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)

86,701 to 86,760 of 102,992

Unifying Function- and Argument-First Bidirectional Type Systems
Takuma Yoshioka, Taro Sekiyama, Atsushi Igarashi
cs.PLarXiv:2609.02005v12026
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
Jose M. Facil, Benjamin Ummenhofer, Huizhong Zhou +3
cs.CVarXiv:1904.02028v12019
Efficient Exploration Is Enough
Mikel Malagón, Jon Vadillo, Josu Ceberio +2
cs.LGcs.AIarXiv:2609.07575v12026
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction
Junhong Shen, Hao Bai, Lunjun Zhang +8
cs.LGcs.AIarXiv:2506.07976v22025
Variational Principles for Stochastic Fluid Dynamics
Darryl D. Holm
math-pharXiv:1410.8311v32014
DocPrompting: Generating Code by Retrieving the Docs
Shuyan Zhou, Uri Alon, Frank F. Xu +3
cs.CLcs.AIcs.SEarXiv:2207.05987v32022
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Andrew Gordon Wilson, Pavel Izmailov
cs.LGstat.MLarXiv:2002.08791v42020
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes
Pravin Bhasme, Jenil Vagadiya, Udit Bhatia
stat.MLcs.LGstat.AParXiv:2104.11009v12021
Local Support Learning
Assaf Ben-Kish, Akarsh Kumar, James Glass +1
cs.LGcs.AIarXiv:2610.02126v12026
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
Ujjwal Baid, Satyam Ghodasara, Suyash Mohan +100
cs.CVarXiv:2107.02314v22021
Auditing large language models: a three-layered approach
Jakob Mökander, Jonas Schuett, Hannah Rose Kirk +1
cs.CLcs.AIcs.CYarXiv:2302.08500v22023
Person Search by Multi-Scale Matching
Xu Lan, Xiatian Zhu, Shaogang Gong
cs.CVarXiv:1807.08582v12018
Early science acceleration experiments with GPT-5
Sébastien Bubeck, Christian Coester, Ronen Eldan +11
cs.CLcs.AIarXiv:2511.16072v12025
Error mitigation with Clifford quantum-circuit data
Piotr Czarnik, Andrew Arrasmith, Patrick J. Coles +1
quant-pharXiv:2005.10189v32020
Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors
Joshua Penman
cs.AIcs.CLcs.CRarXiv:2608.23873v12026
Energy Efficiency in Cell-Free Massive MIMO with Zero-Forcing Precoding Design
L. D. Nguyen, T. Q. Duong, H. Q. Ngo +1
cs.ITarXiv:1704.03288v12017
A Hybrid AI Framework for Academic Advising: Integrating Ensemble-Based Grade Prediction and a Rule-Based Expert System
Hamid Saadatfar, Rohollah Hedayati-Nasab, AmirHossein Eshghi +1
cs.AIcs.LGarXiv:2609.26243v12026
Accelerating Scientific Publication in Biology
Ronald D. Vale
q-bio.OTcs.DLarXiv:1509.03775v12015
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models
Ziqi Li
cs.LGstat.MLarXiv:2312.03675v22023
PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding
Selim Kuzucu, Alessio Tonioni, Vasile Lup +3
cs.CVcs.AIcs.CLarXiv:2605.30126v12026
Artificial Intelligence: the global landscape of ethics guidelines
Anna Jobin, Marcello Ienca, Effy Vayena
cs.CYcs.AIarXiv:1906.11668v12019
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
Helge Rhodin, Mathieu Salzmann, Pascal Fua
cs.CVcs.AIarXiv:1804.01110v12018
Conditional Timed Partial Orders: An Expressive and Interpretable Framework for Robot Task Specification and Planning
Sebastian Escobar, Morteza Lahijanian
cs.ROcs.FLarXiv:2609.07905v12026
Detection of false data injection attacks in smart grids based on graph signal processing
Elisabeth Drayer, Tirza Routtenberg
eess.SParXiv:1810.04894v42018
AudioBench: A Universal Benchmark for Audio Large Language Models
Bin Wang, Xunlong Zou, Geyu Lin +6
cs.SDcs.CLeess.ASarXiv:2406.16020v52024
Conditional LSTM-GAN for Melody Generation from Lyrics
Yi Yu, Abhishek Srivastava, Simon Canales
cs.AIcs.SDeess.ASarXiv:1908.05551v22019
OptiPrime: Optimizing Private Inference through Protocol-Hardware Co-design
Jiangrui Yu, Ye Yu, Si Chen +5
cs.ARcs.CRcs.LGarXiv:2609.16898v12026
Randomized Methods for Design of Uncertain Systems: Sample Complexity and Sequential Algorithms
T. Alamo, R. Tempo, A. Luque +1
eess.SYmath.OCarXiv:1304.0678v22013
Agent Plasticity: Measuring Self-Improvement Through Experience
Harman Singh, Anton Bakhtin, Rulin Shao +8
cs.AIarXiv:2610.08902v12026
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
Guanglin Niu, Yang Li, Chengguang Tang +7
cs.AIcs.CLarXiv:2104.13095v22021
