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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34,741 to 34,800 of 119,971

ReCalMatch:Reliability-Calibrated Semantic Guidance for Semi-Supervised Fine-Grained Recognition
Yundi Hong, Hongyang He, Zheng Fang +2
cs.CVcs.AIarXiv:2609.29678v12026
GitHub Copilot AI pair programmer: Asset or Liability?
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam +4
cs.SEcs.LGarXiv:2206.15331v22022
NormKD: Normalized Logits for Knowledge Distillation
Zhihao Chi, Tu Zheng, Hengjia Li +4
cs.CVarXiv:2308.00520v12023
WM-Craftnet: World Synesthesia Model for Generalizable and Robust Dexterous In-Hand Manipulation
Jie Yin, Zeyuan Zhao, Xiaojing Tan +3
cs.ROarXiv:2609.07002v12026
Prior-Free Competitive Ratios for Improving Bandits: Scale, Curvature and Horizon Are Free, but Not Jointly Under Noise
Xuan Li
cs.LGarXiv:2609.17595v12026
WideSWE: Can Coding Agents Coordinate Changes Across Repositories?
Baoyi Wang, Xingliang Wang, Jinyang Wu +3
cs.SEarXiv:2609.33382v12026
Learning Rate Transfer for Hybrid Transformer-SSM Architectures
Jimin Seo, Gyubok Lee, Yeonsik Jo +11
cs.LGarXiv:2610.01172v12026
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Wenhao Yu, Dan Iter, Shuohang Wang +6
cs.CLcs.AIarXiv:2209.10063v32022
From Regulation to Implementation: A Critical Evaluation of LLM-Assisted Regulatory Compliance in Industry
Adriana Watson, Marco Bücheler, Grant Richards
cs.AIarXiv:2608.21317v12026
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Ulysse Côté-Allard, Cheikh Latyr Fall, Alexandre Drouin +5
cs.LGstat.MLarXiv:1801.07756v52018
Boundary-aware Reinforcement Learning for Hypercube State Spaces via Deterministic Policy Gradient
Lijun Bo, Yijie Huang, Chenhao Lu
math.OCcs.LGarXiv:2610.09712v12026
Detokenization Leaks: Reconstructing Local LLM Outputs From Cache Traces
Roy Weiss, Benyamin Konstantinov, Eitam Sheetrit +2
cs.CRcs.AIarXiv:2609.06674v12026
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
Brady Neal, Sarthak Mittal, Aristide Baratin +4
cs.LGstat.MLarXiv:1810.08591v42018
Chronos-2: From Univariate to Universal Forecasting
Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken +20
cs.LGcs.AIstat.MLarXiv:2510.15821v12025
Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints
Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui
cs.LGstat.MLarXiv:1601.02733v12016
On the Limits of Univariate Deep Learning for Significant Wave Height Forecasting
Yilin Zhai, Hongyuan Shi, Zaijin You
physics.ao-phcs.LGphysics.comp-pharXiv:2609.30688v12026
The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models
Sogol Sanjaripour, Michael J. Smith, Manuel Pérez-Carrasco +3
astro-ph.IMastro-ph.GAarXiv:2606.25610v12026
Learning Independent Causal Mechanisms
Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla +1
cs.LGstat.MLarXiv:1712.00961v52017
Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models
Xianfang Zeng, Xin Chen, Zhongqi Qi +6
cs.CVarXiv:2312.13913v22023
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
Anjie Liu, Jianhong Wang, Samuel Kaski +2
cs.AIcs.LGcs.MAarXiv:2510.17697v42025
Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
Zeyuan Liu, Jeonghye Kim, Xufang Luo +2
cs.LGcs.AIarXiv:2602.23008v22026
Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability
Roberto Stanzione, Jules Barbe, Magali Parrino +2
cs.LGcs.AIcs.DBarXiv:2610.01168v12026
EXPL-FR: Explaining Face Recognition Models via Vision-Language Alignment
Guray Ozgur, Mustafa Efe Tamyapar, Naser Damer +1
cs.CVarXiv:2608.21486v12026
Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously
Yiran Guan, Liang Yin, Dingkang Liang +5
cs.CVarXiv:2603.12262v22026
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
Chuhang Zou, Ersin Yumer, Jimei Yang +2
cs.CVcs.AIcs.LGarXiv:1708.01648v12017
FactorSplat: Appearance-Controllable Gaussian Proxies for Medical Volume Rendering
Zhongpai Gao, Benjamin Planche, Meng Zheng +3
cs.CVarXiv:2610.02382v12026
Test-Time Strategies for More Efficient and Accurate Agentic RAG
Brian Zhang, Deepti Guntur, Zhiyang Zuo +7
cs.IRcs.AIarXiv:2603.12396v12026
SMTB: Fast Structure-Mapping with Tight Bounds
Daniel Weitekamp, Christopher MacLellan
cs.AIarXiv:2609.25508v12026
Unified Constrained Geometric Configuration Optimization for Source Localization Systems: A Riemannian Manifold-Based Approach
Xin Cheng, Feng Shu, Gangle Sun +3
eess.SParXiv:2609.12670v12026
PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models
Gianluca Barmina, Federico Torrielli, Sven Harms +7
cs.CLarXiv:2606.09697v12026
ANTMAN: Adaptive Need Tracking for Multi-Agent Navigation in Large Information Spaces
Jerry Wang, Haibo Jin, Xiaopeng Yuan +2
cs.AIarXiv:2609.33326v12026
On the Cyclic Assumption of the Cow-Path Search Algorithm
Yuan Ma, Yiqun Lisa Yin
cs.DScs.LGarXiv:2610.10253v12026
Pathology Transport: Optimal-Transport Explanations for Clinical Data, and When Their Heatmaps (Fail to) Localize Disease
Lalit Kumar
cs.LGarXiv:2608.17370v12026
Learning without Concentration
Shahar Mendelson
cs.LGstat.MLarXiv:1401.0304v22014
Friends and Grandmothers in Silico: Localizing Entity Cells in Language Models
Itay Yona, Dan Barzilay, Michael Karasik +1
cs.CLcs.AIarXiv:2604.01404v22026
Online Coded Caching
Ramtin Pedarsani, Mohammad Ali Maddah-Ali, Urs Niesen
cs.ITcs.NIarXiv:1311.3646v12013
Seeing as Humans Do: Learning from Motion to Segment Anything Without Supervision
Weijian Jian, Xiaoyue Zhang, Bin Xiao +5
cs.CVarXiv:2609.39785v12026
Generalization or Memorization: Dynamic Decoding for Mode Steering
Xuanming Zhang
cs.CLarXiv:2510.22099v12025
VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding
Yucheng Liu, Yufei Yin, Mingxiao Feng +3
cs.CVcs.AIarXiv:2610.06672v12026
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
Sangho Suh, Meng Chen, Bryan Min +2
cs.HCcs.AIarXiv:2310.12953v32023
A* Sampling
Chris J. Maddison, Daniel Tarlow, Tom Minka
stat.COstat.MLarXiv:1411.0030v22014
FearCaut-Qwen: Affective Steering in a Vision-Language Model Shifts the Decision Criterion for Hazard Assessment
Xiaoshan Zhou
cs.CVarXiv:2610.11986v12026
Biases in the Experimental Annotations of Protein Function and their Effect on Our Understanding of Protein Function Space
Alexandra M. Schnoes, David C. Ream, Alexander W. Thorman +2
q-bio.GNcs.DLcs.ITarXiv:1301.1740v42013
Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling
Long Peng, Anran Wu, Wenbo Li +9
cs.CVarXiv:2503.06617v12025
CompliantWBC: Whole-Body Compliance for Heavy Humanoids via Force Latent Estimation and Residual Impedance Targets
Tan-Dzung Do, Cuc T. Trinh, Tuan Dat Phuong +4
cs.ROarXiv:2609.33310v12026
What Do Rationales Communicate? A Message-Intervention Study in Role-Specialized QA
Jiameng Zhang, Hongqiu Wu
cs.AIcs.CLarXiv:2610.00018v12026
Semi-discrete quadratic Wasserstein energy and state-dependent Langevin exploration
Ran Gu, Gaoyue Guo, Kelvin Shuangjian Zhang
math.NAmath.OCmath.PRarXiv:2609.03405v12026
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
Wooseok Seo, Seungju Han, Jaehun Jung +6
cs.AIcs.CLcs.LGarXiv:2506.13342v22025
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
Mengmeng Liu, Hao Cheng, Lin Chen +5
cs.CVarXiv:2302.13933v12023
TailSFT: Filtered Fine-Tuning Improves Post-Training Performance
Sadhika Malladi, Samy Jelassi, Dylan Foster +2
cs.LGcs.AIarXiv:2608.25756v12026
LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting
Qinyao Luo, Silu He, Xing Han +2
cs.LGcs.AIcs.SIarXiv:2403.16495v12024
One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents
Jie Zhao, Ziyu Jiang, Suhang Zheng +3
cs.SEcs.CLcs.LGarXiv:2609.23377v12026
Creativity: Generating Diverse Questions using Variational Autoencoders
Unnat Jain, Ziyu Zhang, Alexander Schwing
cs.CVarXiv:1704.03493v12017
Olmo Hybrid: From Theory to Practice and Back
William Merrill, Yanhong Li, Tyler Romero +19
cs.LGcs.CLarXiv:2604.03444v42026
The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review
Dmitry Scherbakov, Nina Hubig, Vinita Jansari +2
cs.DLcs.AIarXiv:2409.04600v12024
MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model
Hsiao-Ying Huang, Yi-Cheng Lin, Hung-yi Lee
cs.CLcs.SDeess.ASarXiv:2509.20706v12025
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Yang Sui, Yu-Neng Chuang, Guanchu Wang +9
cs.CLarXiv:2503.16419v42025
Self-Supervised Scaling of Terminal Environments for Scientific Domains
Zhongzhi Li, Yucheng Shi, Zongxia Li +8
cs.SEcs.AIarXiv:2610.02710v12026
Learning a Ranking from Human Feedback in Log-Concave Random Utility Models
Diego Alovisetti, Marco Mussi, Alberto Maria Metelli
cs.LGarXiv:2610.07973v12026
A physics-enhanced bidirectional multi-order graph fusion network for interpretable bearing remaining useful life prediction
Haoxuan Zhang, Dinghao Yang, Kangning Zhang +4
cs.CEarXiv:2609.02190v12026

Every paper with a summary

ReCalMatch:Reliability-Calibrated Semantic Guidance for Semi-Supervised Fine-Grained Recognition

GitHub Copilot AI pair programmer: Asset or Liability?

NormKD: Normalized Logits for Knowledge Distillation

WM-Craftnet: World Synesthesia Model for Generalizable and Robust Dexterous In-Hand Manipulation

Prior-Free Competitive Ratios for Improving Bandits: Scale, Curvature and Horizon Are Free, but Not Jointly Under Noise

WideSWE: Can Coding Agents Coordinate Changes Across Repositories?

Learning Rate Transfer for Hybrid Transformer-SSM Architectures

Generate rather than Retrieve: Large Language Models are Strong Context Generators

From Regulation to Implementation: A Critical Evaluation of LLM-Assisted Regulatory Compliance in Industry

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Boundary-aware Reinforcement Learning for Hypercube State Spaces via Deterministic Policy Gradient

Detokenization Leaks: Reconstructing Local LLM Outputs From Cache Traces

A Modern Take on the Bias-Variance Tradeoff in Neural Networks

Chronos-2: From Univariate to Universal Forecasting

Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints

On the Limits of Univariate Deep Learning for Significant Wave Height Forecasting

The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models

Learning Independent Causal Mechanisms

Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability

EXPL-FR: Explaining Face Recognition Models via Vision-Language Alignment

Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously

3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

FactorSplat: Appearance-Controllable Gaussian Proxies for Medical Volume Rendering

Test-Time Strategies for More Efficient and Accurate Agentic RAG

SMTB: Fast Structure-Mapping with Tight Bounds

Unified Constrained Geometric Configuration Optimization for Source Localization Systems: A Riemannian Manifold-Based Approach

PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models

ANTMAN: Adaptive Need Tracking for Multi-Agent Navigation in Large Information Spaces

On the Cyclic Assumption of the Cow-Path Search Algorithm

Pathology Transport: Optimal-Transport Explanations for Clinical Data, and When Their Heatmaps (Fail to) Localize Disease

Learning without Concentration

Friends and Grandmothers in Silico: Localizing Entity Cells in Language Models

Online Coded Caching

Seeing as Humans Do: Learning from Motion to Segment Anything Without Supervision

Generalization or Memorization: Dynamic Decoding for Mode Steering

VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding

Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

A* Sampling

FearCaut-Qwen: Affective Steering in a Vision-Language Model Shifts the Decision Criterion for Hazard Assessment

Biases in the Experimental Annotations of Protein Function and their Effect on Our Understanding of Protein Function Space

Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling

CompliantWBC: Whole-Body Compliance for Heavy Humanoids via Force Latent Estimation and Residual Impedance Targets

What Do Rationales Communicate? A Message-Intervention Study in Role-Specialized QA

Semi-discrete quadratic Wasserstein energy and state-dependent Langevin exploration

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers

LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints

TailSFT: Filtered Fine-Tuning Improves Post-Training Performance

LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting

One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents

Creativity: Generating Diverse Questions using Variational Autoencoders

Olmo Hybrid: From Theory to Practice and Back

The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review

MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Self-Supervised Scaling of Terminal Environments for Scientific Domains

Learning a Ranking from Human Feedback in Log-Concave Random Utility Models

A physics-enhanced bidirectional multi-order graph fusion network for interpretable bearing remaining useful life prediction