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.

Search paper metadata (including unsummarized papers)

6,061 to 6,120 of 118,677

Capability Scaling-Down Laws for LLM Compression
Xueqi Cheng, Liang Wu, Kelly Wan +2
cs.LGcs.CLarXiv:2610.02462v12026
Visual descriptors for content-based retrieval of remote sensing images
Paolo Napoletano
cs.CVarXiv:1602.00970v52016
Learning Crosslingual Word Embeddings without Bilingual Corpora
Long Duong, Hiroshi Kanayama, Tengfei Ma +2
cs.CLcs.AIarXiv:1606.09403v12016
Evaluating and Improving the Robustness of Large Language Models to Input Sequence Variations
Narek Maloyan
cs.CRcs.CLcs.LGarXiv:2610.02432v22026
HMM-based Indic Handwritten Word Recognition using Zone Segmentation
Partha Pratim Roy, Ayan Kumar Bhunia, Ayan Das +2
cs.CVarXiv:1708.00227v12017
Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting Hemodynamics
Mahmoud Elhadidy, Roshan M. D'Souza, Amirhossein Arzani
cs.AIphysics.flu-dynarXiv:2610.39003v12026
TableTune: Measured, Self-Correcting Draft-Length Tables for Dynamic Speculative Decoding
Abhishek Malvankar, Paul Castro, Nick Mitchell +1
cs.ETcs.AIarXiv:2610.38968v12026
From Mathematical to Executable Certificates for Machine Unlearning
Ziyu Zhao, Xinyu Wang, Xiaowen Chang +1
cs.LGcs.CRarXiv:2610.02268v12026
A General Framework for Edited Video and Raw Video Summarization
Xuelong Li, Bin Zhao, Xiaoqiang Lu
cs.CVarXiv:1904.10669v12019
Early Stopping without a Validation Set
Maren Mahsereci, Lukas Balles, Christoph Lassner +1
cs.LGstat.MLarXiv:1703.09580v32017
Hesitation Has a Geometry: Entropy-Trained Hyperbolic Probes for Sparse Activation Steering
Zeyong Zhang, Tung Sum Thomas Kwok, Tengfei Ma +1
cs.LGcs.CLarXiv:2610.02391v12026
Lev-3B: A Data Recipe for Compact Probabilistic Log Decision Models
Leo Betthauser, Yingqi Liu, Uday Shah +5
cs.LGcs.AIarXiv:2610.38915v12026
Benchmarking Graph Neural Networks for AC Power Flow: The Role of Inductive Biases and Physical Constraints
Federico Clerici, Ferran Bohigas-Daranas, Hamid Latif-Martínez +3
cs.LGcs.AIarXiv:2610.38985v12026
Summaries:한국어
Does Every User Need a Private LoRA? Decoupling Personalization from Per-User Adaptation
Songyuan Sui, Srikanth Malla, Chiho Choi +1
cs.LGcs.CLarXiv:2610.02353v12026
Formal Specifications with Data-Driven Signal Analysis
Roderick Bloem, Benedikt Maderbacher, Cristinel Mateis +3
cs.AIcs.LGarXiv:2610.39007v12026
BioPhysical Modeling, Characterization and Optimization of Electro-Quasistatic Human Body Communication
Shovan Maity, Mingxuan He, Mayukh Nath +3
cs.ETcs.HCarXiv:1805.05200v12018
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes
Pat Marion, Peter R. Florence, Lucas Manuelli +1
cs.CVcs.ROarXiv:1707.04796v32017
WorldFlow: Joint Video and 3D Motion Prediction via Large-Scale Pretraining
Yuhao Lu, Jiongxu Chen, Hexiang Wei +9
cs.CVcs.AIcs.ROarXiv:2610.39278v12026
SEDIMA: Cross-Run Hierarchical Insight Memory for Evolutionary Search Agents
Amirhossein Abaskohi, Mahdi Mostajabdaveh, Zirui Zhou
cs.NEcs.CLarXiv:2610.02361v12026
Evaluating Multi-Dimensional Generalization of Large Language Models in Temporal Extraction Tasks
