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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17,041 to 17,100 of 28,065

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning
Fang Liu, Ge Li, Bolin Wei +3
cs.SEcs.AIarXiv:1909.06983v32019
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng +5
cs.CLcs.AIcs.CVarXiv:2304.09842v32023
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction
Yingheng Wang, Yaosen Min, Xin Chen +1
cs.LGcs.AIarXiv:2010.11711v32020
CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing
Zarif Ikram, Arad Firouzkouhi, Stephen Tu +2
cs.LGcs.AIarXiv:2602.15823v22026
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
Shakir Mohamed, Marie-Therese Png, William Isaac
cs.CYcs.AIcs.LGarXiv:2007.04068v12020
Rethinking pooling in graph neural networks
Diego Mesquita, Amauri H. Souza, Samuel Kaski
cs.LGcs.AIcs.CVarXiv:2010.11418v12020
Neural networks for spectral optimization
Alexis de Villeroché, Beniamin Bogosel, Stéphane Breuils +2
cs.LGcs.AImath.OCarXiv:2609.36047v12026
ARQ: Agentic CodeQL Query Refinement for C/C++ Vulnerability Detection
Chunyi Wang, Yunfei Ke, Junfeng Yang +2
cs.CRcs.AIarXiv:2608.20637v12026
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
Hritik Bansal, Yonatan Bitton, Michal Yarom +3
cs.CVcs.AIcs.LGarXiv:2405.04682v42024
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor +1
cs.CLcs.AIarXiv:2010.11334v32020
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
Zhihao Cao, Zidong Wang, Siwen Xie +2
cs.ROcs.AIcs.CVarXiv:2404.09001v12024
Spanning the Visual Analogy Space with a Weight Basis of LoRAs
Hila Manor, Rinon Gal, Haggai Maron +2
cs.CVcs.AIcs.GRarXiv:2602.15727v22026
Funnel Libraries for Real-Time Robust Feedback Motion Planning
Anirudha Majumdar, Russ Tedrake
cs.ROcs.AIeess.SYarXiv:1601.04037v32016
Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models
Stephen Brade, Bryan Wang, Mauricio Sousa +2
cs.HCcs.AIcs.MMarXiv:2304.09337v12023
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
Tairan He, Zhengyi Luo, Wenli Xiao +4
cs.ROcs.AIcs.LGarXiv:2403.04436v12024
Truncated Proximal Policy Optimization
Tiantian Fan, Lingjun Liu, Yu Yue +20
cs.AIarXiv:2506.15050v12025
Recurrent Autoregressive Networks for Online Multi-Object Tracking
Kuan Fang, Yu Xiang, Xiaocheng Li +1
cs.CVcs.AIcs.LGarXiv:1711.02741v22017
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
Frederic Gmeiner, Humphrey Yang, Lining Yao +2
cs.HCcs.AIarXiv:2303.00192v12023
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin +3
cs.LGcs.AIstat.MLarXiv:1911.02140v32019
RAPID: Robot Agentic Programming from Demonstrations
Yuyao Liu, Jiayuan Mao, David Hsu +2
cs.ROcs.AIcs.CVarXiv:2609.30249v12026
Graph Summarization Methods and Applications: A Survey
Yike Liu, Tara Safavi, Abhilash Dighe +1
cs.IRcs.AIcs.DBarXiv:1612.04883v32016
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
Pan Zhou, Jiashi Feng, Chao Ma +3
cs.LGcs.AImath.OCarXiv:2010.05627v22020
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Yuta Koreeda, Christopher D. Manning
cs.CLcs.AIcs.LGarXiv:2110.01799v12021
Contrastive Losses and Solution Caching for Predict-and-Optimize
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti +3
cs.LGcs.AIarXiv:2011.05354v22020
Fast Differentially Private Matrix Factorization
Ziqi Liu, Yu-Xiang Wang, Alexander J. Smola
cs.LGcs.AIarXiv:1505.01419v22015
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
Wei Fan, Pengyang Wang, Dongkun Wang +3
cs.LGcs.AIarXiv:2302.14829v32023
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si, Jingcheng Du, Zhao Li +5
cs.LGcs.AIarXiv:2010.02809v22020
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An, Seungyong Moon, Jang-Hyun Kim +1
cs.LGcs.AIarXiv:2110.01548v22021
Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
Hanlin Tian, Kethan Reddy, Yuxiang Feng +3
cs.ROcs.AIcs.LGarXiv:2404.08570v12024
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng +8
cs.AIcs.CLarXiv:2403.04132v12024
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro +4
cs.CLcs.AIcs.LGarXiv:1606.00776v22016
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Florian Fuchs, Yunlong Song, Elia Kaufmann +2
cs.AIcs.LGcs.ROarXiv:2008.07971v22020
Human-centric Spatio-Temporal Video Grounding With Visual Transformers
Zongheng Tang, Yue Liao, Si Liu +5
cs.CVcs.AIcs.MMarXiv:2011.05049v22020
Panini: Continual Learning in Token Space via Structured Memory
Shreyas Rajesh, Pavan Holur, Mehmet Yigit Turali +2
cs.AIarXiv:2602.15156v12026
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing
Ankan Dash, Junyi Ye, Guiling Wang
cs.LGcs.AIcs.CVarXiv:2110.01442v12021
$D^{2}R^{2}$: Discrete Diffusion with Regulation Reinforcement for Single-Cell Perturbation Prediction
Ninghan Fan, Qi Liu, Xunuo Zhu +9
cs.AIarXiv:2608.15288v12026
Automata from Agent Traces: Failure and Next-Step Prediction
Seonglae Cho, Franklin Cardenoso Fernandez, Umar Mohammed +4
cs.AIcs.CLcs.LGarXiv:2608.23670v12026
Adversarial Course-of-Action Generation: Game-Theoretic Multi-Agent Algorithms for COA matching & COA generation
Natan Vidra, Alina Kapanova, Arun Kanhai +1
cs.AIcs.MAarXiv:2609.26059v12026
Making Harmful Behaviors Unlearnable for Large Language Models
Xin Zhou, Yi Lu, Ruotian Ma +3
cs.LGcs.AIcs.CYarXiv:2311.02105v12023
Exploiting Novel GPT-4 APIs
Kellin Pelrine, Mohammad Taufeeque, Michał Zając +2
cs.CRcs.AIcs.CLarXiv:2312.14302v22023
Goal Driven Discovery of Distributional Differences via Language Descriptions
Ruiqi Zhong, Peter Zhang, Steve Li +3
cs.CLcs.AIcs.LGarXiv:2302.14233v22023
Embedding Uncertain Knowledge Graphs
Xuelu Chen, Muhao Chen, Weijia Shi +2
cs.AIcs.CLarXiv:1811.10667v22018
Trustworthy AI: From Principles to Practices
Bo Li, Peng Qi, Bo Liu +5
cs.AIcs.LGarXiv:2110.01167v22021
Variational Quantum Circuits for Deep Reinforcement Learning
Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi +3
cs.LGcs.AIquant-pharXiv:1907.00397v32019
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
Gerhard Weikum, Luna Dong, Simon Razniewski +1
cs.AIcs.DBarXiv:2009.11564v22020
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Runpeng Yu, Qi Li, Xinchao Wang
cs.LGcs.AIarXiv:2506.13759v52025
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum, Dimitris Tsipras, Chulin Xie +6
cs.LGcs.AIcs.CRarXiv:2012.10544v42020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin, Julien Perolat, Mathieu Laurière +3
math.OCcs.AIarXiv:2007.03458v22020
Neural Packet Classification
Eric Liang, Hang Zhu, Xin Jin +1
cs.NIcs.AIcs.LGarXiv:1902.10319v12019
Inseq: An Interpretability Toolkit for Sequence Generation Models
Gabriele Sarti, Nils Feldhus, Ludwig Sickert +3
cs.CLcs.AIcs.HCarXiv:2302.13942v32023
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri, Andrea Madotto, Janice Lan +5
cs.CLcs.AIcs.LGarXiv:1912.02164v42019
How do Data Science Workers Collaborate? Roles, Workflows, and Tools
Amy X. Zhang, Michael Muller, Dakuo Wang
cs.HCcs.AIcs.LGarXiv:2001.06684v32020
Translating finite-domain integer constraint models to CP/SMT/ILP/PB/SAT solvers with CPMpy
Tias Guns, Ignace Bleukx, Hendrik Bierlee +8
cs.AIarXiv:2608.15143v12026
BRIDGE -- Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
Dingning Liu, Haoyu Guo, Jingyi Zhou +1
cs.CVcs.AIarXiv:2509.25077v22025
AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs
Shreya Sajid, Anna Vettoruzzo, Joaquin Vanschoren
cs.SDcs.AIeess.ASarXiv:2610.13600v12026
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
Manolis Savva, Angel X. Chang, Alexey Dosovitskiy +2
cs.LGcs.AIcs.CVarXiv:1712.03931v12017
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain +1
cs.LGcs.AIstat.MLarXiv:2009.07888v72020
Mirror Descent Policy Optimization
Manan Tomar, Lior Shani, Yonathan Efroni +1
cs.LGcs.AIstat.MLarXiv:2005.09814v52020
Topological Necessities: Mechanism-Invariant Strategic Subgoals for Cross-Embodiment Goal-Conditioned Control
Hao Shi, Xi Li
cs.LGcs.AIcs.ROarXiv:2609.11014v12026
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Jihan Yang, Runyu Ding, Weipeng Deng +2
cs.CVcs.AIarXiv:2304.00962v42023

Artificial Intelligence

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction

CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Rethinking pooling in graph neural networks

Neural networks for spectral optimization

ARQ: Agentic CodeQL Query Refinement for C/C++ Vulnerability Detection

TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation

NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task

Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households

Spanning the Visual Analogy Space with a Weight Basis of LoRAs

Funnel Libraries for Real-Time Robust Feedback Motion Planning

Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

Truncated Proximal Policy Optimization

Recurrent Autoregressive Networks for Online Multi-Object Tracking

Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

RAPID: Robot Agentic Programming from Demonstrations

Graph Summarization Methods and Applications: A Survey

Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning

ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

Contrastive Losses and Solution Caching for Predict-and-Optimize

Fast Differentially Private Matrix Factorization

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

Human-centric Spatio-Temporal Video Grounding With Visual Transformers

Panini: Continual Learning in Token Space via Structured Memory

A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing

$D^{2}R^{2}$: Discrete Diffusion with Regulation Reinforcement for Single-Cell Perturbation Prediction

Automata from Agent Traces: Failure and Next-Step Prediction

Adversarial Course-of-Action Generation: Game-Theoretic Multi-Agent Algorithms for COA matching & COA generation

Making Harmful Behaviors Unlearnable for Large Language Models

Exploiting Novel GPT-4 APIs

Goal Driven Discovery of Distributional Differences via Language Descriptions

Embedding Uncertain Knowledge Graphs

Trustworthy AI: From Principles to Practices

Variational Quantum Circuits for Deep Reinforcement Learning

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases

Discrete Diffusion in Large Language and Multimodal Models: A Survey

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications

Neural Packet Classification

Inseq: An Interpretability Toolkit for Sequence Generation Models

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Translating finite-domain integer constraint models to CP/SMT/ILP/PB/SAT solvers with CPMpy

BRIDGE -- Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation

AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments

Transfer Learning in Deep Reinforcement Learning: A Survey

Mirror Descent Policy Optimization

Topological Necessities: Mechanism-Invariant Strategic Subgoals for Cross-Embodiment Goal-Conditioned Control

RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding