877v12026
Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution
Xing Zhang, Yanwei Cui, Guanghui Wang +7
cs.AIcs.MAarXiv:2603.11445v22026
Ranking Based Locality Sensitive Hashing Enabled Cancelable Biometrics: Index-of-Max Hashing
Zhe Jin, Yen-Lung Lai, Jung-Yeon Hwang +2
cs.CVarXiv:1703.05455v22017
Multiple-Input Multiple-Output Gaussian Broadcast Channels with Confidential Messages
Ruoheng Liu, Tie Liu, H. Vincent Poor +1
cs.ITcs.CRarXiv:0903.3786v12009
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey +11
cs.LGcs.AIcs.CLarXiv:2404.01413v22024
A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery
Daniel Litinski
quant-phcond-mat.mes-hallarXiv:1808.02892v32018
PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations
Sasank Annapureddy, Anjaneya Prasad Thamatani
cs.AIarXiv:2609.07910v12026
Compound Prompt Constraints in LLM Code Generation: A Factorial Study of Format, Persona, and Urgency
Shrenik Jadhav, Nickalsa LaPlaca, Caleb Stone +3
cs.SEarXiv:2609.03156v12026
CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis
Zhen Wang, Yiming Gao, Jieyuan Liu +10
q-bio.GNcs.AIcs.CVarXiv:2602.13346v12026
A Unified Analysis of Stochastic Momentum Methods for Deep Learning
Yan Yan, Tianbao Yang, Zhe Li +2
cs.LGstat.MLarXiv:1808.10396v12018
FlashThink: An Early Exit Method For Efficient Reasoning
Guochao Jiang, Guofeng Quan, Zepeng Ding +3
cs.CLcs.AIarXiv:2505.13949v12025

Every paper with a summary

Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space

CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks

AKRASIA: Stealthy Backdoor Attack on Reasoning-based Code LLMs

Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Deep Hyperspectral Unmixing using Transformer Network

Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges

Compressed sensing performance bounds under Poisson noise

High-Quality, Low-Delay Music Coding in the Opus Codec

Going Deeper into Action Recognition: A Survey

An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability

GANDR: Claim Auditing for Verifiable Legal Answer Generation

High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers

Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning

A Survey on Neural Architecture Search

RigMo: Unifying Rig and Motion Learning for Generative Animation

Segmentation-Aware Convolutional Networks Using Local Attention Masks

Generative Artificial Intelligence for Software Engineering -- A Research Agenda

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis

4MOST - 4-metre Multi-Object Spectroscopic Telescope

The Ethical Decision Head: Operationalizing Normative Ethics in Autonomous Vehicles via Reinforcement Learning from Human Feedback

LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

Real-Time Motion Planning with Dynamic Hazards: Classical vs. Learning-Based Methods

IC-Effect: Precise and Efficient Video Effects Editing via In-Context Learning

NeuroSTAR: Automata-guided Neuro-symbolic Specification Formalization

Simplicial degree in complex networks. Applications of Topological Data Analysis to Network Science

Spyre-Accelerated Retrieval-Augmented Generation on IBM LinuxONE: A Cloud-Native Architecture for Secure, High-Throughput Enterprise AI Inference

Path Invariance of a Quadrotor System under Cyber Attacks with Theoretical Guarantees

Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art

CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification

Quantum Image Processing and Its Application to Edge Detection: Theory and Experiment

QuadTok: Quadtree Visual Tokenizer for Autoregressive Image Generation

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

DVDnet: A Fast Network for Deep Video Denoising

Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances

Self-Improving CAD Generation Agents with Finite Element Analysis as Feedback

Evaluating and Calibrating Uncertainty Prediction in Regression Tasks

Exploring the Feasibility of ChatGPT for Event Extraction

Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities

Revision-Aware Success Prediction from Multi-Attempt Programming Trajectories

On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo

Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs

Fermionic neural-network states for ab-initio electronic structure

Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits

Correlations and Krylov spread for a non-Hermitian Hamiltonian: Ising chain with a complex-valued transverse magnetic field

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

Every Layer Counts: An Exponential $L_2$ Depth Hierarchy for ReLU Networks

Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution

Ranking Based Locality Sensitive Hashing Enabled Cancelable Biometrics: Index-of-Max Hashing

Multiple-Input Multiple-Output Gaussian Broadcast Channels with Confidential Messages

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery

PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations

Compound Prompt Constraints in LLM Code Generation: A Factorial Study of Format, Persona, and Urgency

CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis

A Unified Analysis of Stochastic Momentum Methods for Deep Learning

FlashThink: An Early Exit Method For Efficient Reasoning