Fahmid Shahriar Iqbal, Ritam Dutt, Soumitra Das +2
cs.CLarXiv:2610.02549v12026
Design and Analysis of the NIPS 2016 Review Process
Nihar B. Shah, Behzad Tabibian, Krikamol Muandet +2
cs.DLcs.LGcs.SIarXiv:1708.09794v22017
Where Position Matters: Profiling-Guided Layer-Wise RoPE Allocation in Transformers
Zhiwei Liu, Boao Kong, Bing Liu
cs.LGcs.AIstat.MLarXiv:2610.39223v12026
Stochastic Quasi-Gradient Methods: Variance Reduction via Jacobian Sketching
Robert M. Gower, Peter Richtárik, Francis Bach
math.OCarXiv:1805.02632v12018
TensorLayer: A Versatile Library for Efficient Deep Learning Development
Hao Dong, Akara Supratak, Luo Mai +4
cs.LGcs.DCstat.MLarXiv:1707.08551v32017
A generative-informed neuro-symbolic framework for syntactic ambiguity resolution: Evidence from Arabic DPs
Mohammed Damom, Mohammed Q. Shormani, Muneef Y. Alshawsh +5
cs.CLarXiv:2610.02529v32026
CUEing User Simulators: Calibrated User Embeddings for Multi-Turn Benchmarking
Anjali Kantharuban, Jonas Mueller
cs.CLarXiv:2610.02460v12026
When Should AI Decide, Defer, and Deviate? Responsible Automation for Deceased Donor Kidney Allocation
Madeleine Pollack, Thomas Daillak, Mehmet Toner +3
cs.AIarXiv:2610.39045v12026
How Causality Bridges the Semantic Gap
Shuhao Zhang, Xuran Zhou, Han Guo +2
cs.LGcs.AIcs.CLarXiv:2610.02594v12026
The Barron Space and the Flow-induced Function Spaces for Neural Network Models
Weinan E, Chao Ma, Lei Wu
cs.LGmath.PRstat.MLarXiv:1906.08039v22019
OpenGameEval: Benchmarking Agentic Programming and Exploration in a Stateful Game Engine
Eray Turkel, Mengsha Sun, Kartik Ayyar +6
cs.LGcs.AIarXiv:2610.02563v12026
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning
Qianwen Wang, Yao Ming, Zhihua Jin +5
cs.LGcs.HCstat.MLarXiv:1902.05009v12019
There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
Yinuo Liu
cs.LGcs.AImath.OCarXiv:2610.39295v12026
Improving the Energy-Efficiency of the Code Generated by LLMs through Effective Prompting
Ritika Rekhi, Bing Zhang, Md Arman Islam +7
cs.SEcs.AIarXiv:2610.02571v22026
Eliminating Timing Side-Channel Leaks using Program Repair
Meng Wu, Shengjian Guo, Patrick Schaumont +1
cs.CRcs.PLcs.SEarXiv:1806.02444v22018
Pincer: Resource Authorization for Agents using a Digital Twin
Mayank Rathee, Alexander Stepanov, Shalin Madabhavi +3
cs.CRcs.AIarXiv:2610.02569v12026
TreasuryQA Bench: Can AI Agents Work an Archive of Scanned Financial Records?
Ritiz Tambi, Sahar Shayegan, Joshua Meyer +5
cs.AIarXiv:2610.38924v12026
DeCoRL: Decomposed Consistency Reinforcement Learning for Multi-Image Composition
Zhiqiang Wu, Shuang Sun, Jiale Zhang +4
cs.CVcs.AIarXiv:2610.39265v12026
CoToan: Executable Rules and a Representation Contract for Reproducible Game AI Evaluation
Ha-Thanh Nguyen
cs.AIarXiv:2610.39353v12026
DAGS: Disentangled Appearance-and-Geometry Steering of a Frozen Image DiT for Temporally Stabilized Generative Rendering
Karthik Mohan Kumar, Damian Andrysiak, Pedro Antonio Pena +2
cs.CVcs.AIcs.GRarXiv:2610.02567v12026
FREE -- Fine-grained Scheduling for Reliable and Energy Efficient Data Collection in LoRaWAN
