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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7,141 to 7,200 of 15,404

Fair Stable Matching: A Nash Social Welfare Approach
Parth Desai, Rasheed M, Ganesh Ghalme +1
cs.GTcs.AIarXiv:2609.02354v12026
Collective creativity in hybrid societies
Mason Youngblood, Katie Mudd, Manuel Anglada-Tort +4
cs.AIcs.CYcs.MAarXiv:2609.02620v12026
GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection
Yue Liao, Aixi Zhang, Miao Lu +3
cs.CVcs.AIarXiv:2203.13954v22022
Benchmarking Language Models for Statistical Problem Formulation
Chen Wang, Junzhe Zhao, Xin Cong +2
cs.AIarXiv:2609.01982v12026
Graph Inductive Biases in Transformers without Message Passing
Liheng Ma, Chen Lin, Derek Lim +5
cs.LGcs.AIarXiv:2305.17589v12023
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey
Hamza Kheddar, Mustapha Hemis, Yassine Himeur
cs.SDcs.AIeess.ASarXiv:2403.01255v22024
Predict, Don't Iterate: Efficient Adaptive-Length Infilling for Diffusion Language Models
Haobo Xu, Sirui Chen, Yuanchen Bei +5
cs.CLcs.AIarXiv:2609.02108v12026
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
Sarah Tan, Rich Caruana, Giles Hooker +1
stat.MLcs.AIcs.LGarXiv:1710.06169v42017
Building Ethics into Artificial Intelligence
Han Yu, Zhiqi Shen, Chunyan Miao +3
cs.AIarXiv:1812.02953v12018
Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems
Ryan Lopez, Paul J. Atzberger
cs.LGcs.AIeess.SYarXiv:2012.03448v22020
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)
Lucky Onwuzurike, Enrico Mariconti, Panagiotis Andriotis +3
cs.CRcs.AIarXiv:1711.07477v22017
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen, Lele Fu, Jie Yao +3
cs.CVcs.AIcs.LGarXiv:2211.09155v12022
A History of Metaheuristics
Kenneth Sorensen, Marc Sevaux, Fred Glover
cs.AIarXiv:1704.00853v12017
Finding a Collective Set of Items: From Proportional Multirepresentation to Group Recommendation
Piotr Skowron, Piotr Faliszewski, Jerome Lang
cs.GTcs.AIcs.MAarXiv:1402.3044v22014
Contrastive Explanations in Quantitative Bipolar Argumentation Frameworks
Xiang Yin, Nico Potyka, Antonio Rago +1
cs.AIarXiv:2609.02399v12026
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu, Kaihua Tang, Chunyan Miao +2
cs.AIarXiv:2103.01737v32021
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
Tianyuan Zhang, Hong-Xing Yu, Rundi Wu +5
cs.CVcs.AIarXiv:2404.13026v22024
Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
Indranil Pan, Saptarshi Das
eess.SYcs.AIcs.NEarXiv:1611.09755v12016
How Far is Video Generation from World Model: A Physical Law Perspective
Bingyi Kang, Yang Yue, Rui Lu +5
cs.CVcs.AIarXiv:2411.02385v22024
Orca 2: Teaching Small Language Models How to Reason
Arindam Mitra, Luciano Del Corro, Shweti Mahajan +12
cs.AIarXiv:2311.11045v22023
Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment
Tal Baumel, Jumana Nassour-Kassis, Raphael Cohen +2
cs.CLcs.AIarXiv:1709.09587v32017
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
John Yang, Carlos E. Jimenez, Alex L. Zhang +10
cs.CLcs.AIcs.SEarXiv:2410.03859v12024
Examining the Vulnerability of Multi-Agent Medical Systems to Human Interventions for Clinical Reasoning
Benjamin C Liu, Dillon Mehta, Rishi Malhotra +7
cs.AIarXiv:2609.02191v12026
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
cs.LGcs.AIarXiv:2102.05034v22021
Rethinking Efficient Lane Detection via Curve Modeling
Zhengyang Feng, Shaohua Guo, Xin Tan +3
cs.CVcs.AIcs.LGarXiv:2203.02431v22022
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
Mingyuan Zhou, Huangjie Zheng, Zhendong Wang +2
cs.LGcs.AIcs.CVarXiv:2404.04057v32024
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf +1
cs.LGcs.AIstat.MLarXiv:2006.06831v32020
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Qingyong Hu, Bo Yang, Sheikh Khalid +3
cs.CVcs.AIcs.ROarXiv:2009.03137v32020
Discriminative World Models for Web Agents
Kelvin Li, Dhruv Pendharkar, Anish Pahilajani +6
cs.AIcs.LGarXiv:2609.02885v12026
Enabling Language Models to Fill in the Blanks
Chris Donahue, Mina Lee, Percy Liang
cs.CLcs.AIcs.LGarXiv:2005.05339v22020
HyFlex: A Benchmark Framework for Cross-domain Heuristic Search
Edmund Burke, Tim Curtois, Matthew Hyde +2
cs.AIarXiv:1107.5462v12011
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh +11
cs.LGcs.AIarXiv:2210.14215v12022
ToolACE: Winning the Points of LLM Function Calling
Weiwen Liu, Xu Huang, Xingshan Zeng +24
cs.LGcs.AIcs.CLarXiv:2409.00920v22024
Case-based Reasoning for Natural Language Queries over Knowledge Bases
Rajarshi Das, Manzil Zaheer, Dung Thai +6
cs.CLcs.AIcs.LGarXiv:2104.08762v22021
When to use parametric models in reinforcement learning?
Hado van Hasselt, Matteo Hessel, John Aslanides
cs.LGcs.AIstat.MLarXiv:1906.05243v12019
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
Konstantin Klemmer, Esther Rolf, Caleb Robinson +2
cs.CVcs.AIcs.CYarXiv:2311.17179v32023
Distinguish Confusing Law Articles for Legal Judgment Prediction
Nuo Xu, Pinghui Wang, Long Chen +3
cs.CLcs.AIarXiv:2004.02557v32020
Beyond Context Windows: Persistent Discovery Context for Data-Centric Agents
Jalal Mahmud
cs.AIcs.IRarXiv:2609.02129v12026
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
Roberta Raileanu, Tim Rocktäschel
cs.LGcs.AIarXiv:2002.12292v22020
The Off-Switch Game
Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel +1
cs.AIarXiv:1611.08219v32016
Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework
Cagri Temel
cs.ROcs.AIarXiv:2609.02861v12026
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection
Hooman Alavizadeh, Julian Jang-Jaccard, Hootan Alavizadeh
cs.CRcs.AIarXiv:2111.13978v12021
Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects
Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang +8
cs.AIcs.MAarXiv:2401.03428v12024
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
Jiquan Wang, Sha Zhao, Zhiling Luo +5
eess.SPcs.AIcs.LGarXiv:2412.07236v62024
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography
Eunhee Kang, Hyun Jung Koo, Dong Hyun Yang +2
cs.CVcs.AIcs.LGarXiv:1806.09748v32018
Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
cs.LGcs.AIstat.MLarXiv:1903.02020v22019
Towards a Rigorous Evaluation of XAI Methods on Time Series
Udo Schlegel, Hiba Arnout, Mennatallah El-Assady +2
cs.LGcs.AIarXiv:1909.07082v22019
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang, Ligong Han, Arnab Ghosh +2
cs.CVcs.AIarXiv:2212.04489v22022
Generative Adversarial Transformers
Drew A. Hudson, C. Lawrence Zitnick
cs.CVcs.AIcs.CLarXiv:2103.01209v42021
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Zeyi Sun, Ye Fang, Tong Wu +6
cs.CVcs.AIcs.CLarXiv:2312.03818v22023
CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
Xiaoshi Wu, Feng Zhu, Rui Zhao +1
cs.CVcs.AIarXiv:2303.13076v12023
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou +2
cs.CLcs.AIcs.LGarXiv:1811.10996v12018
How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account
Ruize Xu, Xiao Yu, Yujin Tang +2
cs.LGcs.AIcs.CLarXiv:2608.30067v12026
Deep Reinforcement Learning for Imbalanced Classification
Enlu Lin, Qiong Chen, Xiaoming Qi
cs.LGcs.AIstat.MLarXiv:1901.01379v12019
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Sreyan Ghosh, Sonal Kumar, Ashish Seth +6
cs.SDcs.AIcs.CLarXiv:2406.11768v12024
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.ROarXiv:1812.07671v22018
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Ying Sheng, Shiyi Cao, Dacheng Li +9
cs.LGcs.AIcs.DCarXiv:2311.03285v32023
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
Jing-Cheng Shi, Yang Yu, Qing Da +2
cs.AIarXiv:1805.10000v12018
Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments
Fei Xia, William B. Shen, Chengshu Li +6
cs.ROcs.AIcs.CVarXiv:1910.14442v32019
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support
Tim Miller
cs.AIcs.HCarXiv:2302.12389v32023