A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
Qingchuan Ma, Yuexiao Ma, Yongkang Xie +3
cs.AIcs.LGarXiv:2605.17278v12026
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
Yi Sun, Faustino Gomez, Juergen Schmidhuber
cs.AIstat.MLarXiv:1103.5708v12011
Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision
Wei Du, Shubham Toshniwal, Branislav Kisacanin +7
cs.AIarXiv:2512.15489v12025
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
Oleksiy Ostapenko, Mihai Puscas, Tassilo Klein +2
cs.NEcs.CVcs.LGarXiv:1904.03137v42019
Hierarchical Spatial-aware Siamese Network for Thermal Infrared Object Tracking
Xin Li, Qiao Liu, Nana Fan +2
cs.CVarXiv:1711.09539v22017
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
Qidong Liu, Xian Wu, Xiangyu Zhao +4
cs.CLcs.AIarXiv:2310.18339v22023
An Empirical Study on Eliciting and Improving R1-like Reasoning Models
Zhipeng Chen, Yingqian Min, Beichen Zhang +10
cs.CLarXiv:2503.04548v12025
Learning Neural Templates for Text Generation
Sam Wiseman, Stuart M. Shieber, Alexander M. Rush
cs.CLcs.LGarXiv:1808.10122v32018
Right Frame, Wrong Rule: Cultural Cues Expose the Financial Knowledge Gap They Were Meant to Close
Rania Elbadry, Ahmed Heakl, Saeed Almheiri +12
cs.CLcs.AIcs.LGarXiv:2609.00999v12026
Complexity Theoretic Limitations on Learning Halfspaces
Amit Daniely
cs.CCcs.LGarXiv:1505.05800v22015
Multi-agent Scaling Across Disjunctive and Compensatory Tasks
Carolina Fortuna, Blaz Bertalanic
cs.AIcs.MAarXiv:2609.31563v12026
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Junliang Yu, Hongzhi Yin, Jundong Li +3
cs.IRcs.SIarXiv:2101.06448v42021
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
Ashvin Nair, Abhishek Gupta, Murtaza Dalal +1
cs.LGcs.ROstat.MLarXiv:2006.09359v62020
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning
Shaobo Min, Hantao Yao, Hongtao Xie +3
cs.CVarXiv:2003.13261v22020
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite, Daniel M. Roy
cs.LGarXiv:1703.11008v22017
Multi-mode Transmission for the MIMO Broadcast Channel with Imperfect Channel State Information
Jun Zhang, Marios Kountouris, Jeffrey G. Andrews +1
cs.ITmath.ITarXiv:0903.5108v22009
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models
Jiacong Xu, Shao-Yuan Lo, Bardia Safaei +2
cs.CVcs.CLarXiv:2502.07601v22025
Solution properties of a 3D stochastic Euler fluid equation
Dan Crisan, Franco Flandoli, Darryl D. Holm
math-phmath.APphysics.flu-dynarXiv:1704.06989v22017
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Zhihan Gao, Xingjian Shi, Hao Wang +4
cs.LGcs.AIcs.CVarXiv:2207.05833v22022
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
Lingchen Meng, Hengduo Li, Bor-Chun Chen +4
cs.CVarXiv:2111.15668v12021
MTNT: A Testbed for Machine Translation of Noisy Text
Paul Michel, Graham Neubig
cs.CLarXiv:1809.00388v12018
Concerns about Modelling of the EDGES Data
Richard Hills, Girish Kulkarni, P. Daniel Meerburg +1
astro-ph.COastro-ph.IMhep-pharXiv:1805.01421v32018
Generalizable Multi-Agent Planning from Signal Temporal Logic Specifications via Diffusion
Joe Eappen, Zikang Xiong, Shreyash S. Iyengar +1
cs.MAcs.AIcs.ROarXiv:2608.29490v12026
Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System
Yuwen Yang, Feifei Gao, Geoffrey Ye Li +1
eess.SPcs.ITarXiv:1908.03360v32019
zkBridge: Trustless Cross-chain Bridges Made Practical
Tiancheng Xie, Jiaheng Zhang, Zerui Cheng +5
cs.CRarXiv:2210.00264v12022
Non-Gaussian power grid frequency fluctuations characterized by Lévy-stable laws and superstatistics
Benjamin Schäfer, Christian Beck, Kazuyuki Aihara +2
physics.data-annlin.AOphysics.app-pharXiv:1807.08496v12018
ReliabilityBench: Evaluating LLM Agent Reliability Under Production-Like Stress Conditions
Aayush Gupta
cs.AIarXiv:2601.06112v12026
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
Dongkun Zhang, Ling Guo, George Em Karniadakis
cs.LGmath.NAphysics.comp-pharXiv:1905.01205v22019
Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming
Chao Ning, Fengqi You
cs.LGmath.OCstat.MLarXiv:1904.01934v12019
Generative Refinement Networks for Visual Synthesis
Jian Han, Jinlai Liu, Jiahuan Wang +2
cs.CVarXiv:2604.13030v22026

Every paper with a summary

Unifying Function- and Argument-First Bidirectional Type Systems

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

Efficient Exploration Is Enough

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction

Variational Principles for Stochastic Fluid Dynamics

DocPrompting: Generating Code by Retrieving the Docs

Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes

Local Support Learning

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Auditing large language models: a three-layered approach

Person Search by Multi-Scale Matching

Early science acceleration experiments with GPT-5

Error mitigation with Clifford quantum-circuit data

Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors

Energy Efficiency in Cell-Free Massive MIMO with Zero-Forcing Precoding Design

A Hybrid AI Framework for Academic Advising: Integrating Ensemble-Based Grade Prediction and a Rule-Based Expert System

Accelerating Scientific Publication in Biology

GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models

PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding

Artificial Intelligence: the global landscape of ethics guidelines

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation

Conditional Timed Partial Orders: An Expressive and Interpretable Framework for Robot Task Specification and Planning

Detection of false data injection attacks in smart grids based on graph signal processing

AudioBench: A Universal Benchmark for Audio Large Language Models

Conditional LSTM-GAN for Melody Generation from Lyrics

OptiPrime: Optimizing Private Inference through Protocol-Hardware Co-design

Randomized Methods for Design of Uncertain Systems: Sample Complexity and Sequential Algorithms

Agent Plasticity: Measuring Self-Improvement Through Experience

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion

A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation

Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments

Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

Hierarchical Spatial-aware Siamese Network for Thermal Infrared Object Tracking

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Learning Neural Templates for Text Generation

Right Frame, Wrong Rule: Cultural Cues Expose the Financial Knowledge Gap They Were Meant to Close

Complexity Theoretic Limitations on Learning Halfspaces

Multi-agent Scaling Across Disjunctive and Compensatory Tasks

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning

Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data

Multi-mode Transmission for the MIMO Broadcast Channel with Imperfect Channel State Information

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models

Solution properties of a 3D stochastic Euler fluid equation

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition

MTNT: A Testbed for Machine Translation of Noisy Text

Concerns about Modelling of the EDGES Data

Generalizable Multi-Agent Planning from Signal Temporal Logic Specifications via Diffusion

Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System

zkBridge: Trustless Cross-chain Bridges Made Practical

Non-Gaussian power grid frequency fluctuations characterized by Lévy-stable laws and superstatistics

ReliabilityBench: Evaluating LLM Agent Reliability Under Production-Like Stress Conditions

Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks

Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming

Generative Refinement Networks for Visual Synthesis