Khaled Q. Abdelfadeel, Dimitrios Zorbas, Victor Cionca +1
cs.NIarXiv:1812.05744v22018
PRISM: Personalized Item Representations in User History
Renzhi Wu, Zikun Cui, Junjie Yang +6
cs.IRcs.AIarXiv:2610.39175v12026
Baby steps towards few-shot learning with multiple semantics
Eli Schwartz, Leonid Karlinsky, Rogerio Feris +2
cs.CVarXiv:1906.01905v22019
Compound AI System Reliability: A Failure Taxonomy and Resilience Pattern Catalog from 150 Production Incidents
Rudrendu Kumar Paul, Sourav Nandy
cs.SEcs.AIcs.DCarXiv:2610.02503v12026
Where to Learn and How Far to Roll Out: Efficient Adaptive Training for GUI Agents
Yuxiang Chai, Quyu Kong, Panrong Tong +2
cs.AIarXiv:2610.39251v12026
A Debiased MDI Feature Importance Measure for Random Forests
Xiao Li, Yu Wang, Sumanta Basu +2
stat.MLcs.LGarXiv:1906.10845v22019
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement
Jian Wang, Xiang Long, Yuan Gao +2
cs.CVarXiv:2007.10599v12020
Certified Access: Test-Time Compute on Conservative Physics-Structured AI Memory
Pratik Jawahar, Riccardo Maggioni, Jonas Petersen +5
cs.AIhep-pharXiv:2610.39073v12026
Instance-Dependent Regret for CMDPs with Step-Wise Constraints
Qian Zuo, Francesco Emanuele Stradi, Leyang Xue +1
cs.LGcs.AIarXiv:2610.02520v12026
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy
Boyi Liu, Qi Cai, Zhuoran Yang +1
cs.LGmath.OCstat.MLarXiv:1906.10306v32019
Student-Guided Teacher Distillation for Efficient LLM Task Routing: Positioning Against Jev-Style System-1 Classifiers
Haifeng Wu, Srinivasan Manoharan, Jian Wan +3
cs.LGcs.AIarXiv:2610.02516v12026
Marginal likelihood computation for model selection and hypothesis testing: an extensive review
Fernando Llorente, Luca Martino, David Delgado +1
stat.COcs.LGarXiv:2005.08334v42020
From Fragments to Global Maps: Learning Vectorized Map Aggregation with Large Language Models
Ziwei Li, Yi-Tang Chen, Xiaoqi Wang +3
cs.CVcs.AIarXiv:2610.02513v12026
Clean Sheets and Checkpoints: Evidence Complexity for Certifying Sequential Agent Risk
Rohith Yanambaka Venkata, Don McBride, Tiago Sequeira +1
cs.LGcs.AIarXiv:2610.39124v12026
Out of Sync, Out of Sight: Phantom State Attacks against IIoT Intrusion Detection
Sabrine Ennaji, Elhadj Benkhelifa, Nadia Kabachi
cs.CRcs.AIarXiv:2610.02552v12026
MemSteer: Turning User Histories into Supervision for Agent Memory Optimization
Jie Huang, Cuiling Lan, Qize Yu +2
cs.AIarXiv:2610.39276v12026
REALM: Identifying Minimal Task Assets for LLM Agents
Zihou Ren, Byungchul Tak, Long Wang
cs.CRcs.AIcs.SYarXiv:2610.39155v12026
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
Lichao Sun, Kazuma Hashimoto, Wenpeng Yin +4
cs.CLarXiv:2003.04985v12020
LLM-Assisted Optimization for Simulation-Based Redesign
Chan-Eui Song, Jeremy J. Michalek, Christopher McComb
cs.AIcs.CEmath.OCarXiv:2610.39275v12026
Yield forecasting with machine learning and small data: what gains for grains?
Michele Meroni, François Waldner, Lorenzo Seguini +2
stat.AParXiv:2104.13246v22021
Recommenders with a mission: assessing diversity in newsrecommendations
Sanne Vrijenhoek, Mesut Kaya, Nadia Metoui +3
cs.IRarXiv:2012.10185v12020

Every paper with a summary

Capability Scaling-Down Laws for LLM Compression

Visual descriptors for content-based retrieval of remote sensing images

Learning Crosslingual Word Embeddings without Bilingual Corpora

Evaluating and Improving the Robustness of Large Language Models to Input Sequence Variations

HMM-based Indic Handwritten Word Recognition using Zone Segmentation

Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting Hemodynamics

TableTune: Measured, Self-Correcting Draft-Length Tables for Dynamic Speculative Decoding

From Mathematical to Executable Certificates for Machine Unlearning

A General Framework for Edited Video and Raw Video Summarization

Early Stopping without a Validation Set

Hesitation Has a Geometry: Entropy-Trained Hyperbolic Probes for Sparse Activation Steering

Lev-3B: A Data Recipe for Compact Probabilistic Log Decision Models

Benchmarking Graph Neural Networks for AC Power Flow: The Role of Inductive Biases and Physical Constraints

Does Every User Need a Private LoRA? Decoupling Personalization from Per-User Adaptation

Formal Specifications with Data-Driven Signal Analysis

BioPhysical Modeling, Characterization and Optimization of Electro-Quasistatic Human Body Communication

LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes

WorldFlow: Joint Video and 3D Motion Prediction via Large-Scale Pretraining

SEDIMA: Cross-Run Hierarchical Insight Memory for Evolutionary Search Agents

Evaluating Multi-Dimensional Generalization of Large Language Models in Temporal Extraction Tasks

Design and Analysis of the NIPS 2016 Review Process

Where Position Matters: Profiling-Guided Layer-Wise RoPE Allocation in Transformers

Stochastic Quasi-Gradient Methods: Variance Reduction via Jacobian Sketching

TensorLayer: A Versatile Library for Efficient Deep Learning Development

A generative-informed neuro-symbolic framework for syntactic ambiguity resolution: Evidence from Arabic DPs

CUEing User Simulators: Calibrated User Embeddings for Multi-Turn Benchmarking

When Should AI Decide, Defer, and Deviate? Responsible Automation for Deceased Donor Kidney Allocation

How Causality Bridges the Semantic Gap

The Barron Space and the Flow-induced Function Spaces for Neural Network Models

OpenGameEval: Benchmarking Agentic Programming and Exploration in a Stateful Game Engine

ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning

There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price

Improving the Energy-Efficiency of the Code Generated by LLMs through Effective Prompting

Eliminating Timing Side-Channel Leaks using Program Repair

Pincer: Resource Authorization for Agents using a Digital Twin

TreasuryQA Bench: Can AI Agents Work an Archive of Scanned Financial Records?

DeCoRL: Decomposed Consistency Reinforcement Learning for Multi-Image Composition

CoToan: Executable Rules and a Representation Contract for Reproducible Game AI Evaluation

DAGS: Disentangled Appearance-and-Geometry Steering of a Frozen Image DiT for Temporally Stabilized Generative Rendering

FREE -- Fine-grained Scheduling for Reliable and Energy Efficient Data Collection in LoRaWAN

PRISM: Personalized Item Representations in User History

Baby steps towards few-shot learning with multiple semantics

Compound AI System Reliability: A Failure Taxonomy and Resilience Pattern Catalog from 150 Production Incidents

Where to Learn and How Far to Roll Out: Efficient Adaptive Training for GUI Agents

A Debiased MDI Feature Importance Measure for Random Forests

Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement

Certified Access: Test-Time Compute on Conservative Physics-Structured AI Memory

Instance-Dependent Regret for CMDPs with Step-Wise Constraints

Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy

Student-Guided Teacher Distillation for Efficient LLM Task Routing: Positioning Against Jev-Style System-1 Classifiers

Marginal likelihood computation for model selection and hypothesis testing: an extensive review

From Fragments to Global Maps: Learning Vectorized Map Aggregation with Large Language Models

Clean Sheets and Checkpoints: Evidence Complexity for Certifying Sequential Agent Risk

Out of Sync, Out of Sight: Phantom State Attacks against IIoT Intrusion Detection

MemSteer: Turning User Histories into Supervision for Agent Memory Optimization

REALM: Identifying Minimal Task Assets for LLM Agents

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT

LLM-Assisted Optimization for Simulation-Based Redesign

Yield forecasting with machine learning and small data: what gains for grains?

Recommenders with a mission: assessing diversity in newsrecommendations