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)

72,121 to 72,180 of 105,784

TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance
Elena Bruches, Vadim Alperovich, Dari Baturova +8
cs.SEcs.AIarXiv:2601.18241v12026
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang, Danlu Chen, Tianhong Li +3
cs.LGarXiv:1703.09844v52017
Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations
Priyanka Mary Mammen, Emil Joswin, Srujananjali Medicherla
cs.AIarXiv:2609.09448v12026
Predicting Students' Performance Using ID3 And C4.5 Classification Algorithms
Kalpesh Adhatrao, Aditya Gaykar, Amiraj Dhawan +2
cs.CYcs.LGarXiv:1310.2071v12013
Context-Aware Proactive Content Caching with Service Differentiation in Wireless Networks
Sabrina Müller, Onur Atan, Mihaela van der Schaar +1
cs.NIcs.LGarXiv:1606.04236v22016
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach
Giorgio Roffo, Simone Melzi, Umberto Castellani +1
cs.CVarXiv:1707.07538v12017
Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
Jiayi Xu, Di He, Guolin Ke
cs.CVcs.AIarXiv:2606.27978v12026
Long-term Forecasting using Higher Order Tensor RNNs
Rose Yu, Stephan Zheng, Anima Anandkumar +1
cs.LGarXiv:1711.00073v32017
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl +5
eess.IVcs.CVcs.LGarXiv:1905.12806v12019
Exploring Length Generalization in Large Language Models
Cem Anil, Yuhuai Wu, Anders Andreassen +7
cs.CLcs.LGarXiv:2207.04901v22022
Efficient Dynamic Searchable Encryption with Forward Privacy
Mohammad Etemad, Alptekin Küpçü, Charalampos Papamanthou +1
cs.CRarXiv:1710.00208v12017
Distributed continuous-time convex optimization on weight-balanced digraphs
Bahman Gharesifard, Jorge Cortes
math.OCeess.SYarXiv:1204.0304v22012
Fast global convergence of gradient methods for high-dimensional statistical recovery
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
stat.MLcs.ITarXiv:1104.4824v32011
Safe Learning of Adaptive Control Policies for Remote Patient Monitoring
Ramanan Tamizholi, Siddharth Chandak, Isha Thapa +2
eess.SYcs.SYarXiv:2610.10720v12026
Medium Access Control Protocols for Wireless Sensor Networks with Energy Harvesting
Fabio Iannello, Osvaldo Simeone, Umberto Spagnolini
cs.ITcs.NIarXiv:1112.2409v12011
OTTER - Two Transistor - One RRAM Architecture for Reliable In-Memory-Computing in 28 nm CMOS Technology
Yang Chen, Daniele Storelli, Xinyi Zhao +20
cs.ETarXiv:2609.08898v12026
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
Guan'an Wang, Shuo Yang, Huanyu Liu +6
cs.CVarXiv:2003.08177v42020
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models
Xingyi He, Jiaming Sun, Yuang Wang +3
cs.CVarXiv:2301.07673v12023
CARE: Condition-Aware Representation Regularization for Diffusion Models
Fengjia Guo, Zhuoyi Yang, Jie Tang
cs.LGcs.CVarXiv:2609.28561v12026
Exploring the Design Space of Reward Backpropagation for Flow Matching
Ruoyu Wang, Boye Niu, Xiangxin Zhou +3
cs.LGarXiv:2606.11075v12026
SCNet: Learning Semantic Correspondence
Kai Han, Rafael S. Rezende, Bumsub Ham +4
cs.CVarXiv:1705.04043v32017
Discrete Diffusion Language Models for Interactive Radiology Report Drafting
Max Van Puyvelde, Halil Ibrahim Gulluk, Wim Van Criekinge +1
cs.AIcs.LGarXiv:2607.01436v12026
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws
Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis
astro-ph.IMcs.LGphysics.comp-pharXiv:2303.03192v22023
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara, Xuezhou Zhang, Wen Sun
cs.LGcs.AIstat.MLarXiv:2110.04652v32021
The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering
Adam Noonan
stat.MLcs.LGarXiv:2608.21262v12026
Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility
Honglin Lin, Chonghan Qin, Zheng Liu +7
cs.CVcs.AIarXiv:2601.17027v12026
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas, Pierre Fournier, Olivier Sigaud +2
cs.AIarXiv:1810.06284v52018
Supermartingale Certificates for Parametric MDPs
Kaushik Mallik, Ðorđe Žikelić
cs.LOcs.AIcs.SYarXiv:2609.12715v12026
BERTilda: Explainable Topic Lifecycle Tracking with Split/Merge Detection via Similarity-and-Flow Temporal Graphs
Cláudia Oliveira, Álvaro Figueira
cs.CLcs.LGarXiv:2608.18101v12026
Bayesian Learning for Neural Networks: an algorithmic survey
Martin Magris, Alexandros Iosifidis
stat.MLcs.LGarXiv:2211.11865v42022
