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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7,501 to 7,560 of 15,222

Kolmogorov-Arnold Networks are Radial Basis Function Networks
Ziyao Li
cs.LGcs.AIarXiv:2405.06721v12024
H3-World: Turning Language Understanding into World Control
Danze Chen, Zeqing Wang, Ziyue Lin +2
cs.CVcs.AIarXiv:2609.01560v12026
Document-level Relation Extraction as Semantic Segmentation
Ningyu Zhang, Xiang Chen, Xin Xie +6
cs.CLcs.AIcs.CVarXiv:2106.03618v22021
Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
Qimei Cui, Xiaohu You, Ni Wei +22
cs.NIcs.AIeess.SParXiv:2412.14538v42024
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task
Tao Yu, Michihiro Yasunaga, Kai Yang +4
cs.CLcs.AIarXiv:1810.05237v22018
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
Xuan Di, Rongye Shi
cs.AIcs.ROarXiv:2007.05156v12020
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou +2
cs.CLcs.AIcs.IRarXiv:2305.13062v52023
Fine-tuning ChatGPT for Automatic Scoring
Ehsan Latif, Xiaoming Zhai
cs.CLcs.AIarXiv:2310.10072v32023
Vision Language Models in Autonomous Driving: A Survey and Outlook
Xingcheng Zhou, Mingyu Liu, Ekim Yurtsever +4
cs.CVcs.AIarXiv:2310.14414v22023
The Safeguard Worked. Is the LLM System Safer?
Pingyu Wu, Weiming Zhang, Nenghai Yu
cs.CRcs.AIarXiv:2609.00519v12026
InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttal
Xuerui Su, Liya Guo, Qizhi Pei +5
cs.AIarXiv:2608.28612v12026
Bayesian Optimization with Gradients
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson +1
stat.MLcs.AIcs.LGarXiv:1703.04389v32017
Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning
Yuanlong Li, Yonggang Wen, Kyle Guan +1
cs.AIeess.SYarXiv:1709.05077v42017
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation
Rui Wang, Zuxuan Wu, Zejia Weng +3
cs.CVcs.AIcs.LGarXiv:2106.05528v22021
EM^2Mem: Event-Centric Multimodal Memory for Large Language Models
Yijun Chen, Yaqi Zheng, Yanya Li +11
cs.CLcs.AIcs.LGarXiv:2609.00551v12026
Event Representations for Automated Story Generation with Deep Neural Nets
Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang +4
cs.CLcs.AIcs.LGarXiv:1706.01331v32017
A Voting-Based System for Ethical Decision Making
Ritesh Noothigattu, Snehalkumar 'Neil' S. Gaikwad, Edmond Awad +4
cs.AIcs.CYcs.GTarXiv:1709.06692v22017
Open-Ended Learning Leads to Generally Capable Agents
Open Ended Learning Team, Adam Stooke, Anuj Mahajan +15
cs.LGcs.AIcs.MAarXiv:2107.12808v22021
DocPrompting: Generating Code by Retrieving the Docs
Shuyan Zhou, Uri Alon, Frank F. Xu +3
cs.CLcs.AIcs.SEarXiv:2207.05987v32022
Global Context Vision Transformers
Ali Hatamizadeh, Hongxu Yin, Greg Heinrich +2
cs.CVcs.AIcs.LGarXiv:2206.09959v52022
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
Igor Mozetic, Miha Grcar, Jasmina Smailovic
cs.CLcs.AIarXiv:1602.07563v22016
LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering
Gopi Krishnan Rajbahadur, Amir M. Ebrahimi, Boyuan Chen +1
cs.SEcs.AIcs.LGarXiv:2608.31102v12026
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Lu Cheng, Kush R. Varshney, Huan Liu
cs.CYcs.AIarXiv:2101.02032v52021
GUI-CC: Benchmarking Contextual Consistency of GUI World Models as Agent Environments
Lin Fu, Zheyuan Yang, Tianhui Zhang +5
cs.CLcs.AIarXiv:2609.00048v12026
An Empirical Study of Real-World SPARQL Queries
Mario Arias, Javier D. Fernández, Miguel A. Martínez-Prieto +1
cs.IRcs.AIcs.HCarXiv:1103.5043v12011
Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening
Sarra Bouchkati, Petros Ellinas, Adriana Geisler +4
eess.SYcs.AIcs.LGarXiv:2608.30889v12026
CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations
Gabriel Meseguer-Brocal, Yuexuan Kong, Romain Hennequin
cs.SDcs.AIcs.LGarXiv:2608.30974v12026
Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition
Valentin M. Meunier, Amélie Gruel, Pierre Lewden +2
cs.NEcs.AIcs.LGarXiv:2608.30792v12026
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan +6
cs.DCcs.AIarXiv:2012.10557v12020
Measuring the Business Value of Recommender Systems
