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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64,861 to 64,920 of 104,260

A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network
Zijian Zhang, Linglong Dai
eess.SPcs.ITcs.PFarXiv:2002.03744v32020
Neural Baby Talk
Jiasen Lu, Jianwei Yang, Dhruv Batra +1
cs.CVcs.CLarXiv:1803.09845v12018
Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
Hyunjong Park, Sanghoon Lee, Junghyup Lee +1
cs.CVarXiv:2108.07422v12021
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference
Francesco Conti, Pasquale Davide Schiavone, Luca Benini
cs.NEcs.ARcs.LGarXiv:1807.03010v12018
AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents
Akshat Naik, Emma Gouné, Patrick Quinn +4
cs.AIcs.CLcs.CYarXiv:2506.04018v32025
Fine-Tuning GPT-5 for GPU Kernel Generation
Ali Tehrani, Yahya Emara, Essam Wissam +4
cs.DCcs.AIcs.LGarXiv:2602.11000v12026
Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade +3
cs.LGcs.AIcs.CLarXiv:2605.07924v12026
On the Pitfalls of Measuring Emergent Communication
Ryan Lowe, Jakob Foerster, Y-Lan Boureau +2
cs.LGcs.AIcs.CLarXiv:1903.05168v12019
Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems
Hien Quoc Ngo, Erik G. Larsson, Thomas L. Marzetta
cs.ITarXiv:1112.3810v22011
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
Lin-Zhuo Chen, Zheng Lin, Ziqin Wang +2
cs.CVarXiv:2004.04534v22020
Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction
Talia B. Kimber, Sebastian Engelke, Igor V. Tetko +2
cs.LGstat.MLarXiv:1812.04439v12018
Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
Lv Tang, Haoke Xiao, Bo Li
cs.CVarXiv:2304.04709v22023
SSE-Bio: A Structured Self-Evolving Agent with Agentic Retrieval Policy for Multi-Hop Biomedical Reasoning
Zhaohan Meng, Zaiqiao Meng, Siwei Liu +3
cs.CLcs.AIcs.CEarXiv:2608.22132v12026
Graph Information Bottleneck
Tailin Wu, Hongyu Ren, Pan Li +1
cs.LGstat.MLarXiv:2010.12811v12020
Summaries:한국어
TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments
Zhiyu Huang, Yun Zhang, Johnson Liu +3
cs.ROarXiv:2602.02459v22026
Quantum federated learning through blind quantum computing
Weikang Li, Sirui Lu, Dong-Ling Deng
quant-phcs.CRcs.LGarXiv:2103.08403v22021
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
Marcin Andrychowicz, Anton Raichuk, Piotr Stańczyk +9
cs.LGstat.MLarXiv:2006.05990v12020
LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents
Md Nayem Uddin, Amir Saeidi, Eduardo Blanco +1
cs.AIcs.CLarXiv:2606.20529v12026
Dynamical laser spike processing
Bhavin J. Shastri, Mitchell A. Nahmias, Alexander N. Tait +3
physics.opticsarXiv:1507.06713v12015
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen +2
cs.LGcs.CLstat.MLarXiv:1903.04561v22019
GreenPipe: Power Modeling for Containerized DNN Inference on Kubernetes Edge Nodes
Mengxue Wang, Peini Liu, Amir Taherkordi +1
cs.DCcs.PFarXiv:2609.04952v12026
MI-PEFT: Mixture-of-Experts Integrated Parameter-Efficient Fine-Tuning Protein Language Models Improves Acidophilic Proteins Classification
Honghan Shen
q-bio.QMcs.LGarXiv:2609.08059v12026
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy
cs.AIcs.HCarXiv:2001.02114v12020
Cognitive Non-Orthogonal Multiple Access with Cooperative Relaying: A New Wireless Frontier for 5G Spectrum Sharing
Lu Lv, Jian Chen, Qiang Ni +2
cs.ITarXiv:1801.04022v12018
How to Approximate A Set Without Knowing Its Size In Advance
Rasmus Pagh, Gil Segev, Udi Wieder
cs.DSarXiv:1304.1188v22013
Stronger Alignment between Brain Activity and LLM Embeddings during Code Writing compared to Prose Writing
Zachary Karas, Catie Chang, Kevin Leach +1
cs.HCarXiv:2608.24900v12026
Towards Evolving Context Parameterization for Large Language Models
Xiaobing Shi, Zherui Li, Yiming Jiang +2
cs.CLcs.AIarXiv:2609.14168v12026
Learning to Paint With Model-based Deep Reinforcement Learning
Zhewei Huang, Wen Heng, Shuchang Zhou
cs.CVcs.AIarXiv:1903.04411v32019
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers
cs.CLarXiv:2110.01518v12021
From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network
Shaoshuai Shi, Zhe Wang, Jianping Shi +2
cs.CVarXiv:1907.03670v32019
Nested Polar Codes for Wiretap and Relay Channels
Mattias Andersson, Vishwambhar Rathi, Ragnar Thobaben +2
cs.ITarXiv:1006.3573v12010
A Nonparametric Approach to Modeling Choice with Limited Data
Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah
stat.AParXiv:0910.0063v42009
Human Mobility: Models and Applications
Hugo Barbosa-Filho, Marc Barthelemy, Gourab Ghoshal +7
physics.soc-pharXiv:1710.00004v12017
The thermodynamic cost of driving quantum systems by their boundaries
Felipe Barra
quant-phcond-mat.stat-mecharXiv:1509.04223v22015
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
Xiaojun Hou, Jiazheng Xing, Yijie Qian +8
cs.CVarXiv:2403.16002v22024
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Qiufu Li, Linlin Shen, Sheng Guo +1
cs.CVarXiv:2107.13335v12021
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Steve Branson, Grant Van Horn, Serge Belongie +1
cs.CVarXiv:1406.2952v12014
AI co-mathematician: Accelerating mathematicians with agentic AI
Daniel Zheng, Ingrid von Glehn, Yori Zwols +15
cs.AIarXiv:2605.06651v22026
The ground truth about metadata and community detection in networks
Leto Peel, Daniel B. Larremore, Aaron Clauset
cs.SIphysics.data-anphysics.soc-pharXiv:1608.05878v22016
Continuous Process-Level Evaluation for Evolving Enterprise AI Agent Skills
Ngoc Phuoc An Vo, Aarya Doshi, Vadim Sheinin
cs.AIcs.SEarXiv:2610.01833v12026
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +111
cs.LGcs.AIcs.CYarXiv:2108.07258v32021
TriMap: Large-scale Dimensionality Reduction Using Triplets
Ehsan Amid, Manfred K. Warmuth
cs.LGstat.MLarXiv:1910.00204v22019
On Application of Learning to Rank for E-Commerce Search
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
cs.IRcs.LGstat.MLarXiv:1903.04263v12019
LLM-Enhanced Commit Message Generation via Issue Information: An Exploratory Study
Zongen Ren, Wei Shi, Bo Xiong +2
cs.SEarXiv:2608.22004v12026
Model Predictive Control of Tensegrity Robots via Contact-Aware Graph Neural Dynamics Model
Nelson Chen, Patrick Meng, Charles Tang +5
cs.ROarXiv:2609.08958v12026
Package-X 2.0: A Mathematica package for the analytic calculation of one-loop integrals
Hiren H. Patel
hep-pharXiv:1612.00009v22016
$\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens
Xinrong Zhang, Yingfa Chen, Shengding Hu +8
cs.CLarXiv:2402.13718v32024
Gaussian Process Regression with a Student-t Likelihood
Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari
stat.MLstat.MEarXiv:1106.4431v12011
PalmClaw: A Native On-Device Agent Framework for Mobile Phones
Hongru Cai, Yongqi Li, Ran Wei +1
cs.CLcs.AIarXiv:2607.13027v12026
Adversarial Attacks on Robotic Vision Language Action Models
Eliot Krzysztof Jones, Alexander Robey, Andy Zou +5
cs.ROcs.AIarXiv:2506.03350v12025
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Philip Bachman +3
cs.LGstat.MLarXiv:1709.06560v32017
Multi-Domain Iterative Detection for Massive Connectivity in LEO Satellite Networks
Xinhua Liu, Yueqing Wang, Keke Ying +7
eess.SPcs.ITarXiv:2607.09212v12026
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Yong Liu, Tengge Hu, Haoran Zhang +4
cs.LGarXiv:2310.06625v42023
$\alpha$-Rank: Multi-Agent Evaluation by Evolution
Shayegan Omidshafiei, Christos Papadimitriou, Georgios Piliouras +7
cs.MAcs.GTarXiv:1903.01373v42019
Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks
Nicholas Geneva, Nicholas Zabaras
physics.flu-dynphysics.comp-phstat.MLarXiv:1807.02901v32018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +424
cs.CVcs.AIcs.LGarXiv:1811.02629v32018
FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows
Daniel Gilo, Sven Elflein, Ido Sobol +1
cs.CVarXiv:2606.20404v12026
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe, Ana Marasović, Noah A. Smith
cs.CLarXiv:2010.12762v42020
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Yurong You, Yan Wang, Wei-Lun Chao +5
cs.CVarXiv:1906.06310v32019
Machine Learning for Reliable mmWave Systems: Blockage Prediction and Proactive Handoff
Ahmed Alkhateeb, Iz Beltagy
cs.ITeess.SPmath.ITarXiv:1807.02723v12018

Every paper with a summary

A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network

Neural Baby Talk

Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences

XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference

AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents

Fine-Tuning GPT-5 for GPU Kernel Generation

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation

On the Pitfalls of Measuring Emergent Communication

Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems

Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation

Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction

Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

SSE-Bio: A Structured Self-Evolving Agent with Agentic Retrieval Policy for Multi-Hop Biomedical Reasoning

Graph Information Bottleneck

TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments

Quantum federated learning through blind quantum computing

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents

Dynamical laser spike processing

Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification

GreenPipe: Power Modeling for Containerized DNN Inference on Kubernetes Edge Nodes

MI-PEFT: Mixture-of-Experts Integrated Parameter-Efficient Fine-Tuning Protein Language Models Improves Acidophilic Proteins Classification

Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making

Cognitive Non-Orthogonal Multiple Access with Cooperative Relaying: A New Wireless Frontier for 5G Spectrum Sharing

How to Approximate A Set Without Knowing Its Size In Advance

Stronger Alignment between Brain Activity and LLM Embeddings during Code Writing compared to Prose Writing

Towards Evolving Context Parameterization for Large Language Models

Learning to Paint With Model-based Deep Reinforcement Learning

Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Nested Polar Codes for Wiretap and Relay Channels

A Nonparametric Approach to Modeling Choice with Limited Data

Human Mobility: Models and Applications

The thermodynamic cost of driving quantum systems by their boundaries

SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking

WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

Bird Species Categorization Using Pose Normalized Deep Convolutional Nets

AI co-mathematician: Accelerating mathematicians with agentic AI

The ground truth about metadata and community detection in networks

Continuous Process-Level Evaluation for Evolving Enterprise AI Agent Skills

On the Opportunities and Risks of Foundation Models

TriMap: Large-scale Dimensionality Reduction Using Triplets

On Application of Learning to Rank for E-Commerce Search

LLM-Enhanced Commit Message Generation via Issue Information: An Exploratory Study

Model Predictive Control of Tensegrity Robots via Contact-Aware Graph Neural Dynamics Model

Package-X 2.0: A Mathematica package for the analytic calculation of one-loop integrals

$\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens

Gaussian Process Regression with a Student-t Likelihood

PalmClaw: A Native On-Device Agent Framework for Mobile Phones

Adversarial Attacks on Robotic Vision Language Action Models

Deep Reinforcement Learning that Matters

Multi-Domain Iterative Detection for Massive Connectivity in LEO Satellite Networks

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

$\alpha$-Rank: Multi-Agent Evaluation by Evolution

Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows

Measuring Association Between Labels and Free-Text Rationales

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

Machine Learning for Reliable mmWave Systems: Blockage Prediction and Proactive Handoff