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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86,521 to 86,580 of 103,014

It is Not Yet Another Tool: Creating and Deploying an Agentic AI Companion in a Security Operations Center
Kritan Banstola, Faayed Al Faisal, Duy Dao +3
cs.CRcs.AIarXiv:2609.06250v12026
Large-Scale Optimal Transport and Mapping Estimation
Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary +3
stat.MLarXiv:1711.02283v22017
R Package ASMap: Efficient Genetic Linkage Map Construction and Diagnosis
Julian Taylor, David Butler
stat.COarXiv:1705.06916v12017
Optimal low-rank approximations of Bayesian linear inverse problems
Alessio Spantini, Antti Solonen, Tiangang Cui +3
math.NAstat.COstat.MEarXiv:1407.3463v22014
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng +7
cs.LGcs.AIcs.CLarXiv:2404.00282v32024
Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization
Shiyun Wa, Yifei Wang, Anna G. Green +2
cs.LGarXiv:2609.00189v12026
SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning
Hao Wu, Kin Whye Chew, Yizhan Han +2
cs.DCcs.LGarXiv:2608.24516v12026
Composable Trust Infrastructure for Manufacturing Knowledge Graphs: Cross-System Provenance, Temporal Reasoning, and Decision Traceability
Grama Chethan
cs.AIcs.SEarXiv:2608.21418v12026
Disaggregated Quantization: Specializing LLM Prefill and Decode
Andrei Panferov, Maximilian Kleinegger, Sweta Priyadarshi +2
cs.LGarXiv:2609.26333v12026
When Listening Becomes Easier: Scrubbing Visual Cues for Shortcut-Free VLAs
Jasper Gerigk, Kenzo Aspuru-Takata, Chin-Hsuan Wu +3
cs.ROcs.CVcs.LGarXiv:2610.10912v12026
Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz methods
Anna Ma, Deanna Needell, Aaditya Ramdas
math.NAarXiv:1503.08235v32015
From source to target and back: symmetric bi-directional adaptive GAN
Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi +1
cs.CVarXiv:1705.08824v22017
Vulnerable Open Source Dependencies: Counting Those That Matter
Ivan Pashchenko, Henrik Plate, Serena Elisa Ponta +2
cs.SEcs.CRarXiv:1808.09753v12018
Random Weight Factorization Improves the Training of Continuous Neural Representations
Sifan Wang, Hanwen Wang, Jacob H. Seidman +1
cs.LGarXiv:2210.01274v22022
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
Kun Yi, Qi Zhang, Wei Fan +7
cs.LGcs.AIarXiv:2311.06184v12023
MMR-Bench: A Comprehensive Benchmark for Multimodal LLM Routing
Haoxuan Ma, Guannan Lai, Han-Jia Ye
cs.AIarXiv:2601.17814v12026
Modeling echo chambers and polarization dynamics in social networks
Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov +1
physics.soc-phcs.SIarXiv:1906.12325v22019
VoxReason: Auditing Source-Grounded Speech Plans Before Synthesis
Mengzhe Geng
cs.SDcs.CLcs.LGarXiv:2609.03203v32026
Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating
Guang Yang, Changhao Guan, Chao Huang +2
cs.CLarXiv:2610.05800v12026
Acoustic Scene Classification
Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell +1
cs.SDcs.LGarXiv:1411.3715v12014
Redefining Retrieval Evaluation in the Era of LLMs
Giovanni Trappolini, Florin Cuconasu, Simone Filice +2
cs.CLcs.IRarXiv:2510.21440v12025
Modulating early visual processing by language
Harm de Vries, Florian Strub, Jérémie Mary +3
cs.CVcs.CLcs.LGarXiv:1707.00683v32017
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
Keli Zhang, Marcus Kalander, Min Zhou +2
cs.LGcs.AIcs.SIarXiv:2105.03092v12021
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
Chenxi Wu, Min Zhu, Qinyang Tan +2
physics.comp-phcs.LGarXiv:2207.10289v12022
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data
Jun Yu, HaiYing Wang, Mingyao Ai +1
stat.MEcs.DCstat.COarXiv:2005.10435v32020
Verifiable Quantum Advantage and Computation via Quantum Circuit Obfuscation
Alexandru Gheorghiu, Aparna Gupte, Vojtěch Havlíček +1
quant-phcs.CRarXiv:2609.40289v12026
The Loss Floor of Denoising Score Matching: Fisher Geometry from Schrödinger Bridges
Avinash Raju, Kai Zhang
cs.LGcond-mat.stat-mecharXiv:2608.23916v12026
Analytical Channel Models for Millimeter Wave UAV Networks under Hovering Fluctuations
Mohammad Taghi Dabiri, Hossein Safi, Saeedeh Parsaeefard +1
eess.SParXiv:1905.01477v12019
Adaptive Smolyak Pseudospectral Approximations
Patrick R. Conrad, Youssef M. Marzouk
math.NAarXiv:1209.1406v22012
CinematicVQA: Benchmarking Film-Grammar Reasoning in Large Vision-Language Models
Shuo Xing, Pooja Verlani, Balu Adsumilli +1
cs.CVarXiv:2609.28813v12026
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
Fabian Manhardt, Wadim Kehl, Adrien Gaidon
cs.CVarXiv:1812.02781v32018
A Dynamic Intermediate Representation for Hybrid Quantum-Classical Programs
Alex Rice, Chris Heunen, Tobias Grosser
cs.PLquant-pharXiv:2609.01037v12026
AdaState: Self-Evolving Anchors for Streaming Video Generation
Yusuf Dalva, Pinar Yanardag
cs.CVarXiv:2605.30349v12026
Base Models Can Reason By Taking a Cue From Training Data
Sophie L. Wang, Amil Dravid, Rulin Shao +3
cs.LGcs.AIcs.CLarXiv:2610.06851v12026
Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy
Stephen Meisenbacher, Vlad Garbuz, Chirill Donos +5
cs.CLarXiv:2608.19006v12026
Learning Stochastic Recurrent Networks
Justin Bayer, Christian Osendorfer
stat.MLcs.LGarXiv:1411.7610v32014
Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness
Xiang Fang, Wanlong Fang, Wei Ji
cs.CVarXiv:2605.30745v12026
Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable
Laxman Dhulipala, Guy E. Blelloch, Julian Shun
cs.DScs.DCarXiv:1805.05208v42018
SNLP: Layer-Parallel Inference via Structured Newton Corrections
Ligong Han, Kai Xu, Hao Wang +1
cs.LGarXiv:2605.17842v32026
Atomic-SNLI: Fine-Grained Natural Language Inference through Atomic Fact Decomposition
Minghui Huang
cs.CLcs.AIarXiv:2601.06528v12026
Generating 3D People in Scenes without People
Yan Zhang, Mohamed Hassan, Heiko Neumann +2
cs.CVarXiv:1912.02923v32019
Data-driven Methods Applied to Soft Robot Modeling and Control: A Review
Zixi Chen, Federico Renda, Alexia Le Gall +6
cs.ROarXiv:2305.12137v32023
Decoupling Exploration from Optimization in RLVR
Saif Punjwani, Micah Goldblum
cs.LGcs.AIcs.CLarXiv:2610.10536v12026
A Context-Aware User-Item Representation Learning for Item Recommendation
Libing Wu, Cong Quan, Chenliang Li +2
cs.IRarXiv:1712.02342v52017
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Feng Yu, Yanqiao Zhu, Qiang Liu +3
cs.IRcs.LGarXiv:2005.02844v12020
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang +3
eess.IVcs.CVarXiv:2310.19288v12023
RocketEval: Efficient Automated LLM Evaluation via Grading Checklist
Tianjun Wei, Wei Wen, Ruizhi Qiao +2
cs.CLarXiv:2503.05142v12025
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Felix Friedrich, Manuel Brack, Lukas Struppek +4
cs.LGcs.AIcs.CVarXiv:2302.10893v32023
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
Zhenhan Fang, Aixin Tan, Jian Huang
stat.MLcs.LGarXiv:2605.08561v12026
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
Luyu Gao, Yunyi Zhang, Jiawei Han +1
cs.LGcs.CLcs.IRarXiv:2101.06983v22021
Nonlinear filtering stabilizations for the quasi-geostrophic equations
Lander Besabe, Sachin Kumar, Annalisa Quaini
math.NAphysics.comp-pharXiv:2609.16983v12026
The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow
Raphaël Berthier
cs.LGmath.OCstat.MLarXiv:2609.01034v12026
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
Minbyul Jeong, Jiwoong Sohn, Mujeen Sung +1
cs.CLcs.AIcs.IRarXiv:2401.15269v32024
Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach
Andrey Bernstein, Emiliano Dall'Anese
math.OCarXiv:1711.01627v52017
Faceting for direction-dependent spectral deconvolution
C. Tasse, B. Hugo, M. Mirmont +7
astro-ph.IMarXiv:1712.02078v22017
A Distributional Framework for Data Valuation
Amirata Ghorbani, Michael P. Kim, James Zou
cs.LGstat.MLarXiv:2002.12334v12020
Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective
Weijie Wang, Qihang Cao, Sensen Gao +10
cs.CVcs.AIcs.GRarXiv:2604.14025v12026
Sliced Wasserstein Kernel for Persistence Diagrams
Mathieu Carrière, Marco Cuturi, Steve Oudot
cs.CGmath.ATstat.MLarXiv:1706.03358v32017
Phoneme-Guided Initialization for LLM-based Speech Recognition
Ryo Magoshi, Shinsuke Sakai, Tatsuya Kawahara
eess.AScs.CLcs.SDarXiv:2610.08994v12026
Retrieval-augmented generation vs. deterministic tax computation in multi-agent financial advisory: A 2x2 factorial experiment
Aryan Brar, Justin Du, Avery Lor +2
cs.AIarXiv:2608.23908v12026

Every paper with a summary

It is Not Yet Another Tool: Creating and Deploying an Agentic AI Companion in a Security Operations Center

Large-Scale Optimal Transport and Mapping Estimation

R Package ASMap: Efficient Genetic Linkage Map Construction and Diagnosis

Optimal low-rank approximations of Bayesian linear inverse problems

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization

SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning

Composable Trust Infrastructure for Manufacturing Knowledge Graphs: Cross-System Provenance, Temporal Reasoning, and Decision Traceability

Disaggregated Quantization: Specializing LLM Prefill and Decode

When Listening Becomes Easier: Scrubbing Visual Cues for Shortcut-Free VLAs

Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz methods

From source to target and back: symmetric bi-directional adaptive GAN

Vulnerable Open Source Dependencies: Counting Those That Matter

Random Weight Factorization Improves the Training of Continuous Neural Representations

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

MMR-Bench: A Comprehensive Benchmark for Multimodal LLM Routing

Modeling echo chambers and polarization dynamics in social networks

VoxReason: Auditing Source-Grounded Speech Plans Before Synthesis

Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating

Acoustic Scene Classification

Redefining Retrieval Evaluation in the Era of LLMs

Modulating early visual processing by language

An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks

A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks

Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data

Verifiable Quantum Advantage and Computation via Quantum Circuit Obfuscation

The Loss Floor of Denoising Score Matching: Fisher Geometry from Schrödinger Bridges

Analytical Channel Models for Millimeter Wave UAV Networks under Hovering Fluctuations

Adaptive Smolyak Pseudospectral Approximations

CinematicVQA: Benchmarking Film-Grammar Reasoning in Large Vision-Language Models

ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape

A Dynamic Intermediate Representation for Hybrid Quantum-Classical Programs

AdaState: Self-Evolving Anchors for Streaming Video Generation

Base Models Can Reason By Taking a Cue From Training Data

Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy

Learning Stochastic Recurrent Networks

Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness

Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable

SNLP: Layer-Parallel Inference via Structured Newton Corrections

Atomic-SNLI: Fine-Grained Natural Language Inference through Atomic Fact Decomposition

Generating 3D People in Scenes without People

Data-driven Methods Applied to Soft Robot Modeling and Control: A Review

Decoupling Exploration from Optimization in RLVR

A Context-Aware User-Item Representation Learning for Item Recommendation

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

RocketEval: Efficient Automated LLM Evaluation via Grading Checklist

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

CONTRA: Conformal Prediction Region via Normalizing Flow Transformation

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Nonlinear filtering stabilizations for the quasi-geostrophic equations

The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models

Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach

Faceting for direction-dependent spectral deconvolution

A Distributional Framework for Data Valuation

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective

Sliced Wasserstein Kernel for Persistence Diagrams

Phoneme-Guided Initialization for LLM-based Speech Recognition

Retrieval-augmented generation vs. deterministic tax computation in multi-agent financial advisory: A 2x2 factorial experiment