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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11,941 to 12,000 of 61,352

Budgeting Bytes: A Windowed Storage Roofline and Dual-Budget Architecture Ablations for Storage-Bound LLM Decoding
Hanhaodi Zhang
cs.ARarXiv:2609.04238v12026
LLMs Will Always Hallucinate, and We Need to Live With This
Sourav Banerjee, Ayushi Agarwal, Saloni Singla
stat.MLcs.LGarXiv:2409.05746v12024
Inferring Affective Consciousness in an Artificial Agent: A Case Study
Mark Solms, St John Grimbly, Bruce Bassett +7
cs.AIq-bio.NCarXiv:2609.03883v12026
Loss-tolerant quantum cryptography with imperfect sources
Kiyoshi Tamaki, Marcos Curty, Go Kato +2
quant-pharXiv:1312.3514v22013
APEX-RBD: Mixed-Precision Exploration Framework for Hardware-Efficient Robot Dynamics Accelerator Design
Xingyu Liu, Hanwei Fan, Chaofang Ma +4
cs.ARcs.ROarXiv:2609.05161v12026
Robust and optimal predictive control of the COVID-19 outbreak
Johannes Köhler, Lukas Schwenkel, Anne Koch +3
q-bio.PEeess.SYmath.OCarXiv:2005.03580v22020
Software-Defined Networking-based Crypto Ransomware Detection Using HTTP Traffic Characteristics
Krzysztof Cabaj, Marcin Gregorczyk, Wojciech Mazurczyk
cs.CRarXiv:1611.08294v12016
Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning
Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee +3
cs.ITcs.LGarXiv:2009.09967v12020
Adaptation Needs in Robotic Systems: Assessing Behavior Trees and Their Enhancement
Mehran Rostamnia, Gianluca Filippone, Ricardo Caldas +1
cs.ROcs.SEarXiv:2609.05331v12026
A Tutorial on Meta-Reinforcement Learning
Jacob Beck, Risto Vuorio, Evan Zheran Liu +4
cs.LGarXiv:2301.08028v42023
VocalCoachBench: Benchmarking Audio-Language Models on Expert Feedback for Singing
Hayeon Bang, Hounsu Kim, Wonil Kim +1
cs.SDeess.ASarXiv:2609.04241v12026
Deep Learning-Assisted UAV Localization Framework for Post-Disaster Search and Rescue Missions
Xiangjian Gao, Hamid R. Sadjadpour
eess.SPcs.NIarXiv:2609.02916v12026
FIRE-LIVWO: Robust LiDAR-Inertial-Visual-Wheel Odometry via Failure-Immune mmWave Radar Enhancement
Kun Hu, Menggang Li, Kaidi Wu +5
cs.ROarXiv:2609.05325v12026
How well do Large Language Models perform in Arithmetic tasks?
Zheng Yuan, Hongyi Yuan, Chuanqi Tan +2
cs.CLcs.AIarXiv:2304.02015v12023
CC-4DGS: Computational Deformation and Point-Cloud Compression for Storage-Efficient Dynamic Gaussian Splatting
Kyungdae Park, Chae Eun Rhee
cs.CVarXiv:2609.02184v12026
The Throughput-Outage Tradeoff of Wireless One-Hop Caching Networks
Mingyue Ji, Giuseppe Caire, Andreas F. Molisch
cs.ITarXiv:1312.2637v22013
Quantum computation with realistic magic state factories
Joe O'Gorman, Earl T. Campbell
quant-pharXiv:1605.07197v22016
Training-Free Speech-Centric Omni Understanding with Frozen VLMs
Ankan Deria, Hanoona Rasheed, Xilin He +2
eess.AScs.CVcs.SDarXiv:2609.04242v12026
Human-Human & Human-Robot Interaction Transformer (H2INT) for Robot Navigation in Dense and Uncertain Crowds
Ao Shen, Kaixi Chen, Shiwei Liu +2
cs.ROarXiv:2609.05300v12026
Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls
Savvas Zannettou, Tristan Caulfield, William Setzer +3
cs.SIcs.CYarXiv:1811.03130v22018
The Utility of LLMs in Recommender Systems Explanation Evaluation
Kathrin Wardatzky, Oana Inel, Luca Rossetto +1
cs.IRcs.AIarXiv:2609.01627v12026
Audio Spectrogram Representations for Processing with Convolutional Neural Networks
L. Wyse
cs.SDcs.LGcs.MMarXiv:1706.09559v12017
Temporal Tactile Encoding and Compliance for Intent-Aware Robot-to-Human Bimanual Handover
Pasquale Marra, Stefano Berti, Gabriele Mario Caddeo +1
cs.ROarXiv:2609.05282v12026
Training and Feedback Optimization for Multiuser MIMO Downlink
Mari Kobayashi, Nihar Jindal, Giuseppe Caire
cs.ITarXiv:0912.1987v12009
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan +5
cs.LGcs.AIstat.MLarXiv:1803.07246v12018
Modular Deep Recurrent Neural Network: Application to Quadrotors
Nima Mohajerin, Steven L. Waslander
cs.LGarXiv:2609.04339v12026
The Prompt Triangle: A Registered Report on Prompts as Hybrid Artifacts
Shalini Chakraborty, Jan-Philipp Steghöfer
cs.SEarXiv:2609.04209v12026
Attention Models in Graphs: A Survey
John Boaz Lee, Ryan A. Rossi, Sungchul Kim +2
cs.AIcs.SIarXiv:1807.07984v12018
Collaborative On-Sensor Array Cameras
Jipeng Sun, Kaixuan Wei, Thomas Eboli +6
physics.opticscs.CVcs.DCarXiv:2506.04061v12025
Morphology and actuation as inductive biases in robotic hand manipulation
Zalán Tari, Eszter Birtalan, Péter Polcz +1
cs.ROeess.SYarXiv:2609.05206v12026
Heterogeneous Knowledge Distillation using Information Flow Modeling
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
cs.CVarXiv:2005.00727v12020
Energy Efficient Resource Allocation in Machine-to-Machine Communications with Multiple Access and Energy Harvesting for IoT
Zhaohui Yang, Wei Xu, Yijin Pan +2
cs.ITarXiv:1711.10776v12017
Belief propagation, robust reconstruction and optimal recovery of block models
Elchanan Mossel, Joe Neeman, Allan Sly
math.PRcs.SIarXiv:1309.1380v42013
Coupling-Aware Aggregation of Multi-Zone HVAC Loads under Uncertainty: A Two-level Framework
Jingguan Liu, Han Jiang, Xiaomeng Ai +6
eess.SYarXiv:2609.03253v12026
Preference-Oriented Aggregation of Heterogeneous Distributed Energy Resources for Reserve Dispatch
Jingguan Liu, Xiaomeng Ai, Shichang Cui +5
eess.SYarXiv:2609.03252v12026
Trademark Search, Artificial Intelligence and the Role of the Private Sector
Sonia Katyal, Aniket Kesari
cs.CYcs.AIarXiv:2601.17072v12026
Full Stack Optimization of Transformer Inference: a Survey
Sehoon Kim, Coleman Hooper, Thanakul Wattanawong +9
cs.CLcs.LGarXiv:2302.14017v12023
GridMM: Grid Memory Map for Vision-and-Language Navigation
Zihan Wang, Xiangyang Li, Jiahao Yang +2
cs.CVcs.AIarXiv:2307.12907v42023
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
Zheng Luo, T Pranav Kutralingam, Ogochukwu N Okoani +3
cs.CLcs.AIcs.LGarXiv:2601.05366v22026
PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations
Chengcheng Guo, Kuo Cai, Yu Zhou +5
cs.IRarXiv:2601.04674v12026
CloudGenius: Decision Support for Web Server Cloud Migration
Michael Menzel, Rajiv Ranjan
cs.DCcs.SEarXiv:1203.3997v12012
When Should We Introduce Safety Interventions During Pretraining?
Dylan Sam, Sachin Goyal, Pratyush Maini +2
cs.LGarXiv:2601.07087v22026
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction
Abdelhadi Azzouni, Guy Pujolle
cs.NIcs.LGarXiv:1705.05690v32017
Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen, Jiachen Hu, Chi Jin +2
cs.LGarXiv:2110.03239v22021
STELLAR: A Search-Based Testing Framework for Large Language Model Applications
Lev Sorokin, Ivan Vasilev, Ken E. Friedl +1
cs.SEarXiv:2601.00497v22026
Dressing in Motion: A Human Motion-Aware Diffusion Policy for Robot-Assisted Dressing
Haoxiang Sun, Fangyuan Wang, Songhao Huang +4
cs.ROarXiv:2609.04759v12026
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering
Mohamad Salim, Jasmine Latendresse, SayedHassan Khatoonabadi +1
cs.SEcs.AIcs.MAarXiv:2601.14470v12026
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning
Krzysztof Z. Gajos, Lena Mamykina
cs.HCcs.AIcs.LGarXiv:2202.05402v12022
Open-Set 3D Scene Graphs for Field Robotics: An Outdoor Case Study
Chad R. Samuelson, Gabriel R. Slade, Joshua G. Mangelson
cs.ROarXiv:2609.04607v12026
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers
Eunbyung Park, Alexander C. Berg
cs.CVcs.LGarXiv:1801.03049v22018
VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck
Feiran Zhang, Yixin Wu, Zhenghua Wang +4
cs.CVcs.AIarXiv:2601.05547v22026
Defense Against Indirect Prompt Injection via Tool Result Parsing
Qiang Yu, Xinran Cheng, Chuanyi Liu
cs.AIcs.CLcs.CRarXiv:2601.04795v12026
High Accuracy Android Malware Detection Using Ensemble Learning
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
cs.CRcs.LGarXiv:1608.00835v12016
VIGIL: Defending LLM Agents Against Tool Stream Injection via Verify-Before-Commit
Junda Lin, Zhaomeng Zhou, Zhi Zheng +4
cs.CRcs.AIarXiv:2601.05755v22026
Linear-Size Approximations to the Vietoris-Rips Filtration
Donald R. Sheehy
cs.CGcs.DSarXiv:1203.6786v22012
CloneMem: Benchmarking Long-Term Memory for AI Clones
Sen Hu, Zhiyu Zhang, Yuxiang Wei +4
cs.AIarXiv:2601.07023v12026
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models
Woojeong Jin, Yu Cheng, Yelong Shen +2
cs.CVcs.CLarXiv:2110.08484v22021
SmartSearch: Process Reward-Guided Query Refinement for Search Agents
Tongyu Wen, Guanting Dong, Zhicheng Dou
cs.AIarXiv:2601.04888v12026
LIBERO-RECOVER: Beyond Task Success Towards Failure Recovery in Robotic Manipulation Models
Lin Liu, Zhicheng Bao, Lu Zhang +5
cs.ROarXiv:2609.05178v12026
A Survey of Large Language Models in Finance (FinLLMs)
Jean Lee, Nicholas Stevens, Soyeon Caren Han +1
cs.CLq-fin.GNarXiv:2402.02315v12024

Every paper with a summary

Budgeting Bytes: A Windowed Storage Roofline and Dual-Budget Architecture Ablations for Storage-Bound LLM Decoding

LLMs Will Always Hallucinate, and We Need to Live With This

Inferring Affective Consciousness in an Artificial Agent: A Case Study

Loss-tolerant quantum cryptography with imperfect sources

APEX-RBD: Mixed-Precision Exploration Framework for Hardware-Efficient Robot Dynamics Accelerator Design

Robust and optimal predictive control of the COVID-19 outbreak

Software-Defined Networking-based Crypto Ransomware Detection Using HTTP Traffic Characteristics

Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning

Adaptation Needs in Robotic Systems: Assessing Behavior Trees and Their Enhancement

A Tutorial on Meta-Reinforcement Learning

VocalCoachBench: Benchmarking Audio-Language Models on Expert Feedback for Singing

Deep Learning-Assisted UAV Localization Framework for Post-Disaster Search and Rescue Missions

FIRE-LIVWO: Robust LiDAR-Inertial-Visual-Wheel Odometry via Failure-Immune mmWave Radar Enhancement

How well do Large Language Models perform in Arithmetic tasks?

CC-4DGS: Computational Deformation and Point-Cloud Compression for Storage-Efficient Dynamic Gaussian Splatting

The Throughput-Outage Tradeoff of Wireless One-Hop Caching Networks

Quantum computation with realistic magic state factories

Training-Free Speech-Centric Omni Understanding with Frozen VLMs

Human-Human & Human-Robot Interaction Transformer (H2INT) for Robot Navigation in Dense and Uncertain Crowds

Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls

The Utility of LLMs in Recommender Systems Explanation Evaluation

Audio Spectrogram Representations for Processing with Convolutional Neural Networks

Temporal Tactile Encoding and Compliance for Intent-Aware Robot-to-Human Bimanual Handover

Training and Feedback Optimization for Multiuser MIMO Downlink

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines

Modular Deep Recurrent Neural Network: Application to Quadrotors

The Prompt Triangle: A Registered Report on Prompts as Hybrid Artifacts

Attention Models in Graphs: A Survey

Collaborative On-Sensor Array Cameras

Morphology and actuation as inductive biases in robotic hand manipulation

Heterogeneous Knowledge Distillation using Information Flow Modeling

Energy Efficient Resource Allocation in Machine-to-Machine Communications with Multiple Access and Energy Harvesting for IoT

Belief propagation, robust reconstruction and optimal recovery of block models

Coupling-Aware Aggregation of Multi-Zone HVAC Loads under Uncertainty: A Two-level Framework

Preference-Oriented Aggregation of Heterogeneous Distributed Energy Resources for Reserve Dispatch

Trademark Search, Artificial Intelligence and the Role of the Private Sector

Full Stack Optimization of Transformer Inference: a Survey

GridMM: Grid Memory Map for Vision-and-Language Navigation

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models

PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations

CloudGenius: Decision Support for Web Server Cloud Migration

When Should We Introduce Safety Interventions During Pretraining?

A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction

Understanding Domain Randomization for Sim-to-real Transfer

STELLAR: A Search-Based Testing Framework for Large Language Model Applications

Dressing in Motion: A Human Motion-Aware Diffusion Policy for Robot-Assisted Dressing

Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering

Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning

Open-Set 3D Scene Graphs for Field Robotics: An Outdoor Case Study

Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers

VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck

Defense Against Indirect Prompt Injection via Tool Result Parsing

High Accuracy Android Malware Detection Using Ensemble Learning

VIGIL: Defending LLM Agents Against Tool Stream Injection via Verify-Before-Commit

Linear-Size Approximations to the Vietoris-Rips Filtration

CloneMem: Benchmarking Long-Term Memory for AI Clones

A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models

SmartSearch: Process Reward-Guided Query Refinement for Search Agents

LIBERO-RECOVER: Beyond Task Success Towards Failure Recovery in Robotic Manipulation Models

A Survey of Large Language Models in Finance (FinLLMs)