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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1,141 to 1,200 of 15,209

New Evidence, Same Choice: Testing Physical Experiment Selection in Vision Language Models
Sourajit Saha, Shubhashis Roy Dipta, Nobin Sarwar +4
cs.CVcs.AIcs.CLarXiv:2609.11022v12026
Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment
Yingjun Ye, Xiaohui Zhang, Jian Sun
cs.AIarXiv:1804.06264v12018
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu, Xiangfei Qiu, Zhengyu Li +5
cs.LGcs.AIarXiv:2410.12261v52024
Studying Without a Syllabus: Task-Agnostic Environment Preprocessing
Vinay Samuel, Varun Ursekar, Vijay S. Kalmath +3
cs.AIcs.CLcs.LGarXiv:2609.10824v12026
The Truth Was Never Gone: Perfect Aliasing in Compliant-Context Truth Probes
Dylan Jayabahu
cs.LGcs.AIcs.CLarXiv:2609.10739v12026
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection
Zhiqiang Yang, Qiu Guan, Keer Zhao +4
cs.CVcs.AIarXiv:2407.04381v12024
Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences
Erdem Bıyık, Dylan P. Losey, Malayandi Palan +3
cs.ROcs.AIcs.LGarXiv:2006.14091v22020
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse
Moayad Aloqaily, Ouns Bouachir, Fakhri Karray +2
cs.HCcs.AIarXiv:2210.04606v12022
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
Tao Shen, Tianyi Zhou, Guodong Long +2
cs.CLcs.AIarXiv:1804.00857v12018
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
Minzheng Wang, Longze Chen, Cheng Fu +11
cs.CLcs.AIarXiv:2406.17419v22024
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
Juergen Schmidhuber
cs.AIcs.LGarXiv:1912.02875v22019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
cs.AIcs.LGcs.ROarXiv:1907.09620v32019
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh, Jiaming Song, Guilin Liu +2
cs.CVcs.AIcs.LGarXiv:2312.02139v32023
Beyond Word Error Rate: A Switch Aware Evaluation of ASR and Audio Language Models on English Yoruba Code-Switched Speech
Chibuzor Okocha, Christan Earl Grant
cs.CLcs.AIarXiv:2609.11786v12026
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
De-An Huang, Suraj Nair, Danfei Xu +5
cs.CVcs.AIcs.LGarXiv:1807.03480v22018
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Haoran Ye, Jiarui Wang, Zhiguang Cao +2
cs.NEcs.AIcs.LGarXiv:2309.14032v22023
Machine Unlearning: Solutions and Challenges
Jie Xu, Zihan Wu, Cong Wang +1
cs.LGcs.AIarXiv:2308.07061v32023
Domain-Specific Hallucination Detection in Large Language Models
Varun Teja Chundru, Debasmita Biswas
cs.CLcs.AIcs.LGarXiv:2609.11878v12026
End-to-End Saliency Mapping via Probability Distribution Prediction
Saumya Jetley, Naila Murray, Eleonora Vig
cs.CVcs.AIarXiv:1804.01793v12018
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay, Bo Zhao, Hailey Joren +1
cs.LGcs.AIstat.MLarXiv:2306.01984v22023
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Chaofan Lin, Zhenhua Han, Chengruidong Zhang +4
cs.LGcs.AIarXiv:2405.19888v12024
Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
Yunkang Cao, Xiaohao Xu, Zhaoge Liu +1
cs.CVcs.AIarXiv:2302.08769v12023
AnglE-optimized Text Embeddings
Xianming Li, Jing Li
cs.CLcs.AIcs.LGarXiv:2309.12871v92023
Vision language models are blind: Failing to translate detailed visual features into words
Pooyan Rahmanzadehgervi, Logan Bolton, Mohammad Reza Taesiri +1
cs.AIcs.CVarXiv:2407.06581v62024
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang +5
cs.IRcs.AIarXiv:2105.04785v12021
Recognizing Is Not Reversing: A Controlled Inversion Test of Fact-Preserving News Framing
Yi Liu
cs.CLcs.AIarXiv:2609.11769v12026
On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
Yongjie Wang, Chuan Wang, Ruobing Li +1
cs.CLcs.AIarXiv:2205.03835v22022
Automated Variational Inference in Probabilistic Programming
David Wingate, Theophane Weber
stat.MLcs.AIcs.LGarXiv:1301.1299v12013
LOCUS: Task-Aware Low-Rank Post-Training for Token-Efficient Language Generation
Dongfang Zhao
cs.CLcs.AIcs.LGarXiv:2609.11739v12026
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges +6
cs.AIcs.LGarXiv:1902.01378v22019
Global Encoding for Abstractive Summarization
Junyang Lin, Xu Sun, Shuming Ma +1
cs.CLcs.AIcs.LGarXiv:1805.03989v22018
Generative AI in the Construction Industry: Opportunities & Challenges
Prashnna Ghimire, Kyungki Kim, Manoj Acharya
cs.AIcs.LGarXiv:2310.04427v12023
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
Ranggi Hwang, Jianyu Wei, Shijie Cao +4
cs.LGcs.AIcs.ARarXiv:2308.12066v32023
Structural priors for data-efficient language learning
Yana Veitsman, Jonas Mayer Martins, Jonathan Lautenschlager +1
cs.CLcs.AIcs.LGarXiv:2609.11505v12026
An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software
Rick Salay, Rodrigo Queiroz, Krzysztof Czarnecki
cs.AIcs.LGcs.SEarXiv:1709.02435v12017
SWRouter: Similarity-Contractive Window Routing for Multi-Turn Large Language Model Conversations
Yu Wang, Yuchen Li, Rui Kong +11
cs.CLcs.AIcs.IRarXiv:2609.11414v12026
Context-aware Captions from Context-agnostic Supervision
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy +2
cs.CVcs.AIarXiv:1701.02870v32017
FasterViT: Fast Vision Transformers with Hierarchical Attention
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin +4
cs.CVcs.AIcs.LGarXiv:2306.06189v22023
E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets
Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi
cs.CLcs.AIcs.LGarXiv:2609.11334v12026
Block-Recurrent Transformers
DeLesley Hutchins, Imanol Schlag, Yuhuai Wu +2
cs.LGcs.AIcs.NEarXiv:2203.07852v32022
Backdoor Attack in the Physical World
Yiming Li, Tongqing Zhai, Yong Jiang +2
cs.CRcs.AIcs.CVarXiv:2104.02361v22021
Cross-Lingual Clinical Annotation Projection as Constrained Text Generation: A Six-Language Study
Álvaro Rey-Blanes, Francisco J. Moreno-Barea, Francisco J. Veredas
cs.CLcs.AIarXiv:2609.11450v12026
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
Yongdong Luo, Xiawu Zheng, Guilin Li +8
cs.CVcs.AIarXiv:2411.13093v42024
On the Impact of Anonymization on the Performance of Large Language Models
Tobias Deußer, Max Hahnbück, Lorenz Sparrenberg +3
cs.CLcs.AIarXiv:2609.11335v12026
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Haiming Wang, Huajian Xin, Chuanyang Zheng +11
cs.AIarXiv:2310.00656v32023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Shentong Mo, Enze Xie, Ruihang Chu +4
cs.CVcs.AIcs.LGarXiv:2307.01831v12023
Loss of Plasticity in Continual Deep Reinforcement Learning
Zaheer Abbas, Rosie Zhao, Joseph Modayil +2
cs.LGcs.AIarXiv:2303.07507v12023
A Fragility Spectrum for Recursive Language-Model Training
Yangze Liu, Zhongyi Han
cs.CLcs.AIcs.LGarXiv:2609.11149v12026
Decentralized Federated Learning: A Survey on Security and Privacy
Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif +2
cs.CRcs.AIcs.LGarXiv:2401.17319v12024
Penetrative AI: Making LLMs Comprehend the Physical World
Huatao Xu, Liying Han, Qirui Yang +2
cs.AIcs.LGarXiv:2310.09605v32023
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Sein Kim, Hongseok Kang, Seungyoon Choi +3
cs.IRcs.AIarXiv:2404.11343v22024
OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision
Cong Wei, Zheyang Xiong, Weiming Ren +3
cs.CVcs.AIarXiv:2411.07199v22024
Rule Based Rewards for Language Model Safety
Tong Mu, Alec Helyar, Johannes Heidecke +7
cs.AIarXiv:2411.01111v12024
Structured Graph Learning for Clustering and Semi-supervised Classification
Zhao Kang, Chong Peng, Qiang Cheng +4
cs.LGcs.AIcs.CVarXiv:2008.13429v12020
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Chaoli Zhang, Tian Zhou, Qingsong Wen +1
cs.LGcs.AIarXiv:2210.09693v22022
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Shohreh Deldari, Daniel V. Smith, Hao Xue +1
cs.LGcs.AIcs.CVarXiv:2011.14097v52020
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing
Vincenzo Riccio, Paolo Tonella
cs.SEcs.AIcs.LGarXiv:2007.02787v12020
A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior
Harry Mayne, Justin Singh Kang, Dewi Gould +3
cs.AIcs.LGarXiv:2602.02639v12026
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
Hwan Kim, Byung Suk Lee, Won-Yong Shin +1
cs.LGcs.AIcs.SIarXiv:2209.14930v22022
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors
Tung Phung, Victor-Alexandru Pădurean, José Cambronero +5
cs.CYcs.AIcs.CLarXiv:2306.17156v32023

Artificial Intelligence

New Evidence, Same Choice: Testing Physical Experiment Selection in Vision Language Models

Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment

CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching

Studying Without a Syllabus: Task-Agnostic Environment Preprocessing

The Truth Was Never Gone: Perfect Aliasing in Compliant-Context Truth Probes

Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection

Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences

Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions

Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning

DiffiT: Diffusion Vision Transformers for Image Generation

Beyond Word Error Rate: A Switch Aware Evaluation of ASR and Audio Language Models on English Yoruba Code-Switched Speech

Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration

DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

Machine Unlearning: Solutions and Challenges

Domain-Specific Hallucination Detection in Large Language Models

End-to-End Saliency Mapping via Probability Distribution Prediction

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization

AnglE-optimized Text Embeddings

Vision language models are blind: Failing to translate detailed visual features into words

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users

Recognizing Is Not Reversing: A Controlled Inversion Test of Fact-Preserving News Framing

On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation

Automated Variational Inference in Probabilistic Programming

LOCUS: Task-Aware Low-Rank Post-Training for Token-Efficient Language Generation

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

Global Encoding for Abstractive Summarization

Generative AI in the Construction Industry: Opportunities & Challenges

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference

Structural priors for data-efficient language learning

An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software

SWRouter: Similarity-Contractive Window Routing for Multi-Turn Large Language Model Conversations

Context-aware Captions from Context-agnostic Supervision

FasterViT: Fast Vision Transformers with Hierarchical Attention

E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets

Block-Recurrent Transformers

Backdoor Attack in the Physical World

Cross-Lingual Clinical Annotation Projection as Constrained Text Generation: A Six-Language Study

Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension

On the Impact of Anonymization on the Performance of Large Language Models

LEGO-Prover: Neural Theorem Proving with Growing Libraries

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

Loss of Plasticity in Continual Deep Reinforcement Learning

A Fragility Spectrum for Recursive Language-Model Training

Decentralized Federated Learning: A Survey on Security and Privacy

Penetrative AI: Making LLMs Comprehend the Physical World

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System

OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision

Rule Based Rewards for Language Model Safety

Structured Graph Learning for Clustering and Semi-supervised Classification

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing

A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior

Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges

Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors