Artificial Intelligence

Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. 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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6,481 to 6,540 of 15,348

Agentic Confidence Calibration
Jiaxin Zhang, Caiming Xiong, Chien-Sheng Wu
cs.AIcs.CLarXiv:2601.15778v12026
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Zijin Hong, Zheng Yuan, Qinggang Zhang +4
cs.CLcs.AIcs.DBarXiv:2406.08426v82024
Trust in AI: Progress, Challenges, and Future Directions
Saleh Afroogh, Ali Akbari, Evan Malone +2
cs.CYcs.AIarXiv:2403.14680v32024
Summaries:한국어
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso, Adam Jelley, Vincent Micheli +4
cs.LGcs.AIcs.CVarXiv:2405.12399v22024
BLINK: Multimodal Large Language Models Can See but Not Perceive
Xingyu Fu, Yushi Hu, Bangzheng Li +7
cs.CVcs.AIcs.CLarXiv:2404.12390v42024
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron, Louis Martin, Kevin Stone +65
cs.CLcs.AIarXiv:2307.09288v22023
Summaries:한국어
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin, Huan Yee Koh, Qingsong Wen +5
cs.LGcs.AIarXiv:2307.03759v32023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov, Archit Sharma, Eric Mitchell +3
cs.LGcs.AIcs.CLarXiv:2305.18290v32023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
Shanliang Yao, Runwei Guan, Xiaoyu Huang +8
cs.CVcs.AIcs.ROarXiv:2304.10410v22023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Zhiqing Sun, Yikang Shen, Qinhong Zhou +5
cs.LGcs.AIcs.CLarXiv:2305.03047v22023
Summaries:한국어
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su +1
cs.LGcs.AIcs.CVarXiv:2302.00487v32023
MAILS -- Meta AI Literacy Scale: Development and Testing of an AI Literacy Questionnaire Based on Well-Founded Competency Models and Psychological Change- and Meta-Competencies
Astrid Carolus, Martin Koch, Samantha Straka +2
cs.AIcs.HCarXiv:2302.09319v12023
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue, Flora D. Salim
stat.MEcs.AIcs.CLarXiv:2210.08964v52022
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu +1
cs.CVcs.AIcs.LGarXiv:2209.04747v62022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh, Valts Blukis, Arsalan Mousavian +6
cs.ROcs.AIcs.CLarXiv:2209.11302v12022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz, Zhijin Qin, Inaki Estella Aguerri +5
cs.ITcs.AIcs.LGarXiv:2207.09353v22022
Egocentric Video-Language Pretraining
Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan +13
cs.CVcs.AIarXiv:2206.01670v22022
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang +17
cs.CLcs.AIcs.LGarXiv:2203.02155v12022
Summaries:한국어
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans +6
cs.CLcs.AIarXiv:2201.11903v62022
LaMDA: Language Models for Dialog Applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall +57
cs.CLcs.AIarXiv:2201.08239v32022
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers
Albert Gu, Isys Johnson, Karan Goel +4
cs.LGcs.AIarXiv:2110.13985v12021
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg, Wenyu Zhang, Jules Samaran +2
cs.LGcs.AIstat.MLarXiv:2109.11428v12021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu +3
cs.CLcs.AIcs.LGarXiv:2107.13586v12021
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions
Hammond Pearce, Baleegh Ahmad, Benjamin Tan +2
cs.CRcs.AIarXiv:2108.09293v32021
Deep Subdomain Adaptation Network for Image Classification
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang +5
cs.CVcs.AIarXiv:2106.09388v12021
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel D. Johnson, Jonathan Ho +2
cs.LGcs.AIcs.CLarXiv:2107.03006v32021
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga +18
eess.AScs.AIcs.LGarXiv:2106.04624v12021
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction
Zheng Huang, Kai Chen, Jianhua He +4
cs.AIarXiv:2103.10213v12021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao, Minghong Fang, Jia Liu +1
cs.CRcs.AIcs.DCarXiv:2012.13995v32020
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen +5
cs.LGcs.AIstat.MLarXiv:2009.11732v32020
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
Qingqing Wu, Jie Xu, Yong Zeng +4
cs.ITcs.AIcs.LGarXiv:2010.09317v22020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov +9
cs.CVcs.AIcs.LGarXiv:2010.11929v22020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning
Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro
cs.CRcs.AIarXiv:2009.03561v52020
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud, İsmail İlkan Ceylan, Thomas Lukasiewicz +1
cs.AIcs.LGarXiv:2007.06267v22020
Inference-Time Scaling for Generalist Reward Modeling
Zijun Liu, Peiyi Wang, Runxin Xu +5
cs.CLcs.AIcs.LGarXiv:2504.02495v32025
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das, Paul Rad
cs.CVcs.AIcs.LGarXiv:2006.11371v22020
WebSailor: Navigating Super-human Reasoning for Web Agent
Kuan Li, Zhongwang Zhang, Huifeng Yin +16
cs.CLcs.AIarXiv:2507.02592v12025
Machine Unlearning
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo +5
cs.CRcs.AIcs.LGarXiv:1912.03817v32019
Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies
Hong-Ning Dai, Hao Wang, Guangquan Xu +2
cs.CYcs.AIcs.LGarXiv:1909.00413v12019
Invariant Risk Minimization
Martin Arjovsky, Léon Bottou, Ishaan Gulrajani +1
stat.MLcs.AIcs.LGarXiv:1907.02893v32019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler, Simon Wiedemann, Klaus-Robert Müller +1
cs.LGcs.AIcs.DCarXiv:1903.02891v12019
SNAS: Stochastic Neural Architecture Search
Sirui Xie, Hehui Zheng, Chunxiao Liu +1
cs.LGcs.AIstat.MLarXiv:1812.09926v32018
Agentic Misalignment: How LLMs Could Be Insider Threats
Aengus Lynch, Benjamin Wright, Caleb Larson +5
cs.CRcs.AIcs.LGarXiv:2510.05179v22025
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco Cohen, Mario Geiger, Maurice Weiler
cs.LGcs.AIcs.CGarXiv:1811.02017v22018
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Bernal Jiménez Gutiérrez, Yiheng Shu, Weijian Qi +2
cs.CLcs.AIarXiv:2502.14802v22025
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris, Martin Ritzert, Matthias Fey +4
cs.LGcs.AIcs.CVarXiv:1810.02244v52018
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Sili Chen, Hengkai Guo, Shengnan Zhu +4
cs.CVcs.AIarXiv:2501.12375v32025
Understanding and Overcoming the Challenges of Efficient Transformer Quantization
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
cs.LGcs.AIcs.CLarXiv:2109.12948v12021
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
Xianfu Chen, Honggang Zhang, Celimuge Wu +3
cs.LGcs.AIstat.MLarXiv:1805.06146v12018
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang, Xu Chen
cs.IRcs.AIcs.MMarXiv:1804.11192v102018
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
Wenbo Hu, Yuling Wang, Lin Ma +4
cs.CVcs.AIcs.GRarXiv:2307.11335v12023
Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management
Ursula Challita, Walid Saad, Christian Bettstetter
cs.ITcs.AIcs.GTarXiv:1801.05500v12018
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding, Zhaofei Yu, Yonghong Tian +1
cs.NEcs.AIcs.CVarXiv:2105.11654v12021
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
Maziar Raissi, Paris Perdikaris, George Em Karniadakis
cs.AIcs.LGmath.DSarXiv:1711.10561v12017
Real-Time Execution of Action Chunking Flow Policies
Kevin Black, Manuel Y. Galliker, Sergey Levine
cs.ROcs.AIcs.LGarXiv:2506.07339v22025
Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi, Dipendra Misra, Michael L. Littman
cs.LGcs.AIstat.MLarXiv:1804.07193v32018
DiffuSearch: How Hybrid Trajectory Planning Benefits from Aligned Objectives in Diffusion and Action Space
Steffen Hagedorn, Aron Distelzweig, Alexandru P. Condurache
cs.ROcs.AIarXiv:2609.02252v12026
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Maximilian Igl, Kamil Ciosek, Yingzhen Li +4
cs.LGcs.AIstat.MLarXiv:1910.12911v12019
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta +4
cs.LGcs.AIcs.ROarXiv:1709.10087v22017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
cs.AIarXiv:1709.07604v32017

