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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15,781 to 15,840 of 27,635

Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell, Guanya Shi, Xichen Shi +4
cs.ROcs.AIcs.LGarXiv:2205.06908v22022
KLOD: Locality-Preserving Knowledge Editing via Non-Target Distribution Preservation
Hojun Jeong, Gyunyeop Kim, Sangwoo Kang
cs.AIarXiv:2608.27839v12026
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
Jie Qiao, Ruichu Cai, Siyu Wu +3
cs.LGcs.AIstat.MEarXiv:2305.05986v12023
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem +3
stat.MLcs.AIcs.DBarXiv:1703.06103v42017
WorldString: Actionable World Representation
Kunqi Xu, Jitao Li, Jianglong Ye +4
cs.AIarXiv:2605.18743v22026
BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks
Rui Miao, Yixin Liu, Yili Wang +5
cs.AIarXiv:2508.08127v22025
SkillJect: Effectively Automating Skill-Based Prompt Injection for Skill-Enabled Agents
Xiaojun Jia, Jie Liao, Simeng Qin +5
cs.CRcs.AIarXiv:2602.14211v32026
Interactive Model Cards: A Human-Centered Approach to Model Documentation
Anamaria Crisan, Margaret Drouhard, Jesse Vig +1
cs.HCcs.AIcs.CLarXiv:2205.02894v12022
PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
Zhihao Lin, Wei Ma, Mingyi Zhou +5
cs.CRcs.AIarXiv:2409.14177v22024
Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks
Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese
cs.CRcs.AIarXiv:2410.20911v22024
BenchAgents: Multi-Agent Systems for Structured Benchmark Creation
Natasha Butt, Varun Chandrasekaran, Neel Joshi +2
cs.LGcs.AIcs.CLarXiv:2410.22584v22024
ML Research Benchmark
Matthew Kenney
cs.AIarXiv:2410.22553v12024
DI-Bench: Systematically Generating In-Domain Data Intelligence Benchmarks for Enterprise Agents
Jiangyun Zhang, Kristen Surrao, Torpong Nitayanont +10
cs.AIarXiv:2609.05776v12026
NetSafe: Exploring the Topological Safety of Multi-agent Networks
Miao Yu, Shilong Wang, Guibin Zhang +6
cs.MAcs.AIarXiv:2410.15686v12024
Agent Memory with Episodic Retrieval for Financial Decision-Making
Nuoyue Xu, Jiang Liu, Wenxuan Huang +3
cs.AIarXiv:2609.28771v12026
A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents
Lingbo Mo, Zeyi Liao, Boyuan Zheng +3
cs.CLcs.AIarXiv:2402.10196v12024
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Rongrong Ma, Guansong Pang, Ling Chen +1
cs.CVcs.AIcs.LGarXiv:2112.10063v12021
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao +1
cs.CRcs.AIcs.CVarXiv:2111.04625v12021
TidyBot: Personalized Robot Assistance with Large Language Models
Jimmy Wu, Rika Antonova, Adam Kan +6
cs.ROcs.AIcs.CLarXiv:2305.05658v22023
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh, Andrew M. Dai, Minh-Thang Luong +1
cs.LGcs.AIstat.MLarXiv:1803.00144v32018
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin, Jia Shi, Deepak Pathak +1
cs.CVcs.AIcs.LGarXiv:2201.06289v32022
ShieldLearner: A New Paradigm for Jailbreak Attack Defense in LLMs
Ziyi Ni, Hao Wang, Huacan Wang
cs.CRcs.AIcs.CLarXiv:2502.13162v12025
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
Chuan Qin, Hengshu Zhu, Tong Xu +4
cs.AIcs.CLcs.LGarXiv:1812.08947v12018
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
Yuqi Zhu, Shuofei Qiao, Yixin Ou +7
cs.CLcs.AIcs.HCarXiv:2403.03101v32024
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments
Zuxin Liu, Baiming Chen, Hongyi Zhou +3
cs.ROcs.AIcs.LGarXiv:2007.15724v12020
Sociotechnical Safety Evaluation of Generative AI Systems
Laura Weidinger, Maribeth Rauh, Nahema Marchal +10
cs.AIcs.CLcs.CYarXiv:2310.11986v22023
Decoupled Side Information Fusion for Sequential Recommendation
Yueqi Xie, Peilin Zhou, Sunghun Kim
cs.IRcs.AIarXiv:2204.11046v12022
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
Shuofei Qiao, Ningyu Zhang, Runnan Fang +5
cs.CLcs.AIcs.HCarXiv:2401.05268v42024
On the Clock: Towards Punctual and Productive Time-Budgeted AI Agents
Aaron Wang, Neelabh Madan, Vlad Sobal +5
cs.AIcs.LGarXiv:2610.10833v12026
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach +3
cs.CLcs.AIarXiv:2404.05961v22024
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Yang Liu, Dan Iter, Yichong Xu +3
cs.CLcs.AIarXiv:2303.16634v32023
Learning to Repair: Repairing model output errors after deployment using a dynamic memory of feedback
Niket Tandon, Aman Madaan, Peter Clark +1
cs.CLcs.AIarXiv:2112.09737v22021
Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory
Gordon Dai, Weijia Zhang, Jinhan Li +5
cs.AIcs.CLcs.CYarXiv:2406.14373v32024
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning
Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr +2
cs.HCcs.AIcs.LGarXiv:2111.04418v12021
HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics
Jingxuan Fan, Sarah Martinson, Erik Y. Wang +6
cs.LGcs.AIarXiv:2410.09988v22024
Unpacking the Ethical Value Alignment in Big Models
Xiaoyuan Yi, Jing Yao, Xiting Wang +1
cs.CYcs.AIcs.CLarXiv:2310.17551v12023
BitDance: Scaling Autoregressive Generative Models with Binary Tokens
Yuang Ai, Jiaming Han, Shaobin Zhuang +8
cs.CVcs.AIarXiv:2602.14041v22026
EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
Yingkai Yang, Ashton Yu Xuan Tan, Bowen Li +10
cs.AIcs.LGeess.SParXiv:2609.07128v12026
Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You In
Itay Nakash, George Kour, Guy Uziel +1
cs.CRcs.AIarXiv:2410.16950v12024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang, Nan Huang, Taida Li +2
eess.SPcs.AIcs.LGarXiv:2405.19363v22024
Attention Schema in Neural Agents
Dianbo Liu, Samuele Bolotta, He Zhu +2
cs.AIcs.LGarXiv:2305.17375v32023
Path-Specific Objectives for Safer Agent Incentives
Sebastian Farquhar, Ryan Carey, Tom Everitt
cs.AIstat.MLarXiv:2204.10018v12022
Evaluating the Performance of Large Language Models on GAOKAO Benchmark
Xiaotian Zhang, Chunyang Li, Yi Zong +12
cs.CLcs.AIarXiv:2305.12474v42023
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction
Qian Chen, Yafeng Chen, Yanni Chen +33
cs.CLcs.AIcs.HCarXiv:2501.06282v12025
Evaluating General-Purpose AI with Psychometrics
Xiting Wang, Liming Jiang, Jose Hernandez-Orallo +4
cs.AIcs.CYarXiv:2310.16379v22023
From Sparse to Soft Mixtures of Experts
Joan Puigcerver, Carlos Riquelme, Basil Mustafa +1
cs.LGcs.AIcs.CVarXiv:2308.00951v22023
AI Flow: Perspectives, Scenarios, and Approaches
Hongjun An, Wenhan Hu, Sida Huang +11
cs.AIcs.CLcs.CVarXiv:2506.12479v32025
I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models
Max Reuter, William Schulze
cs.AIarXiv:2306.03423v22023
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
q-fin.STcs.AIcs.LGarXiv:2305.04811v22023
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
Wenjie Fu, Huandong Wang, Liyuan Zhang +3
cs.LGcs.AIcs.CRarXiv:2308.12143v52023
Towards Fine-grained Causal Reasoning and QA
Linyi Yang, Zhen Wang, Yuxiang Wu +2
cs.CLcs.AIcs.LOarXiv:2204.07408v12022
AutoCodeRover: Autonomous Program Improvement
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan +1
cs.SEcs.AIarXiv:2404.05427v32024
Data-centric Artificial Intelligence: A Survey
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai +4
cs.LGcs.AIcs.DBarXiv:2303.10158v32023
A Machine-Learning Approach for Earthquake Magnitude Estimation
S. Mostafa Mousavi, Gregory C. Beroza
physics.geo-phcs.AIcs.LGarXiv:1911.05975v12019
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models
Sejoon Oh, Yiqiao Jin, Megha Sharma +4
cs.CLcs.AIcs.LGarXiv:2411.01703v22024
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini +4
cs.IRcs.AIcs.CLarXiv:2112.09118v42021
COMIC: Reference-Aware Safety Gating for Multimodal Large Language Models
Md Abdullahil Oaphy, Anhao Xiang, Zongxing Xie +3
cs.CRcs.AIarXiv:2608.17234v12026
Entailment as Few-Shot Learner
Sinong Wang, Han Fang, Madian Khabsa +2
cs.CLcs.AIarXiv:2104.14690v12021
Combating Adversarial Attacks with Multi-Agent Debate
Steffi Chern, Zhen Fan, Andy Liu
cs.CLcs.AIarXiv:2401.05998v12024
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Hanjia Lyu, Song Jiang, Hanqing Zeng +7
cs.CLcs.AIcs.IRarXiv:2307.15780v32023

Artificial Intelligence

Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds

KLOD: Locality-Preserving Knowledge Editing via Non-Target Distribution Preservation

Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences

Modeling Relational Data with Graph Convolutional Networks

WorldString: Actionable World Representation

BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks

SkillJect: Effectively Automating Skill-Based Prompt Injection for Skill-Enabled Agents

Interactive Model Cards: A Human-Centered Approach to Model Documentation

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach

Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

BenchAgents: Multi-Agent Systems for Structured Benchmark Creation

ML Research Benchmark

DI-Bench: Systematically Generating In-Domain Data Intelligence Benchmarks for Enterprise Agents

NetSafe: Exploring the Topological Safety of Multi-agent Networks

Agent Memory with Episodic Retrieval for Financial Decision-Making

A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories

TidyBot: Personalized Robot Assistance with Large Language Models

Learning Longer-term Dependencies in RNNs with Auxiliary Losses

The CLEAR Benchmark: Continual LEArning on Real-World Imagery

ShieldLearner: A New Paradigm for Jailbreak Attack Defense in LLMs

Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments

Sociotechnical Safety Evaluation of Generative AI Systems

Decoupled Side Information Fusion for Sequential Recommendation

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

On the Clock: Towards Punctual and Productive Time-Budgeted AI Agents

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Learning to Repair: Repairing model output errors after deployment using a dynamic memory of feedback

Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory

A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning

HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics

Unpacking the Ethical Value Alignment in Big Models

BitDance: Scaling Autoregressive Generative Models with Binary Tokens

EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles

Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You In

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Attention Schema in Neural Agents

Path-Specific Objectives for Safer Agent Incentives

Evaluating the Performance of Large Language Models on GAOKAO Benchmark

MinMo: A Multimodal Large Language Model for Seamless Voice Interaction

Evaluating General-Purpose AI with Psychometrics

From Sparse to Soft Mixtures of Experts

AI Flow: Perspectives, Scenarios, and Approaches

I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models

Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022

A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models

Towards Fine-grained Causal Reasoning and QA

AutoCodeRover: Autonomous Program Improvement

Data-centric Artificial Intelligence: A Survey

A Machine-Learning Approach for Earthquake Magnitude Estimation

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models

Unsupervised Dense Information Retrieval with Contrastive Learning

COMIC: Reference-Aware Safety Gating for Multimodal Large Language Models

Entailment as Few-Shot Learner

Combating Adversarial Attacks with Multi-Agent Debate

LLM-Rec: Personalized Recommendation via Prompting Large Language Models