Dietmar Jannach, Michael Jugovac
cs.IRcs.AIcs.LGarXiv:1908.08328v32019
Scalable Bayesian Rule Lists
Hongyu Yang, Cynthia Rudin, Margo Seltzer
cs.AIarXiv:1602.08610v22016
On Adversarial Examples for Character-Level Neural Machine Translation
Javid Ebrahimi, Daniel Lowd, Dejing Dou
cs.CLcs.AIarXiv:1806.09030v12018
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Haohai Sun, Jialun Zhong, Yunpu Ma +2
cs.LGcs.AIcs.CLarXiv:2109.04101v12021
Fine-Grained Multi Image Object Hallucination Benchmark
Joonki Min, Chaeyun Kim, Hyungwook Choi +4
cs.CVcs.AIcs.LGarXiv:2608.30653v12026
Provable Meta-Learning of Linear Representations
Nilesh Tripuraneni, Chi Jin, Michael I. Jordan
cs.LGcs.AIstat.MLarXiv:2002.11684v52020
Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle
Dennis Gross, Helge Spieker
cs.AIcs.LGarXiv:2608.30581v12026
Explaining Answers with Entailment Trees
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord +4
cs.CLcs.AIarXiv:2104.08661v32021
ObjectSplat: Improving Mesh Fidelity and Interactivity for 3D Scenes via Object-Level Mesh Splatting
Minhas Kamal, Hiranya Garbha Kumar, Mahedi Kamal +1
cs.CVcs.AIcs.LGarXiv:2608.30423v12026
Compositional Chain-of-Thought Prompting for Large Multimodal Models
Chancharik Mitra, Brandon Huang, Trevor Darrell +1
cs.CVcs.AIcs.CLarXiv:2311.17076v32023
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villella +34
cs.MAcs.AIcs.GTarXiv:2010.09776v22020
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala +2
cs.LGcs.AIstat.MLarXiv:1907.09294v12019
TSExplorer: An interactive data annotation and exploration tool for time-series data
Einari Vaaras, Manu Airaksinen, Okko Räsänen
cs.HCcs.AIcs.LGarXiv:2608.30514v12026
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Mosh Levy, Alon Jacoby, Yoav Goldberg
cs.CLcs.AIarXiv:2402.14848v22024
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu, Emily Denton, Arthur Szlam +1
cs.AIcs.LGarXiv:1802.09640v32018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Ofir Nachum, Shixiang Gu, Honglak Lee +1
cs.AIarXiv:1810.01257v22018
Revisiting the "Video" in Video-Language Understanding
Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon +3
cs.CVcs.AIcs.CLarXiv:2206.01720v12022
Structure-Grounded Pretraining for Text-to-SQL
Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek +3
cs.CLcs.AIarXiv:2010.12773v32020
Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization
Yiyang Lu, Mohammad Pedramfar, Vaneet Aggarwal
math.OCcs.AIcs.LGarXiv:2608.30271v12026
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
Hazim Hanif, Sergio Maffeis
cs.CRcs.AIcs.LGarXiv:2205.12424v12022
Motus2: A Self-Evolving General World Model for Dexterous Manipulation
Hongzhe Bi, Zihao Zhou, Yihang Tang +16
cs.ROcs.AIcs.CVarXiv:2608.30237v12026
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong
cs.CVcs.AIarXiv:2307.12493v42023
From Machine Learning to Machine Reasoning
Leon Bottou
cs.AIcs.LGarXiv:1102.1808v32011
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Davide Morelli, Alberto Baldrati, Giuseppe Cartella +3
cs.CVcs.AIcs.MMarXiv:2305.13501v32023
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Victor Campos, Brendan Jou, Xavier Giro-i-Nieto +2
cs.AIcs.CVarXiv:1708.06834v32017
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Li, Jessica Pan, Jeremy Goldwasser +10
cs.CLcs.AIarXiv:2107.02975v12021
Causal Machine Learning for Healthcare and Precision Medicine
Pedro Sanchez, Jeremy P. Voisey, Tian Xia +3
cs.LGcs.AIarXiv:2205.11402v22022
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
Wei Niu, Jiexiong Guan, Yanzhi Wang +2
cs.LGcs.AIarXiv:2108.13342v22021
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
Sijie Mai, Ying Zeng, Shuangjia Zheng +1
cs.AIarXiv:2109.01797v12021
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Jayanta Mandi, James Kotary, Senne Berden +4
cs.LGcs.AImath.OCarXiv:2307.13565v42023
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Wenhao Yu, Hongming Zhang, Xiaoman Pan +3
cs.CLcs.AIarXiv:2311.09210v22023

