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.

Search paper metadata (including unsummarized papers)

9,721 to 9,780 of 15,247

Decay-Region Group Delay as a Forensic Cue for AI-Generated Impulsive Sounds
JaeHyeong Chang, Chengzhe Sun, Siwei Lyu
cs.SDcs.AIarXiv:2608.26346v12026
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor +1
cs.AImath.OCarXiv:1506.02188v12015
Co-Evolving Structured Knowledge and Reasoning in Language Models
Ryan Thomas Noonan, Linxi Zhao, Menghan Xu +6
cs.CLcs.AIcs.LGarXiv:2608.26386v12026
Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball, Laura Smith, Ilya Kostrikov +1
cs.LGcs.AIarXiv:2302.02948v42023
Training behavior of deep neural network in frequency domain
Zhi-Qin John Xu, Yaoyu Zhang, Yanyang Xiao
cs.LGcs.AIcs.ITarXiv:1807.01251v62018
Understanding and Robustifying Differentiable Architecture Search
Arber Zela, Thomas Elsken, Tonmoy Saikia +3
cs.LGcs.AIcs.CVarXiv:1909.09656v22019
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu, Abhishek Gupta, Pieter Abbeel +1
cs.LGcs.AIcs.CVarXiv:1707.03374v22017
BrailleBench: Investigating Multi-Criteria Braille Comprehension in Large Language Models
Jinghan Zhang, Fengran Mo, Zhiyu Chen +3
cs.AIcs.CLcs.HCarXiv:2608.27268v12026
LiveVVT: High-Fidelity Video Virtual Try-On in Real Time
Yushe Cao, Shikun Feng, Ruxiang Duan +4
cs.CVcs.AIarXiv:2608.26714v12026
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee, Laura Smith, Pieter Abbeel
cs.LGcs.AIarXiv:2106.05091v12021
Multimodal Large Language Models: A Survey
Jiayang Wu, Wensheng Gan, Zefeng Chen +2
cs.AIarXiv:2311.13165v12023
KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representations
Chenchen Ge, Hanwen Shen, Bowen Jing +6
cs.CVcs.AIarXiv:2608.27365v12026
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
Shubo Tian, Qiao Jin, Lana Yeganova +11
cs.CYcs.AIcs.CLarXiv:2306.10070v22023
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Zhiyuan Xu, Jian Tang, Jingsong Meng +4
cs.NIcs.AIcs.LGarXiv:1801.05757v12018
ConceptFusion: Open-set Multimodal 3D Mapping
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu +14
cs.CVcs.AIcs.ROarXiv:2302.07241v32023
A Survey of Deep Meta-Learning
Mike Huisman, Jan N. van Rijn, Aske Plaat
cs.LGcs.AIstat.MLarXiv:2010.03522v22020
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An, Seungyong Moon, Jang-Hyun Kim +1
cs.LGcs.AIarXiv:2110.01548v22021
DeepCache: Accelerating Diffusion Models for Free
Xinyin Ma, Gongfan Fang, Xinchao Wang
cs.CVcs.AIarXiv:2312.00858v22023
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen +5
cs.ROcs.AIcs.CVarXiv:2310.17596v12023
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
cs.IRcs.AIcs.LGarXiv:1705.08804v22017
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Penghao Wu, Xiaosong Jia, Li Chen +3
cs.CVcs.AIcs.ROarXiv:2206.08129v22022
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo +3
cs.CLcs.AIcs.LGarXiv:2309.03883v22023
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Wei Liu, Weihao Zeng, Keqing He +2
cs.CLcs.AIcs.LGarXiv:2312.15685v22023
Programmatically Interpretable Reinforcement Learning
Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh +2
cs.LGcs.AIcs.PLarXiv:1804.02477v32018
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin, Xinyi Dai, Yunjia Xi +11
cs.IRcs.AIarXiv:2306.05817v62023
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks, Can Rager, Eric J. Michaud +3
cs.LGcs.AIcs.CLarXiv:2403.19647v32024
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Nan Jiang, Thibaud Lutellier, Lin Tan
cs.SEcs.AIcs.LGarXiv:2103.00073v42021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Yuxin Fang, Bencheng Liao, Xinggang Wang +5
cs.CVcs.AIcs.LGarXiv:2106.00666v32021
PointLLM: Empowering Large Language Models to Understand Point Clouds
Runsen Xu, Xiaolong Wang, Tai Wang +3
cs.CVcs.AIcs.CLarXiv:2308.16911v32023
From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench
Dewu Zheng, Yanlin Wang, Xiwen Wang +5
cs.SEcs.AIcs.CLarXiv:2608.27442v12026
Who's Harry Potter? Approximate Unlearning in LLMs
Ronen Eldan, Mark Russinovich
cs.CLcs.AIarXiv:2310.02238v22023
How Language Models Organize and Structure Moral Knowledge
Orion Reblitz-Richardson
cs.CLcs.AIcs.LGarXiv:2608.27402v12026
RCMN: Understanding Misleadingness in Influential Public Discourse
Peiling Yi
cs.CLcs.AIarXiv:2608.27358v12026
Do LLMs Understand Personality? Rethinking Persona Fidelity Evaluation through Structured Behavioral Inference
Mengfan Li, Zesheng Wei, Xuanhua Shi +1
cs.CLcs.AIarXiv:2608.26674v12026
Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study
Kevin Zhu, Ryan Zhang, Baraa Abed +18
cs.AIcs.LGarXiv:2608.27421v12026
SymbolLKG: Towards Verifiable Logical Reasoning via Logical Knowledge Graph and Symbolic Solvers
Haizhao Fan, Yuchi Xiong, Jize Wang +2
cs.AIcs.CLarXiv:2608.26836v12026
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas, Wenjie Luo, Raquel Urtasun
cs.ROcs.AIcs.CVarXiv:2101.07907v12021
Delving into Deep Imbalanced Regression
Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen +2
cs.LGcs.AIcs.CVarXiv:2102.09554v22021
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
Dongping Chen, Ruoxi Chen, Shilin Zhang +7
cs.CLcs.AIcs.CVarXiv:2402.04788v32024
BPMN4CAI: A BPMN Extension for Modeling Dynamic Conversational AI
Björn-Lennart Eger, Daniel Rose, Barbara Dinter
cs.AIarXiv:2608.27149v12026
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou, Dokook Choe, Noah Constant +2
cs.CLcs.AIcs.LGarXiv:1808.04444v22018
When Tool Outputs Become Commands: Separating Action Induction from Runtime Authorization in Tool-Augmented LLM Agents
Xiaokun Guo, Zhen Xu, Dongdong Huo +5
cs.AIcs.SEarXiv:2608.27146v12026
GraphMemix: Query-Aware Evidence Forests for Long-Term Multimodal Agent Memory
Geng Li, Yuhao Wang, Dong Li +2
cs.AIarXiv:2608.26983v12026
Generative Artificial Intelligence: A Systematic Review and Applications
Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar +1
cs.LGcs.AIcs.CLarXiv:2405.11029v12024
Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines
Yueqiao Jin, Lixiang Yan, Vanessa Echeverria +2
cs.CYcs.AIcs.HCarXiv:2405.11800v12024
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification
Wei Li, Xiatian Zhu, Shaogang Gong
cs.CVcs.AIarXiv:1705.04724v22017
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving
Meixin Zhu, Yinhai Wang, Ziyuan Pu +3
cs.LGcs.AIcs.ROarXiv:1902.00089v22019
SLiC-HF: Sequence Likelihood Calibration with Human Feedback
Yao Zhao, Rishabh Joshi, Tianqi Liu +3
cs.CLcs.AIarXiv:2305.10425v12023
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan +2
cs.NIcs.AIcs.CRarXiv:2103.16329v82021
CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
Qixiu Li, Yaobo Liang, Zeyu Wang +15
cs.ROcs.AIcs.CLarXiv:2411.19650v12024
Effective Data Augmentation With Diffusion Models
Brandon Trabucco, Kyle Doherty, Max Gurinas +1
cs.CVcs.AIarXiv:2302.07944v32023
Information-Theoretic Considerations in Batch Reinforcement Learning
Jinglin Chen, Nan Jiang
cs.LGcs.AIstat.MLarXiv:1905.00360v12019
J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data
Gyouk Chu, Myeongho Jeon, Eunho Yang
cs.LGcs.AIcs.CLarXiv:2608.26582v12026
Capabilities of Gemini Models in Medicine
Khaled Saab, Tao Tu, Wei-Hung Weng +64
cs.AIcs.CLcs.CVarXiv:2404.18416v22024
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
cs.CVcs.AIcs.LGarXiv:2205.09853v42022
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Chen Liang, Jonathan Berant, Quoc Le +2
cs.CLcs.AIcs.LGarXiv:1611.00020v42016
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen +4
cs.AIcs.MAarXiv:2109.11251v22021
Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal, Tim Miller, Liz Sonenberg +1
cs.LGcs.AIcs.HCarXiv:1905.10958v22019
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
Islem Bouzenia, Premkumar Devanbu, Michael Pradel
cs.SEcs.AIarXiv:2403.17134v22024
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
Weixi Feng, Wanrong Zhu, Tsu-jui Fu +6
cs.CVcs.AIarXiv:2305.15393v22023
Summaries:한국어

Artificial Intelligence

Decay-Region Group Delay as a Forensic Cue for AI-Generated Impulsive Sounds

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach

Co-Evolving Structured Knowledge and Reasoning in Language Models

Efficient Online Reinforcement Learning with Offline Data

Training behavior of deep neural network in frequency domain

Understanding and Robustifying Differentiable Architecture Search

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

BrailleBench: Investigating Multi-Criteria Braille Comprehension in Large Language Models

LiveVVT: High-Fidelity Video Virtual Try-On in Real Time

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

Multimodal Large Language Models: A Survey

KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representations

Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

Experience-driven Networking: A Deep Reinforcement Learning based Approach

ConceptFusion: Open-set Multimodal 3D Mapping

A Survey of Deep Meta-Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

DeepCache: Accelerating Diffusion Models for Free

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Beyond Parity: Fairness Objectives for Collaborative Filtering

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Programmatically Interpretable Reinforcement Learning

How Can Recommender Systems Benefit from Large Language Models: A Survey

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

PointLLM: Empowering Large Language Models to Understand Point Clouds

From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench

Who's Harry Potter? Approximate Unlearning in LLMs

How Language Models Organize and Structure Moral Knowledge

RCMN: Understanding Misleadingness in Influential Public Discourse

Do LLMs Understand Personality? Rethinking Persona Fidelity Evaluation through Structured Behavioral Inference

Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study

SymbolLKG: Towards Verifiable Logical Reasoning via Logical Knowledge Graph and Symbolic Solvers

IntentNet: Learning to Predict Intention from Raw Sensor Data

Delving into Deep Imbalanced Regression

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

BPMN4CAI: A BPMN Extension for Modeling Dynamic Conversational AI

Character-Level Language Modeling with Deeper Self-Attention

When Tool Outputs Become Commands: Separating Action Induction from Runtime Authorization in Tool-Augmented LLM Agents

GraphMemix: Query-Aware Evidence Forests for Long-Term Multimodal Agent Memory

Generative Artificial Intelligence: A Systematic Review and Applications

Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines

Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving

SLiC-HF: Sequence Likelihood Calibration with Human Feedback

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT

CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Effective Data Augmentation With Diffusion Models

Information-Theoretic Considerations in Batch Reinforcement Learning

J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data

Capabilities of Gemini Models in Medicine

MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Explainable Reinforcement Learning Through a Causal Lens

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models