Artificial Intelligence

Agentic Confidence Calibration

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL

Trust in AI: Progress, Challenges, and Future Directions

Diffusion for World Modeling: Visual Details Matter in Atari

BLINK: Multimodal Large Language Models Can See but Not Perceive

Llama 2: Open Foundation and Fine-Tuned Chat Models

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

A Comprehensive Survey of Continual Learning: Theory, Method and Application

MAILS -- Meta AI Literacy Scale: Development and Testing of an AI Literacy Questionnaire Based on Well-Founded Competency Models and Psychological Change- and Meta-Competencies

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

Diffusion Models in Vision: A Survey

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

Egocentric Video-Language Pretraining

Training language models to follow instructions with human feedback

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

LaMDA: Language Models for Dialog Applications

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

Deep Subdomain Adaptation Network for Image Classification

Structured Denoising Diffusion Models in Discrete State-Spaces

SpeechBrain: A General-Purpose Speech Toolkit

ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

A Unifying Review of Deep and Shallow Anomaly Detection

A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

BoxE: A Box Embedding Model for Knowledge Base Completion

Inference-Time Scaling for Generalist Reward Modeling

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

WebSailor: Navigating Super-human Reasoning for Web Agent

Machine Unlearning

Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies

Invariant Risk Minimization

Robust and Communication-Efficient Federated Learning from Non-IID Data

SNAS: Stochastic Neural Architecture Search

Agentic Misalignment: How LLMs Could Be Insider Threats

A General Theory of Equivariant CNNs on Homogeneous Spaces

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

Understanding and Overcoming the Challenges of Efficient Transformer Quantization

Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

Explainable Recommendation: A Survey and New Perspectives

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields

Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management

Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks

Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Real-Time Execution of Action Chunking Flow Policies

Lipschitz Continuity in Model-based Reinforcement Learning

DiffuSearch: How Hybrid Trajectory Planning Benefits from Aligned Objectives in Diffusion and Action Space

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications