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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25,981 to 26,040 of 27,185

NVIDIA Nemotron 3: Efficient and Open Intelligence
NVIDIA, :, Aaron Blakeman +356
cs.CLcs.AIcs.LGarXiv:2512.20856v12025
terms.txt: A Consent and Compensation Protocol for Agentic Web Access
Rajarshi Chowdhury
cs.NIcs.AIcs.CRarXiv:2609.11152v12026
Responsible Autonomy
Virginia Dignum
cs.AIarXiv:1706.02513v12017
Grounding Agent Memory: Environment-Probing Curation for Enterprise Agents
Susheel Suresh, Hazel Mak, Sahil Bhatnagar +2
cs.AIcs.SEarXiv:2609.11060v12026
Decoupling Readiness from Release for Tail-Aware Scheduling of Agentic LLM Workflows
Bochao Feng, Jianjiang Li, Haojie Wang +4
cs.AIcs.SEarXiv:2609.10964v12026
Beyond Static Guarantees: Measuring the Static-Pass Dynamic-Fail Gap in Security-Sensitive and LLM-Generated Python Code
Jessica Pourleyli, Maitreyee Das Urmi, Glaucia Melo
cs.CRcs.AIcs.SEarXiv:2609.10762v12026
Towards a Deterministic Math Solver for Clinical Language Models
Felipe Ocampo Osorio, Sebastián Andrés Cajas Ordoñez, Maximin Lange +5
cs.AIcs.SEarXiv:2609.10728v12026
RAG-Anything: All-in-One RAG Framework
Zirui Guo, Xubin Ren, Lingrui Xu +2
cs.AIarXiv:2510.12323v12025
See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation
Chih Yao Hu, Yang-Sen Lin, Yuna Lee +7
cs.ROcs.AIcs.CLarXiv:2509.22653v12025
ActSafeGuard: Differentiable and Training-Aligned Constraint Enforcement for Flow-Matching Policies
Jianming Ma, Rongjun Jin, Xiaxi Si +3
cs.ROcs.AIarXiv:2609.11697v12026
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
Huy Nguyen, Deokjai Choi
cs.NIcs.AIarXiv:1007.1268v12010
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
cs.NEcs.AIarXiv:1703.10371v32017
Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government
Danny EBanks, Devika Jain
cs.AIarXiv:2609.11674v12026
Autonomy, Social Norms, and Alignment: Towards a Developmental Framework for Autonomous Artificial Agents
Marica Notte, Ludovica Marinucci, Vieri Giuliano Santucci
cs.AIarXiv:2609.11660v12026
Lightweight LiDAR-Based Cone Detection Framework Using Random Forest for Formula Student Driverless
Márk Mező-Kerekes, Péter Praksz, Chang Liu
cs.AIarXiv:2609.11527v12026
Flexible and Interpretable Accent Distance Measurements
Charles McGhee, Mark J. F. Gales, Kate M. Knill
cs.AIarXiv:2609.11458v12026
A deep learning framework for quality assessment and restoration in video endoscopy
Sharib Ali, Felix Zhou, Adam Bailey +4
cs.CVcs.AIarXiv:1904.07073v12019
Discovering Reinforcement Learning Algorithms
Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki +4
cs.LGcs.AIarXiv:2007.08794v32020
Generating a Consistent Enterprise: Synthesis and Reference-Free Evaluation of Multi-System Business Data
Benjamin Gruenbaum, Doron Porat, Assaf Natanzon +4
cs.AIarXiv:2609.11286v12026
MedSAM3: Delving into Segment Anything with Medical Concepts
Anglin Liu, Rundong Xue, Xu R. Cao +5
cs.CVcs.AIarXiv:2511.19046v12025
MOSAIC: Query-Aware Exploration Policy Adaptation for GraphRAG
EunKyeong Lee, Kyeong-Jin Oh, Jinwon Kim +4
cs.AIarXiv:2609.11065v12026
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger, Johnson Hsieh, Avesh Singh +8
cs.LGcs.AIstat.MLarXiv:1802.02511v12018
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino, Franca Delmastro
cs.LGcs.AIarXiv:2209.06528v12022
Beyond Benchmarks: Using VLMs to Reveal Systematic Classification Failures Under Real World Conditions
Dieuwertje Alblas, Alma M. Liezenga, Jan Erik van Woerden +3
cs.CVcs.AIcs.ETarXiv:2609.11126v12026
TiDAR: Think in Diffusion, Talk in Autoregression
Jingyu Liu, Xin Dong, Zhifan Ye +6
cs.CLcs.AIarXiv:2511.08923v12025
Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling
Meimingwei Li, Stefan Andreas Baumann, Felix Krause +1
cs.CVcs.AIcs.LGarXiv:2609.11804v12026
ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding
Luca Della Libera, Cem Subakan, Mirco Ravanelli
cs.SDcs.AIcs.LGarXiv:2609.11642v12026
General Agentic Memory Via Deep Research
B. Y. Yan, Chaofan Li, Hongjin Qian +2
cs.CLcs.AIcs.IRarXiv:2511.18423v12025
Improving Faint Object Detection for Space Situational Awareness with Variational Autoencoders
Angela Cratere, Luca Ghilardi, Vishnu Reddy +3
cs.CVcs.AIcs.LGarXiv:2609.11269v12026
Bayesian GAN
Yunus Saatchi, Andrew Gordon Wilson
stat.MLcs.AIcs.CVarXiv:1705.09558v32017
A Multi-Stage Rule-Chaining Framework for Compositional and Interpretable Cognitive Reasoning
Deblina Kar
cs.AIcs.LGarXiv:2609.10654v12026
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
Liyi Chen, Panrong Tong, Zhongming Jin +3
cs.AIarXiv:2410.23875v12024
Increasing Generality in Machine Learning through Procedural Content Generation
Sebastian Risi, Julian Togelius
cs.AIarXiv:1911.13071v22019
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans +1
cs.ROcs.AIcs.CVarXiv:2203.13251v12022
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu +2
cs.LGcs.AIstat.MLarXiv:2008.02663v12020
Rethinking Interpretability in the Era of Large Language Models
Chandan Singh, Jeevana Priya Inala, Michel Galley +2
cs.CLcs.AIcs.LGarXiv:2402.01761v12024
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes
Dongjie Cheng, Ziyuan Qin, Zekun Jiang +3
cs.CVcs.AIarXiv:2305.00035v12023
Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior
Tathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan +2
cs.AIarXiv:1811.09722v12018
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Ziyan Jiang, Xueguang Ma, Wenhu Chen
cs.CLcs.AIarXiv:2406.15319v32024
Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification
Manisha Kandel
cs.LGcs.AIarXiv:2609.10752v12026
Neural Language Correction with Character-Based Attention
Ziang Xie, Anand Avati, Naveen Arivazhagan +2
cs.CLcs.AIarXiv:1603.09727v12016
ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective
Alejo Jose G. Sison, Marco Tulio Daza, Roberto Gozalo-Brizuela +1
cs.CYcs.AIarXiv:2304.11215v12023
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
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
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
Recognizing Is Not Reversing: A Controlled Inversion Test of Fact-Preserving News Framing
Yi Liu
cs.CLcs.AIarXiv:2609.11769v12026
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
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
An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software
Rick Salay, Rodrigo Queiroz, Krzysztof Czarnecki
cs.AIcs.LGcs.SEarXiv:1709.02435v12017
On the Impact of Anonymization on the Performance of Large Language Models
Tobias Deußer, Max Hahnbück, Lorenz Sparrenberg +3
cs.CLcs.AIarXiv:2609.11335v12026
A Fragility Spectrum for Recursive Language-Model Training
Yangze Liu, Zhongyi Han
cs.CLcs.AIcs.LGarXiv:2609.11149v12026
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim +5
cs.CLcs.AIcs.LGarXiv:2205.12685v22022
Radiomics in Medical Imaging: Methods, Applications, and Challenges
Fnu Neha, Deepak kumar Shukla
eess.IVcs.AIcs.LGarXiv:2602.00102v12026
On the Creativity of Large Language Models
Giorgio Franceschelli, Mirco Musolesi
cs.AIcs.CLcs.CYarXiv:2304.00008v52023
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo +13
cs.AIcs.CLarXiv:2308.06374v12023
A Review of Deep Transfer Learning and Recent Advancements
Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia
cs.LGcs.AIcs.CVarXiv:2201.09679v22022
X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs
Di Cao, Dongjie Fu, Hai Yu +3
eess.AScs.AIcs.CLarXiv:2603.24596v32026
A Multi-Objective Deep Reinforcement Learning Framework
Thanh Thi Nguyen, Ngoc Duy Nguyen, Peter Vamplew +3
cs.LGcs.AIstat.MLarXiv:1803.02965v32018

Artificial Intelligence

NVIDIA Nemotron 3: Efficient and Open Intelligence

terms.txt: A Consent and Compensation Protocol for Agentic Web Access

Responsible Autonomy

Grounding Agent Memory: Environment-Probing Curation for Enterprise Agents

Decoupling Readiness from Release for Tail-Aware Scheduling of Agentic LLM Workflows

Beyond Static Guarantees: Measuring the Static-Pass Dynamic-Fail Gap in Security-Sensitive and LLM-Generated Python Code

Towards a Deterministic Math Solver for Clinical Language Models

RAG-Anything: All-in-One RAG Framework

See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation

ActSafeGuard: Differentiable and Training-Aligned Constraint Enforcement for Flow-Matching Policies

Application of Data Mining to Network Intrusion Detection: Classifier Selection Model

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks

Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government

Autonomy, Social Norms, and Alignment: Towards a Developmental Framework for Autonomous Artificial Agents

Lightweight LiDAR-Based Cone Detection Framework Using Random Forest for Formula Student Driverless

Flexible and Interpretable Accent Distance Measurements

A deep learning framework for quality assessment and restoration in video endoscopy

Discovering Reinforcement Learning Algorithms

Generating a Consistent Enterprise: Synthesis and Reference-Free Evaluation of Multi-System Business Data

MedSAM3: Delving into Segment Anything with Medical Concepts

MOSAIC: Query-Aware Exploration Policy Adaptation for GraphRAG

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

Explainable AI for clinical and remote health applications: a survey on tabular and time series data

Beyond Benchmarks: Using VLMs to Reveal Systematic Classification Failures Under Real World Conditions

TiDAR: Think in Diffusion, Talk in Autoregression

Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling

ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding

General Agentic Memory Via Deep Research

Improving Faint Object Detection for Space Situational Awareness with Variational Autoencoders

Bayesian GAN

A Multi-Stage Rule-Chaining Framework for Compositional and Interpretable Cognitive Reasoning

Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs

Increasing Generality in Machine Learning through Procedural Content Generation

Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation

Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation

Rethinking Interpretability in the Era of Large Language Models

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification

Neural Language Correction with Character-Based Attention

ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective

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

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

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

Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization

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

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

Global Encoding for Abstractive Summarization

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

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

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

A Fragility Spectrum for Recursive Language-Model Training

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Radiomics in Medical Imaging: Methods, Applications, and Challenges

On the Creativity of Large Language Models

Large Language Models and Knowledge Graphs: Opportunities and Challenges

A Review of Deep Transfer Learning and Recent Advancements

X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs

A Multi-Objective Deep Reinforcement Learning Framework