Artificial Intelligence

Kolmogorov-Arnold Networks are Radial Basis Function Networks

H3-World: Turning Language Understanding into World Control

Document-level Relation Extraction as Semantic Segmentation

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task

A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

Fine-tuning ChatGPT for Automatic Scoring

Vision Language Models in Autonomous Driving: A Survey and Outlook

The Safeguard Worked. Is the LLM System Safer?

InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttal

Bayesian Optimization with Gradients

Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning

Cross-domain Contrastive Learning for Unsupervised Domain Adaptation

EM^2Mem: Event-Centric Multimodal Memory for Large Language Models

Event Representations for Automated Story Generation with Deep Neural Nets

A Voting-Based System for Ethical Decision Making

Open-Ended Learning Leads to Generally Capable Agents

DocPrompting: Generating Code by Retrieving the Docs

Global Context Vision Transformers

Multilingual Twitter Sentiment Classification: The Role of Human Annotators

LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering

Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

GUI-CC: Benchmarking Contextual Consistency of GUI World Models as Agent Environments

An Empirical Study of Real-World SPARQL Queries

Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening

CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations

Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

Measuring the Business Value of Recommender Systems

Scalable Bayesian Rule Lists

On Adversarial Examples for Character-Level Neural Machine Translation

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Fine-Grained Multi Image Object Hallucination Benchmark

Provable Meta-Learning of Linear Representations

Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle

Explaining Answers with Entailment Trees

ObjectSplat: Improving Mesh Fidelity and Interactivity for 3D Scenes via Object-Level Mesh Splatting

Compositional Chain-of-Thought Prompting for Large Multimodal Models

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations

TSExplorer: An interactive data annotation and exploration tool for time-series data

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Modeling Others using Oneself in Multi-Agent Reinforcement Learning

Near-Optimal Representation Learning for Hierarchical Reinforcement Learning

Revisiting the "Video" in Video-Language Understanding

Structure-Grounded Pretraining for Text-to-SQL

Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization

VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection

Motus2: A Self-Evolving General World Model for Dexterous Manipulation

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

From Machine Learning to Machine Reasoning

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks

Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review

Causal Machine Learning for Healthcare and Precision Medicine

DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion

Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models