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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7,741 to 7,800 of 15,222

A Machine-Learning Approach for Earthquake Magnitude Estimation
S. Mostafa Mousavi, Gregory C. Beroza
physics.geo-phcs.AIcs.LGarXiv:1911.05975v12019
Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training
Lukas Borggren, Jenny Kunz, Marco Kuhlmann
cs.CLcs.AIcs.LGarXiv:2608.30609v12026
Scaling Robot Learning with Semantically Imagined Experience
Tianhe Yu, Ted Xiao, Austin Stone +10
cs.ROcs.AIcs.CLarXiv:2302.11550v12023
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
Usman Anwar, Abulhair Saparov, Javier Rando +39
cs.LGcs.AIcs.CLarXiv:2404.09932v22024
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding, Yujia Qin, Guang Yang +17
cs.CLcs.AIcs.LGarXiv:2203.06904v22022
Continual Pre-training of Language Models
Zixuan Ke, Yijia Shao, Haowei Lin +3
cs.CLcs.AIcs.LGarXiv:2302.03241v42023
Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign Text
Minkyung Cho, Jihyo Kim, SeungWoo Song +4
cs.CLcs.AIarXiv:2608.30619v12026
EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants
Yue Peng, Lanke Xia, Zihan Wang +3
cs.AIcs.SEarXiv:2608.29387v12026
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
Simon S. Du, Jason D. Lee, Yuandong Tian +2
cs.LGcs.AIcs.CVarXiv:1712.00779v22017
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Wei Wei, Chao Huang, Lianghao Xia +3
cs.IRcs.AIcs.LGarXiv:2202.08523v12022
The Signal in the Noise: An Auditable Reliability Layer for Biomedical Text Classification
Moustafa Yehia Hassan, Sharon Wong, Woh Kai Xuan
cs.AIcs.CLcs.LGarXiv:2608.28595v12026
ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation
Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti +11
cs.CLcs.AIarXiv:2608.30475v12026
Closed-form Continuous-time Neural Models
Ramin Hasani, Mathias Lechner, Alexander Amini +5
cs.LGcs.AIcs.NEarXiv:2106.13898v22021
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Can Qin, Shu Zhang, Ning Yu +10
cs.CVcs.AIarXiv:2305.11147v32023
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
Ming Dai, Jianhong Hu, Jiedong Zhuang +1
cs.CVcs.AIarXiv:2201.09206v12022
Dynamic Important Example Mining for Reinforcement Finetuning
Haoru Tan, Sitong Wu, Yanfeng Chen +9
cs.AIarXiv:2608.29252v12026
Deep learning for biomedical photoacoustic imaging: A review
Janek Gröhl, Melanie Schellenberg, Kris Dreher +1
physics.med-phcs.AIarXiv:2011.02744v12020
Clustering as Approximation by Constrained Projectors: Theory and Guarantees
Angshul Majumdar
cs.AIcs.LGarXiv:2608.29102v12026
Enhancing Low-Resource Language Reasoning via High-Resource Language Feature Transfer
Minju Song, Hyeon Hwang, Junhyun Lee +1
cs.CLcs.AIarXiv:2608.30462v12026
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
Hongjian Zhou, Fenglin Liu, Boyang Gu +16
cs.CLcs.AIarXiv:2311.05112v72023
Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey
Tianxu Li, Kun Zhu, Nguyen Cong Luong +4
cs.AIcs.LGcs.MAarXiv:2110.13484v32021
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng +7
cs.LGcs.AIcs.CLarXiv:2404.00282v32024
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges
Gabrielle Ras, Marcel van Gerven, Pim Haselager
cs.AIcs.LGstat.MLarXiv:1803.07517v22018
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen +4
cs.LGcs.AIcs.CLarXiv:2310.06117v22023
Leakage and the Reproducibility Crisis in ML-based Science
Sayash Kapoor, Arvind Narayanan
cs.LGcs.AIstat.MEarXiv:2207.07048v12022
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Roberto Henschel, Levon Khachatryan, Hayk Poghosyan +5
cs.CVcs.AIcs.CLarXiv:2403.14773v22024
SemPOI-RL: Aligning LLM Semantic Reasoning for Interpretable Out-of-Town POI Sequential Generation
Yunqi Liu, Yang Zhang, Ruixing Zhang +4
cs.CLcs.AIarXiv:2608.30399v12026
RuleMatrix: Visualizing and Understanding Classifiers with Rules
Yao Ming, Huamin Qu, Enrico Bertini
cs.LGcs.AIcs.HCarXiv:1807.06228v12018
Ontology-based Data Access: A Study through Disjunctive Datalog, CSP, and MMSNP
Meghyn Bienvenu, Balder ten Cate, Carsten Lutz +1
cs.DBcs.AIarXiv:1301.6479v22013
ASlib: A Benchmark Library for Algorithm Selection
Bernd Bischl, Pascal Kerschke, Lars Kotthoff +8
cs.AIcs.LGarXiv:1506.02465v32015
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication
Felix Sattler, Simon Wiedemann, Klaus-Robert Müller +1
cs.LGcs.AIcs.DCarXiv:1805.08768v12018
Feature Engineering for Predictive Modeling using Reinforcement Learning
Udayan Khurana, Horst Samulowitz, Deepak Turaga
cs.AIcs.LGstat.MLarXiv:1709.07150v12017
The Race between Agentic AI Capabilities and Data Quality Control in Online Surveys
Sourav Panda, Hillmer Chona, Rupak Kumar Das +3
cs.AIcs.CYarXiv:2608.28597v12026
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
Shenglai Zeng, Jiankun Zhang, Pengfei He +8
cs.CRcs.AIcs.CLarXiv:2402.16893v12024
Fully Distributed GNE Algorithms for Multi-Robot Placement without Consensus on Multipliers
Shao-An Yin, Mingyi Hong, Nicola Elia
cs.LGcs.AIcs.GTarXiv:2608.29388v12026
Using Grounded Theory for Agent Behavior Analysis at Scale
Zhuoran Lu, Yangyang Yu, Zhuoyan Li +5
cs.CLcs.AIarXiv:2608.30391v12026
ShowUI: One Vision-Language-Action Model for GUI Visual Agent
Kevin Qinghong Lin, Linjie Li, Difei Gao +6
cs.CVcs.AIcs.CLarXiv:2411.17465v12024
Beyond Token-Level Guidance: Inference-Time Alignment of Specialized LLMs via Cross-Family Representation Steering
Jin Gan, Xin Li, Jun Luo
cs.CLcs.AIcs.LGarXiv:2608.30319v12026
Integrating Triaxial IMU Sensors and Ensemble Learning for Effective Parkinson Disease Severity Classification
Rehan Khan, Muhammad Junaid Asif, Rana Fayyaz Ahmad
cs.AIcs.CVarXiv:2608.28602v12026
MedTVL: Harnessing Vision and Language for Medical Time Series Classification
Jiexia Ye, Jia Li, Fugee Tsung
cs.AIcs.CVarXiv:2608.28605v12026
Using Prosody to Predict Syntactic Structure
Junghyun Min, Alex Warstadt, Tamar I. Regev +2
cs.CLcs.AIcs.LGarXiv:2608.30260v12026
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira +1
eess.SPcs.AIcs.LGarXiv:2405.08790v22024
Stratified Consistency Distillation for Natural Language Formalization
Zhichao Hou, Ferhat Erata, Joe Lilien +1
cs.CLcs.AIarXiv:2608.30258v12026
The Differential Reasoning Router: Operationalizing Cost-Aware LLM Annotation in E-commerce
Cheng Lyu, Jingyue Zhang, Vinny DeGenova +2
cs.CLcs.AIarXiv:2608.30224v12026
Query-Dependent Video Representation for Moment Retrieval and Highlight Detection
WonJun Moon, Sangeek Hyun, SangUk Park +2
cs.CVcs.AIarXiv:2303.13874v12023
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki +2
cs.CVcs.AIarXiv:2108.11510v12021
Review of Large Vision Models and Visual Prompt Engineering
Jiaqi Wang, Zhengliang Liu, Lin Zhao +18
cs.CVcs.AIarXiv:2307.00855v12023
Disentangled Representation Learning
Xin Wang, Hong Chen, Si'ao Tang +2
cs.LGcs.AIarXiv:2211.11695v42022
Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMs
Ramya Keerthy Thatikonda, Wray Buntine, Ehsan Shareghi
cs.CLcs.AIarXiv:2608.30256v12026
Wav-KAN: Wavelet Kolmogorov-Arnold Networks
Zavareh Bozorgasl, Hao Chen
cs.LGcs.AIeess.SParXiv:2405.12832v22024
Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning
Yingdong Hu, Fanqi Lin, Tong Zhang +2
cs.ROcs.AIcs.CLarXiv:2311.17842v22023
Label Semantic Expansion via Label Guided Neural Topic Modeling
Haojia Zheng, Yuyin Lu, Juntian Huang +4
cs.CLcs.AIarXiv:2608.30216v12026
Benchmarking large language models for biomedical natural language processing applications and recommendations
Qingyu Chen, Yan Hu, Xueqing Peng +18
cs.CLcs.AIcs.IRarXiv:2305.16326v52023
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Bowen Wen, Jonathan Tremblay, Valts Blukis +6
cs.CVcs.AIcs.GRarXiv:2303.14158v12023
Simple And Efficient Architecture Search for Convolutional Neural Networks
Thomas Elsken, Jan-Hendrik Metzen, Frank Hutter
stat.MLcs.AIcs.LGarXiv:1711.04528v12017
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu, Yikun Xian, Ruoyuan Gao +8
cs.IRcs.AIcs.SIarXiv:2006.02046v22020
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
Guansong Pang, Longbing Cao, Ling Chen +1
cs.LGcs.AIcs.DBarXiv:1806.04808v12018
Fooling Neural Network Interpretations via Adversarial Model Manipulation
Juyeon Heo, Sunghwan Joo, Taesup Moon
cs.LGcs.AIcs.CVarXiv:1902.02041v32019
CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation
Kwangmin Ki, Yunhun Nam, Jongheon Jeong +1
cs.CLcs.AIarXiv:2608.30158v12026
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang, Huazhe Xu, Yi Wu +1
cs.LGcs.AIcs.ROarXiv:2003.13661v22020

Artificial Intelligence

A Machine-Learning Approach for Earthquake Magnitude Estimation

Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training

Scaling Robot Learning with Semantically Imagined Experience

Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

Continual Pre-training of Language Models

Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign Text

EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants

Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima

Contrastive Meta Learning with Behavior Multiplicity for Recommendation

The Signal in the Noise: An Auditable Reliability Layer for Biomedical Text Classification

ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation

Closed-form Continuous-time Neural Models

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization

Dynamic Important Example Mining for Reinforcement Finetuning

Deep learning for biomedical photoacoustic imaging: A review

Clustering as Approximation by Constrained Projectors: Theory and Guarantees

Enhancing Low-Resource Language Reasoning via High-Resource Language Feature Transfer

A Survey of Large Language Models in Medicine: Progress, Application, and Challenge

Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Leakage and the Reproducibility Crisis in ML-based Science

StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

SemPOI-RL: Aligning LLM Semantic Reasoning for Interpretable Out-of-Town POI Sequential Generation

RuleMatrix: Visualizing and Understanding Classifiers with Rules

Ontology-based Data Access: A Study through Disjunctive Datalog, CSP, and MMSNP

ASlib: A Benchmark Library for Algorithm Selection

Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication

Feature Engineering for Predictive Modeling using Reinforcement Learning

The Race between Agentic AI Capabilities and Data Quality Control in Online Surveys

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

Fully Distributed GNE Algorithms for Multi-Robot Placement without Consensus on Multipliers

Using Grounded Theory for Agent Behavior Analysis at Scale

ShowUI: One Vision-Language-Action Model for GUI Visual Agent

Beyond Token-Level Guidance: Inference-Time Alignment of Specialized LLMs via Cross-Family Representation Steering

Integrating Triaxial IMU Sensors and Ensemble Learning for Effective Parkinson Disease Severity Classification

MedTVL: Harnessing Vision and Language for Medical Time Series Classification

Using Prosody to Predict Syntactic Structure

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis

Stratified Consistency Distillation for Natural Language Formalization

The Differential Reasoning Router: Operationalizing Cost-Aware LLM Annotation in E-commerce

Query-Dependent Video Representation for Moment Retrieval and Highlight Detection

Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey

Review of Large Vision Models and Visual Prompt Engineering

Disentangled Representation Learning

Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMs

Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning

Label Semantic Expansion via Label Guided Neural Topic Modeling

Benchmarking large language models for biomedical natural language processing applications and recommendations

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

Simple And Efficient Architecture Search for Convolutional Neural Networks

Fairness-Aware Explainable Recommendation over Knowledge Graphs

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

Fooling Neural Network Interpretations via Adversarial Model Manipulation

CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation

Multi-Task Reinforcement Learning with Soft Modularization