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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17,101 to 17,160 of 27,984

ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
Xukun Liu, Zhiyuan Peng, Xiaoyuan Yi +4
cs.AIcs.CLarXiv:2403.00839v12024
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
Kuan Fang, Yunfei Bai, Stefan Hinterstoisser +2
cs.LGcs.AIcs.CVarXiv:1710.06422v22017
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Frederik Ebert, Chelsea Finn, Sudeep Dasari +3
cs.ROcs.AIcs.CVarXiv:1812.00568v12018
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy
Ben Shneiderman
cs.HCcs.AIarXiv:2002.04087v22020
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu, Sijia Liu, Pu Zhao +6
cs.LGcs.AIstat.MLarXiv:1808.01664v32018
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake, Oliver Eberle, Jonas Lederer +4
cs.LGcs.AIstat.MLarXiv:2006.03589v32020
Fairlearn: Assessing and Improving Fairness of AI Systems
Hilde Weerts, Miroslav Dudík, Richard Edgar +3
cs.LGcs.AIcs.CYarXiv:2303.16626v12023
Towards One-for-All Robustness Across a Continuum of Threat Levels
Zhichao Hou, Xiaorui Liu
cs.LGcs.AIarXiv:2609.02440v12026
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian +11
cs.LGcs.AIcs.CLarXiv:2410.09024v32024
AstronOS: A Unified Execution Model and Runtime for Long-Horizon Agentic Systems
Zhenhang Nie, Gui Zheng, Xudong Sun +2
cs.AIarXiv:2608.16381v12026
Context-DPO: Aligning Language Models for Context-Faithfulness
Baolong Bi, Shaohan Huang, Yiwei Wang +11
cs.CLcs.AIcs.IRarXiv:2412.15280v12024
EvoPrompting: Language Models for Code-Level Neural Architecture Search
Angelica Chen, David M. Dohan, David R. So
cs.NEcs.AIcs.CLarXiv:2302.14838v32023
Minimax Regret Bounds for Reinforcement Learning
Mohammad Gheshlaghi Azar, Ian Osband, Rémi Munos
stat.MLcs.AIcs.LGarXiv:1703.05449v22017
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer
Xinyang Gu, Yen-Jen Wang, Jianyu Chen
cs.ROcs.AIcs.LGarXiv:2404.05695v22024
Revisiting the Platonic Representation Hypothesis: An Aristotelian View
Fabian Gröger, Shuo Wen, Maria Brbić
cs.LGcs.AIcs.CVarXiv:2602.14486v22026
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang +2
cs.LGcs.AIarXiv:2109.12482v12021
Automating the Design of Embodied Agent Architectures
Jian Zhou, Sihao Lin, Jin Li +3
cs.ROcs.AIcs.LGarXiv:2606.30111v22026
Escaping Redundant Reasoning: Structure-Aware Search for Inference-Time LLMs
Lu Cheng
cs.AIarXiv:2609.00738v12026
The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
Chenglei Si, Tatsunori Hashimoto, Diyi Yang
cs.CLcs.AIcs.CYarXiv:2506.20803v12025
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander C. Li, Mihir Prabhudesai, Shivam Duggal +2
cs.LGcs.AIcs.CVarXiv:2303.16203v32023
Learning-Assisted Automated Reasoning with Flyspeck
Cezary Kaliszyk, Josef Urban
cs.AIcs.DLcs.LGarXiv:1211.7012v32012
Context-Aware Generative Adversarial Privacy
Chong Huang, Peter Kairouz, Xiao Chen +2
cs.LGcs.AIcs.CRarXiv:1710.09549v32017
How corner is a corner case? Percentile control for highway scenario generation
Jiaxi Liu, Hang Zhou, Hangyu Li +5
cs.AIarXiv:2610.05003v12026
Adaptive Expert Guidance for Efficient On-Policy Reinforcement Learning
Daniele Affinita, Ming Xu, Rudolf Reiter +2
cs.LGcs.AIarXiv:2610.06019v12026
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin
eess.IVcs.AIcs.CVarXiv:2003.04696v52020
Who Speaks Matters: Authority-Aware Multi-View RAG over Italian Parliamentary Proceedings
Mirko Tritella, Riccardo Pozzi, Matteo Palmonari
cs.AIarXiv:2608.13410v12026
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Alvin Wan, Xiaoliang Dai, Peizhao Zhang +9
cs.CVcs.AIcs.LGarXiv:2004.05565v12020
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen, Zhihao Wen, Ge Fan +6
cs.CLcs.AIarXiv:2407.04118v12024
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
Ce Zhou, Qian Li, Chen Li +16
cs.AIcs.CLcs.LGarXiv:2302.09419v32023
Measuring Stability and Failure Behavior in Language Models Under Structured Perturbations
Samira Golsefid
cs.AIcs.CLarXiv:2608.22138v12026
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero, Roberta Raileanu, Heinrich Küttler +3
cs.LGcs.AIstat.MLarXiv:2006.12122v22020
Long Text Generation via Adversarial Training with Leaked Information
Jiaxian Guo, Sidi Lu, Han Cai +3
cs.CLcs.AIcs.LGarXiv:1709.08624v22017
A Convex Formulation for Learning Task Relationships in Multi-Task Learning
Yu Zhang, Dit-Yan Yeung
cs.LGcs.AIstat.MLarXiv:1203.3536v12012
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta +2
cs.CVcs.AIcs.LGarXiv:2004.05155v12020
Network World Models as Environments for Algorithm Design on Complex Systems
Rishab Alagharu, Hongji Pu, Zeeshan Memon +3
cs.AIarXiv:2610.01048v12026
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Zhiyuan Xu, Jian Tang, Jingsong Meng +4
cs.NIcs.AIcs.LGarXiv:1801.05757v12018
When Do Options Help? Policy Necrosis and Redundant Coverage in Option-Critic
Bingyun Liu, Yuheng Jing
cs.LGcs.AIarXiv:2609.05508v12026
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan, Sijia Liu, Pin-Yu Chen +2
cs.CVcs.AIcs.LGarXiv:2111.01124v12021
Pix2seq: A Language Modeling Framework for Object Detection
Ting Chen, Saurabh Saxena, Lala Li +2
cs.CVcs.AIcs.CLarXiv:2109.10852v22021
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
Samuel Henrique Silva, Peyman Najafirad
cs.LGcs.AIstat.MLarXiv:2007.00753v22020
Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark
Enxin Song, Wenhao Chai, Weili Xu +3
cs.CVcs.AIarXiv:2504.14693v22025
Accurate and Efficient Low-Rank Model Merging in Core Space
Aniello Panariello, Daniel Marczak, Simone Magistri +5
cs.CVcs.AIarXiv:2509.17786v42025
Attacca: Goal-Directed Control under State Continuity for Long-Horizon Embodied Agents
Gyusik Seo, Jaehong Yoon
cs.AIarXiv:2610.07785v12026
Process Reward Model with Q-Value Rankings
Wendi Li, Yixuan Li
cs.CLcs.AIarXiv:2410.11287v22024
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
Chong Mou, Xintao Wang, Liangbin Xie +5
cs.CVcs.AIcs.LGarXiv:2302.08453v22023
CGMI: Configurable General Multi-Agent Interaction Framework
Shi Jinxin, Zhao Jiabao, Wang Yilei +3
cs.AIcs.HCcs.MAarXiv:2308.12503v22023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang, Ran He, Tieniu Tan
cs.LGcs.AIcs.CVarXiv:2303.15361v22023
Quantum Enhanced Inference in Markov Logic Networks
Peter Wittek, Christian Gogolin
stat.MLcs.AIquant-pharXiv:1611.08104v12016
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari +10
cs.CLcs.AIcs.LGarXiv:2407.04069v22024
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta +22
cs.LGcs.AIcs.ARarXiv:2111.00364v22021
AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
Junting Lu, Zhiyang Zhang, Fangkai Yang +7
cs.AIarXiv:2409.17140v22024
Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Shu Guo, Quan Wang, Lihong Wang +2
cs.AIarXiv:1711.11231v12017
Structure-agnostic Causal Representation Learning
Arman Behnam, Binghui Wang
cs.LGcs.AIarXiv:2610.00968v12026
Mastering Atari Games with Limited Data
Weirui Ye, Shaohuai Liu, Thanard Kurutach +2
cs.LGcs.AIcs.CVarXiv:2111.00210v22021
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks
Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta +1
cs.LGcs.AIcs.CEarXiv:2109.09338v22021
Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow
Yangyang Zhong, Yanmei Gu, Zhengqing Zang +14
cs.CLcs.AIcs.LGarXiv:2601.15593v22026
Shaping Belief States with Generative Environment Models for RL
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse +3
cs.LGcs.AIstat.MLarXiv:1906.09237v22019
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
Jiaqi Xue, Mengxin Zheng, Yebowen Hu +3
cs.CRcs.AIcs.CLarXiv:2406.00083v22024
Unifying Grokking and Double Descent
Xander Davies, Lauro Langosco, David Krueger
cs.LGcs.AIarXiv:2303.06173v12023
Diffutron: A Masked Diffusion Language Model for Turkish Language
Şuayp Talha Kocabay, Talha Rüzgar Akkuş
cs.CLcs.AIarXiv:2603.20466v12026

Artificial Intelligence

ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation

Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy

Structured Adversarial Attack: Towards General Implementation and Better Interpretability

Higher-Order Explanations of Graph Neural Networks via Relevant Walks

Fairlearn: Assessing and Improving Fairness of AI Systems

Towards One-for-All Robustness Across a Continuum of Threat Levels

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents

AstronOS: A Unified Execution Model and Runtime for Long-Horizon Agentic Systems

Context-DPO: Aligning Language Models for Context-Faithfulness

EvoPrompting: Language Models for Code-Level Neural Architecture Search

Minimax Regret Bounds for Reinforcement Learning

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer

Revisiting the Platonic Representation Hypothesis: An Aristotelian View

Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data

Automating the Design of Embodied Agent Architectures

Escaping Redundant Reasoning: Structure-Aware Search for Inference-Time LLMs

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas

Your Diffusion Model is Secretly a Zero-Shot Classifier

Learning-Assisted Automated Reasoning with Flyspeck

Context-Aware Generative Adversarial Privacy

How corner is a corner case? Percentile control for highway scenario generation

Adaptive Expert Guidance for Efficient On-Policy Reinforcement Learning

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Who Speaks Matters: Authority-Aware Multi-View RAG over Italian Parliamentary Proceedings

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Measuring Stability and Failure Behavior in Language Models Under Structured Perturbations

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Long Text Generation via Adversarial Training with Leaked Information

A Convex Formulation for Learning Task Relationships in Multi-Task Learning

Learning to Explore using Active Neural SLAM

Network World Models as Environments for Algorithm Design on Complex Systems

Experience-driven Networking: A Deep Reinforcement Learning based Approach

When Do Options Help? Policy Necrosis and Redundant Coverage in Option-Critic

When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?

Pix2seq: A Language Modeling Framework for Object Detection

Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Accurate and Efficient Low-Rank Model Merging in Core Space

Attacca: Goal-Directed Control under State Continuity for Long-Horizon Embodied Agents

Process Reward Model with Q-Value Rankings

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

CGMI: Configurable General Multi-Agent Interaction Framework

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

Quantum Enhanced Inference in Markov Logic Networks

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations

Sustainable AI: Environmental Implications, Challenges and Opportunities

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents

Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Structure-agnostic Causal Representation Learning

Mastering Atari Games with Limited Data

Learning in Sinusoidal Spaces with Physics-Informed Neural Networks

Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow

Shaping Belief States with Generative Environment Models for RL

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Unifying Grokking and Double Descent

Diffutron: A Masked Diffusion Language Model for Turkish Language