How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method
Konstantin Grotov, Valentin Malykh
cs.LGarXiv:2609.05274v12026
Control-Ready Uncertainty for Trajectory Diffusion
Zhiwei Xue, Jia Yue Kam, Jinhang Qiu +5
cs.ROarXiv:2610.12431v12026
SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols
Jiahua Xu, Krzysztof Paruch, Simon Cousaert +1
q-fin.TRcs.GTarXiv:2103.12732v72021
Guided Self-Evolving LLMs with Minimal Human Supervision
Wenhao Yu, Zhenwen Liang, Chengsong Huang +4
cs.AIcs.CLcs.LGarXiv:2512.02472v12025
MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild
Peng Xia, Jianwen Chen, Xinyu Yang +10
cs.LGarXiv:2603.17187v12026
Failure-Resilient Multi-Robot Coordination with $k$-Connectivity Constrained Submodular Maximization
Yoonjae Hwang, Hojune Kim, Ellen Novoseller +2
cs.ROcs.MAarXiv:2610.13049v12026
Robust Speech Emotion Recognition under Tone-Word Conflict: A Benchmark and Framework
Xiaojiang Peng, Dawei Huang, Yongjie Lv +5
eess.AScs.SDarXiv:2609.04236v12026
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention
Hideyuki Tachibana, Katsuya Uenoyama, Shunsuke Aihara
cs.SDcs.AIcs.LGarXiv:1710.08969v22017
Do topological models provide good information about vulnerability in electric power networks?
Paul Hines, Eduardo Cotilla-Sanchez, Seth Blumsack
physics.soc-pharXiv:1002.2268v42010
Neural Compatibility Modeling with Attentive Knowledge Distillation
Xuemeng Song, Fuli Feng, Xianjing Han +3
cs.CVcs.MMarXiv:1805.00313v12018
The Missing Coefficients: Bayesian Pairwise Merging for Model Personalization
Yaling Shen, Tongtong Wu, Siyuan Yan +1
cs.LGarXiv:2609.39055v12026
Approaching Human-Level Forecasting with Language Models
Danny Halawi, Fred Zhang, Chen Yueh-Han +1
cs.LGcs.AIcs.CLarXiv:2402.18563v12024
Church: a language for generative models
Noah Goodman, Vikash Mansinghka, Daniel M. Roy +2
cs.PLcs.AIcs.LOarXiv:1206.3255v22012
Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch
Yifan Zhang, Liang Hu, Haofeng Sun +12
cs.CVarXiv:2512.02395v22025
Action Recognition using Visual Attention
Shikhar Sharma, Ryan Kiros, Ruslan Salakhutdinov
cs.LGcs.CVarXiv:1511.04119v32015
Markets, Not Planners: Decentralized Orchestration of LLM Agents with Private Information
Xiao Liu, Haoyang Li, Songwei Li +4
cs.MAcs.CLarXiv:2608.23867v12026
The Quality of Lattice Sequences for Arbitrary Sample Size
Larysa Matiukha, Yuhan Ding, Fred J. Hickernell
stat.COcs.NAmath.NAarXiv:2610.10543v12026
CFD Correction of Open Tip Clearance Flow in a Compressor Cascade Using VAE Latent Space Adaptation
Xiang Zuo, Hefang Deng, Caiyan Chen +4
cs.LGarXiv:2609.28558v12026
ADD for Multi-Bit Image Watermarking
An Luo, Jie Ding
stat.MLcs.AIcs.LGarXiv:2604.11491v12026
DreamGen: Unlocking Generalization in Robot Learning through Video World Models
Joel Jang, Seonghyeon Ye, Zongyu Lin +25
cs.ROcs.AIcs.LGarXiv:2505.12705v22025
Coding Agent Memory Post-training: Unlocking the Memory Potential of Pre-trained File Operations for Long-Horizon Tasks via Reinforcement Learning
Lirui Luo, Kelong Mao, Heming Xia +10
cs.LGcs.AIcs.CLarXiv:2609.34422v12026
Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals
Tomi Kinnunen, Héctor Delgado, Nicholas Evans +8
eess.AScs.LGcs.SDarXiv:2007.05979v22020
Koopman operator-based model reduction for switched-system control of PDEs
Sebastian Peitz, Stefan Klus
math.DSmath.OCarXiv:1710.06759v22017
Fel's Conjecture on Syzygies of Numerical Semigroups
Evan Chen, Chris Cummins, GSM +18
math.COmath.ACmath.NTarXiv:2602.03716v22026
Explicit Capacity-Achieving Quantum LDPC Codes List Decodable in Near-linear Time
William Gay, Fernando Granha Jeronimo, Abhi Shukul
quant-phcs.ITmath.ITarXiv:2609.40313v12026
SlackSwap: Bandwidth-Aware Activation Swapping and Recomputation for Memory-Efficient DNN Training
Hui Feng, Xun Zhou, Yuxin Wang
cs.DCarXiv:2610.13003v12026
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman
cs.CVarXiv:1604.06573v22016
GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
Tongxu Luo, Rongsheng Wang, Jiaxi Bi +22
cs.CLarXiv:2606.17861v12026
MojiTalk: Generating Emotional Responses at Scale
Xianda Zhou, William Yang Wang
cs.CLcs.AIarXiv:1711.04090v22017
Hierarchical modeling of molecular energies using a deep neural network
Nicholas Lubbers, Justin S. Smith, Kipton Barros
stat.MLphysics.chem-pharXiv:1710.00017v12017

Every paper with a summary

TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance

Multi-Scale Dense Networks for Resource Efficient Image Classification

Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations

Predicting Students' Performance Using ID3 And C4.5 Classification Algorithms

Context-Aware Proactive Content Caching with Service Differentiation in Wireless Networks

Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation

Long-term Forecasting using Higher Order Tensor RNNs

Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

Exploring Length Generalization in Large Language Models

Efficient Dynamic Searchable Encryption with Forward Privacy

Distributed continuous-time convex optimization on weight-balanced digraphs

Fast global convergence of gradient methods for high-dimensional statistical recovery

Safe Learning of Adaptive Control Policies for Remote Patient Monitoring

Medium Access Control Protocols for Wireless Sensor Networks with Energy Harvesting

OTTER - Two Transistor - One RRAM Architecture for Reliable In-Memory-Computing in 28 nm CMOS Technology

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models

CARE: Condition-Aware Representation Regularization for Diffusion Models

Exploring the Design Space of Reward Backpropagation for Flow Matching

SCNet: Learning Semantic Correspondence

Discrete Diffusion Language Models for Interactive Radiology Report Drafting

Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws

Representation Learning for Online and Offline RL in Low-rank MDPs

The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering

Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility

CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

Supermartingale Certificates for Parametric MDPs

BERTilda: Explainable Topic Lifecycle Tracking with Split/Merge Detection via Similarity-and-Flow Temporal Graphs

Bayesian Learning for Neural Networks: an algorithmic survey

How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method

Control-Ready Uncertainty for Trajectory Diffusion

SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols

Guided Self-Evolving LLMs with Minimal Human Supervision

MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild

Failure-Resilient Multi-Robot Coordination with $k$-Connectivity Constrained Submodular Maximization

Robust Speech Emotion Recognition under Tone-Word Conflict: A Benchmark and Framework

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

Do topological models provide good information about vulnerability in electric power networks?

Neural Compatibility Modeling with Attentive Knowledge Distillation

The Missing Coefficients: Bayesian Pairwise Merging for Model Personalization

Approaching Human-Level Forecasting with Language Models

Church: a language for generative models

Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch

Action Recognition using Visual Attention

Markets, Not Planners: Decentralized Orchestration of LLM Agents with Private Information

The Quality of Lattice Sequences for Arbitrary Sample Size

CFD Correction of Open Tip Clearance Flow in a Compressor Cascade Using VAE Latent Space Adaptation

ADD for Multi-Bit Image Watermarking

DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Coding Agent Memory Post-training: Unlocking the Memory Potential of Pre-trained File Operations for Long-Horizon Tasks via Reinforcement Learning

Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

Koopman operator-based model reduction for switched-system control of PDEs

Fel's Conjecture on Syzygies of Numerical Semigroups

Explicit Capacity-Achieving Quantum LDPC Codes List Decodable in Near-linear Time

SlackSwap: Bandwidth-Aware Activation Swapping and Recomputation for Memory-Efficient DNN Training

Convolutional Two-Stream Network Fusion for Video Action Recognition

GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?

MojiTalk: Generating Emotional Responses at Scale

Hierarchical modeling of molecular energies using a deep neural network