Artificial Intelligence

Fair Stable Matching: A Nash Social Welfare Approach

Collective creativity in hybrid societies

GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection

Benchmarking Language Models for Statistical Problem Formulation

Graph Inductive Biases in Transformers without Message Passing

Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey

Predict, Don't Iterate: Efficient Adaptive-Length Infilling for Diffusion Language Models

Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation

Building Ethics into Artificial Intelligence

Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems

MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)

Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning

A History of Metaheuristics

Finding a Collective Set of Items: From Proportional Multirepresentation to Group Recommendation

Contrastive Explanations in Quantitative Bipolar Argumentation Frameworks

Distilling Causal Effect of Data in Class-Incremental Learning

PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation

Fractional Order AGC for Distributed Energy Resources Using Robust Optimization

How Far is Video Generation from World Model: A Physical Law Perspective

Orca 2: Teaching Small Language Models How to Reason

Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

Examining the Vulnerability of Multi-Agent Medical Systems to Human Interventions for Clinical Reasoning

SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks

Rethinking Efficient Lane Detection via Curve Modeling

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

Algorithmic recourse under imperfect causal knowledge: a probabilistic approach

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges

Discriminative World Models for Web Agents

Enabling Language Models to Fill in the Blanks

HyFlex: A Benchmark Framework for Cross-domain Heuristic Search

In-context Reinforcement Learning with Algorithm Distillation

ToolACE: Winning the Points of LLM Function Calling

Case-based Reasoning for Natural Language Queries over Knowledge Bases

When to use parametric models in reinforcement learning?

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Distinguish Confusing Law Articles for Legal Judgment Prediction

Beyond Context Windows: Persistent Discovery Context for Data-Centric Agents

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments

The Off-Switch Game

Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework

Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography

Using Natural Language for Reward Shaping in Reinforcement Learning

Towards a Rigorous Evaluation of XAI Methods on Time Series

SINE: SINgle Image Editing with Text-to-Image Diffusion Models

Generative Adversarial Transformers

Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account

Deep Reinforcement Learning for Imbalanced Classification

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities

Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning

Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments

Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support