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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9,481 to 9,540 of 15,235

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
Cunchao Zhu, Muhao Chen, Changjun Fan +2
cs.AIcs.CLcs.LGarXiv:2012.08492v22020
Efficient Informative Sensing using Multiple Robots
Amarjeet Singh, Andreas Krause, Carlos Guestrin +1
cs.ROcs.AIarXiv:1401.3462v12014
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Leila Arras, Grégoire Montavon, Klaus-Robert Müller +1
cs.CLcs.AIcs.NEarXiv:1706.07206v22017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such +3
cs.AIarXiv:1712.06560v32017
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
Daniel Dauner, Marcel Hallgarten, Tianyu Li +9
cs.CVcs.AIcs.LGarXiv:2406.15349v22024
Can language models learn from explanations in context?
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan +6
cs.CLcs.AIcs.LGarXiv:2204.02329v42022
3D-VLA: A 3D Vision-Language-Action Generative World Model
Haoyu Zhen, Xiaowen Qiu, Peihao Chen +5
cs.CVcs.AIcs.CLarXiv:2403.09631v12024
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Renhe Jiang, Zhaonan Wang, Jiawei Yong +6
cs.LGcs.AIarXiv:2211.14701v42022
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn, Paul Christiano, Pieter Abbeel +1
cs.LGcs.AIarXiv:1611.03852v32016
pix2code: Generating Code from a Graphical User Interface Screenshot
Tony Beltramelli
cs.LGcs.AIcs.CLarXiv:1705.07962v22017
RAFT: Adapting Language Model to Domain Specific RAG
Tianjun Zhang, Shishir G. Patil, Naman Jain +4
cs.CLcs.AIarXiv:2403.10131v22024
What matters when building vision-language models?
Hugo Laurençon, Léo Tronchon, Matthieu Cord +1
cs.CVcs.AIarXiv:2405.02246v12024
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
cs.LGcs.AIcs.CVarXiv:2201.01003v12022
VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation
Naoki Yokoyama, Sehoon Ha, Dhruv Batra +2
cs.ROcs.AIarXiv:2312.03275v12023
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager, David Madras, Jörn-Henrik Jacobsen +4
cs.LGcs.AIstat.MLarXiv:1906.02589v12019
Attention-based Graph Neural Network for Semi-supervised Learning
Kiran K. Thekumparampil, Chong Wang, Sewoong Oh +1
stat.MLcs.AIcs.LGarXiv:1803.03735v12018
Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit
Shuyi Fan, Boyuan Deng, Mengyu Xu +3
cs.CLcs.AIcs.CYarXiv:2608.27309v12026
Few-shot Learning with Multilingual Language Models
Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe +18
cs.CLcs.AIarXiv:2112.10668v32021
Investigating Capsule Networks with Dynamic Routing for Text Classification
Wei Zhao, Jianbo Ye, Min Yang +3
cs.CLcs.AIarXiv:1804.00538v42018
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
Ruigang Fu, Qingyong Hu, Xiaohu Dong +3
cs.CVcs.AIcs.LGarXiv:2008.02312v42020
Neural Machine Translation for Low-Resource Languages: A Survey
Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skenduli +3
cs.CLcs.AIarXiv:2106.15115v12021
Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Models
Frederik Berenz
cs.CVcs.AIarXiv:2608.27367v12026
An approach to reachability analysis for feed-forward ReLU neural networks
Alessio Lomuscio, Lalit Maganti
cs.AIcs.LGcs.LOarXiv:1706.07351v12017
Beyond Execution: Auditing Experimental Fidelity in LLM-Driven Scientific Research
Lezhi Yu, Xiaogang Xu, Yuhua Zhou +2
cs.SEcs.AIarXiv:2608.26753v12026
FaultLens: Learning Compact Behavioral Test Suites for Generated Operational Programs
Zeming Liu, Hang Lyu, Jingtao Zhang
cs.SEcs.AIarXiv:2608.26746v12026
Naive Prompt Optimization: Rethinking the Need for Complex Prompt Search
Yuan Chang, Xiaoqi Chen
cs.AIcs.CLarXiv:2608.27266v12026
Discrimination in the Age of Algorithms
Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan +1
cs.CYcs.AIcs.LGarXiv:1902.03731v12019
Neural Topological SLAM for Visual Navigation
Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta +1
cs.CVcs.AIcs.LGarXiv:2005.12256v22020
GraphGPT: Graph Instruction Tuning for Large Language Models
Jiabin Tang, Yuhao Yang, Wei Wei +5
cs.CLcs.AIarXiv:2310.13023v32023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
Stephan Rasp, Stephan Hoyer, Alexander Merose +15
physics.ao-phcs.AIarXiv:2308.15560v22023
IONet: Learning to Cure the Curse of Drift in Inertial Odometry
Changhao Chen, Xiaoxuan Lu, Andrew Markham +1
cs.ROcs.AIcs.CVarXiv:1802.02209v12018
Cross-Lingual Ability of Multilingual BERT: An Empirical Study
Karthikeyan K, Zihan Wang, Stephen Mayhew +1
cs.CLcs.AIcs.LGarXiv:1912.07840v22019
Long-context LLMs Struggle with Long In-context Learning
Tianle Li, Ge Zhang, Quy Duc Do +2
cs.CLcs.AIarXiv:2404.02060v32024
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott +2
cs.CVcs.AIcs.LGarXiv:2003.00827v22020
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations
Andreas Holzinger, André Carrington, Heimo Müller
cs.AIarXiv:1912.09024v12019
Cross-Layer Distillation with Semantic Calibration
Defang Chen, Jian-Ping Mei, Yuan Zhang +3
cs.CVcs.AIcs.LGarXiv:2012.03236v22020
Language Understanding for Text-based Games Using Deep Reinforcement Learning
Karthik Narasimhan, Tejas Kulkarni, Regina Barzilay
cs.CLcs.AIarXiv:1506.08941v22015
Meta-Learning Representations for Continual Learning
Khurram Javed, Martha White
cs.LGcs.AIstat.MLarXiv:1905.12588v22019
A Contract-Centered Architecture for Scalable and Manageable Agentic Runtimes
Yaxiao Liu, Pengbo Liu, Yiwen Liu +3
cs.AIcs.MAcs.SEarXiv:2608.27086v12026
AI Alignment: A Comprehensive Survey
Jiaming Ji, Tianyi Qiu, Boyuan Chen +23
cs.AIarXiv:2310.19852v62023
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
Hongji Huang, Song Guo, Guan Gui +4
eess.SPcs.AIarXiv:1904.09673v12019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
cs.LGcs.AIarXiv:1908.08342v22019
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
Ryan Lowe, Michael Noseworthy, Iulian V. Serban +3
cs.CLcs.AIcs.LGarXiv:1708.07149v22017
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
Shizhe Chen, Yida Zhao, Qin Jin +1
cs.CVcs.AIarXiv:2003.00392v12020
DSA: Evidence-Aware LLM-Agent Orchestration for Multi-Market Stock Research
Linsen Zhu, Yi Shi
cs.AIcs.MAarXiv:2608.26990v12026
Large Language Models for Education: A Survey and Outlook
Shen Wang, Tianlong Xu, Hang Li +5
cs.CLcs.AIarXiv:2403.18105v22024
Investigating the Influence of Prompt and Response Languages on LLM Content Generation
Thi Thanh Nhan Nguyen, Mai Khoi Tieu, Michael A. Riegler +2
cs.CLcs.AIarXiv:2608.26186v12026
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Tianhe Yu, Chelsea Finn, Annie Xie +4
cs.LGcs.AIcs.CVarXiv:1802.01557v12018
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint
Wei Xiong, Hanze Dong, Chenlu Ye +5
cs.LGcs.AIstat.MLarXiv:2312.11456v42023
A systematic review and taxonomy of explanations in decision support and recommender systems
Ingrid Nunes, Dietmar Jannach
cs.AIcs.IRarXiv:2006.08672v12020
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Xiaohan Wang, Yuhui Zhang, Orr Zohar +1
cs.CVcs.AIcs.CLarXiv:2403.10517v12024
What Makes Multi-modal Learning Better than Single (Provably)
Yu Huang, Chenzhuang Du, Zihui Xue +3
cs.LGcs.AIarXiv:2106.04538v22021
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang, Jianan Wang, Ronald Clark +4
cs.CVcs.AIcs.LGarXiv:1906.01140v22019
Comparing Chunking and Embedding Strategies for Turkish RAG Systems
Mustafa Sertaç Türkel, Fatma Nur Korkmaz, Ahmet Tuğrul Bayrak
cs.CLcs.AIarXiv:2608.26192v12026
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg +9
cs.ROcs.AIcs.LGarXiv:1811.02790v12018
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, YuXuan Liu +2
cs.LGcs.AIcs.NEarXiv:1802.07245v12018
External Validity: From Do-Calculus to Transportability Across Populations
Judea Pearl, Elias Bareinboim
stat.MEcs.AIarXiv:1503.01603v12015
Simulation Approaches to General Probabilistic Inference on Belief Networks
Ross D. Shachter, Mark Alan Peot
cs.AIarXiv:1304.1526v12013
A Review of Graph Neural Networks and Their Applications in Power Systems
Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai +2
cs.LGcs.AIeess.SYarXiv:2101.10025v22021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Di Jin, Zhizhi Yu, Pengfei Jiao +5
cs.SIcs.AIcs.LGarXiv:2101.01669v32021

Artificial Intelligence

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

Efficient Informative Sensing using Multiple Robots

Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Can language models learn from explanations in context?

3D-VLA: A 3D Vision-Language-Action Generative World Model

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models

pix2code: Generating Code from a Graphical User Interface Screenshot

RAFT: Adapting Language Model to Domain Specific RAG

What matters when building vision-language models?

Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources

VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation

Flexibly Fair Representation Learning by Disentanglement

Attention-based Graph Neural Network for Semi-supervised Learning

Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit

Few-shot Learning with Multilingual Language Models

Investigating Capsule Networks with Dynamic Routing for Text Classification

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

Neural Machine Translation for Low-Resource Languages: A Survey

Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Models

An approach to reachability analysis for feed-forward ReLU neural networks

Beyond Execution: Auditing Experimental Fidelity in LLM-Driven Scientific Research

FaultLens: Learning Compact Behavioral Test Suites for Generated Operational Programs

Naive Prompt Optimization: Rethinking the Need for Complex Prompt Search

Discrimination in the Age of Algorithms

Neural Topological SLAM for Visual Navigation

GraphGPT: Graph Instruction Tuning for Large Language Models

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

IONet: Learning to Cure the Curse of Drift in Inertial Odometry

Cross-Lingual Ability of Multilingual BERT: An Empirical Study

Long-context LLMs Struggle with Long In-context Learning

CheXclusion: Fairness gaps in deep chest X-ray classifiers

Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations

Cross-Layer Distillation with Semantic Calibration

Language Understanding for Text-based Games Using Deep Reinforcement Learning

Meta-Learning Representations for Continual Learning

A Contract-Centered Architecture for Scalable and Manageable Agentic Runtimes

AI Alignment: A Comprehensive Survey

Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses

Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning

DSA: Evidence-Aware LLM-Agent Orchestration for Multi-Market Stock Research

Large Language Models for Education: A Survey and Outlook

Investigating the Influence of Prompt and Response Languages on LLM Content Generation

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint

A systematic review and taxonomy of explanations in decision support and recommender systems

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

What Makes Multi-modal Learning Better than Single (Provably)

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

Comparing Chunking and Embedding Strategies for Turkish RAG Systems

RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

Meta-Reinforcement Learning of Structured Exploration Strategies

External Validity: From Do-Calculus to Transportability Across Populations

Simulation Approaches to General Probabilistic Inference on Belief Networks

A Review of Graph Neural Networks and Their Applications in Power Systems

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning