IJCAI 2024

1,048 papers

Oasis: Data Curation and Assessment System for Pretraining of Large Language Models

Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu

RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms

Song Zhang

M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games

Tongtong Yu, Chenghua He, Qiyue Yin

Upgrading Search Applications in the Era of LLMs: A Demonstration with Practical Lessons

Shuang Yu, Nirandika Wanigasekara, Jeff Tan, Kent Fitch, Jaydeep Sen

FasterVD: On Acceleration of Video Diffusion Models

Pinrui Yu, Dan Luo, Timothy Rupprecht, LEI LU, Zhenglun Kong

Reinforcement Learning for Athletic Intelligence: Lessons from the 1st “AI Olympics with RealAIGym” Competition

Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Chi Zhang, Théo Vincent

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset

Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, Tsi-Ui Ik

Carbon Market Simulation with Adaptive Mechanism Design

Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang

AI-Olympics: Exploring the Generalization of Agents through Open Competitions

Chen Wang, Yan Song, Shuai Wu, Sa Wu, Ruizhi Zhang

KnowledgeHub: An End-to-End Tool for Assisted Scientific Discovery

Shinnosuke Tanaka, James Barry, Vishnudev Kuruvanthodi, Movina Moses, Maxwell J. Giammona

A Framework for Centralized Traffic Routing in Urban Areas

Matyáš Švadlenka, Lukáš Chrpa

PiShield: A PyTorch Package for Learning with Requirements

Mihaela C. Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia

ToDo: Token Downsampling for Efficient Generation of High-Resolution Images

Ethan Smith, Nayan Saxena, Aninda Saha

Towards a Resilient Intelligent Automation System

Segev Shlomov, Sami Marreed, Avi Yaeli

O2ARC 3.0: A Platform for Solving and Creating ARC Tasks

Suyeon Shim, Dohyun Ko, Hosung Lee, Seokki Lee, Doyoon Song

Rhythm Inference Helping Writing Music Scores

François Schwarzentruber

Inside Out: Emotional Multiagent Multimodal Dialogue Systems

Andrey V. Savchenko, Lyudmila V. Savchenko

Digital Avatars: Framework Development and Their Evaluation

Timothy Rupprecht, Sung-En Chang, Yushu Wu, LEI LU, Enfu Nan

AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes

Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill Lukyanov

XGA-Osteo: Towards XAI-Enabled Knee Osteoarthritis Diagnosis with Adversarial Learning

Hieu Phan, Loc Le, Mao Nguyen, Phat Nguyen, Sang Nguyen

SmartTransit.AI: A Dynamic Paratransit and Microtransit Application

Sophie Pavia, David Rogers, Amutheezan Sivagnanam, Michael Wilbur, Danushka Edirimanna

AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State Tuning

Chanhyuk Park, Jungbin Cho, Junwan Kim, Seongmin Lee, Jungsu Kim

ComVas: Contextual Moral Values Alignment System

Inkit Padhi, Pierre Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar

LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks

Hung Nguyen, Tobias Clement, Loc Nguyen, Nils Kemmerzell, Binh Truong

ReportParse: A Unified NLP Tool for Extracting Document Structure and Semantics of Corporate Sustainability Reporting

Gaku Morio, Soh Young In, Jungah Yoon, Harri Rowlands, Christopher Manning

SaGol: Using MiniGPT-4 to Generate Alt Text for Improving Image Accessibility

Yunseo Moon, Hyunmin Lee, SeungYoung Oh, Hyunggu Jung

DFRP: A Dual-Track Feedback Recommendation System for Educational Resources

ChaoJun Meng, Changfan Pan, Zilong Li, Cong Zhou, Xinran Cao

AESim: A Data-Driven Aircraft Engine Simulator

Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille

Mahjong AI Competition: Exploring AI Application in Complex Real-World Games

Yunlong Lu, Wenxin Li

Place Anything into Any Video

Ziling Liu, JINYU YANG, Mingqi Gao, Feng Zheng

Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring

Jia Syuen Lim, Ziwei Wang, Jiajun Liu, Abdelwahed Khamis, Reza Arablouei

Interactive Visual Learning for Stable Diffusion

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng

iFakeDetector: Real Time Integrated Web-based Deepfake Detection System

Kangjun Lee, Inho Jung, Simon S. Woo

SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery

Bum Chul Kwon, Simona Rabinovici-Cohen, Beldine Moturi, Ruth Mwaura, Kezia Wahome

ProMoAI: Process Modeling with Generative AI

Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M.P. van der Aalst

AUTODRAITEC: An Infrastructure-Based AUTOnomous DRiving System Using Artificial Intelligence and TEleCommunication Technologies

Zine El Abidine Kherroubi, Fouzi Boukhalfa, Thierry Lestable, Carlos-Faouzi Bader

NEGOTIATOR: A Comprehensive Framework for Human-Agent Negotiation Integrating Preferences, Interaction, and Emotion

Mehmet Onur Keskin, Berk Buzcu, Berkecan Koçyiğit, Umut Çakan, Anıl Doğru

Using Large Language Models and Recruiter Expertise for Optimized Multilingual Job Offer – Applicant CV Matching

Hamit Kavas, Marc Serra-Vidal, Leo Wanner

Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning

Hannes Kath, Patricia P. Serafini, Ivan B. Campos, Thiago S. Gouvêa, Daniel Sonntag

Artificial Intelligence-Driven Video Indexing for Rapid Surveillance Footage Summarization and Review

Jaemin Jung, Soonyong Park, Harim Kim, Changha Lee, Charmgil Hong

InViTe: Individual Virtual Transfer for Personalized 3D Face Generation System

Mingyu Jang, Kyungjune Lee, Seongmin Lee, Hoseok Tong, Juwan Chung

An LLM-enhanced Agent-based Simulation Tool for Information Propagation

Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai

CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video

Parsa Hejabi, Akshay Kiran Padte, Preni Golazizian, Rajat Hebbar, Jackson Trager

Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring

Maksim Golyadkin, Maria Shtark, Petr Ivanov, Alexander Kozhevnikov, Leonid Zhukov

Enhancing Manufacturing with AI-powered Process Design

Gianmarco Genalti, Gabriele Corbo, Tommaso Bianchi, Marco Missaglia, Luca Negri

From 2D to 3D: AISG-SLA Visual Localization Challenge

Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee

LLM-powered GraphQL Generator for Data Retrieval

Balaji Ganesan, Sambit Ghosh, Nitin Gupta, Manish Kesarwani, Sameep Mehta

Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection

Alexander Gambashidze, Aleksandr Dadukin, Maxim Golyadkin, Maria Razzhivina, Ilya Makarov

Probabilistic Feature Matching for Fast Scalable Visual Prompting

Thomas Frick, Cezary Skura, Filip M. Janicki, Roy Assaf, Niccolo Avogaro

An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations

Jonathan Erskine, Matt Clifford, Alexander Hepburn, Raul Santos Rodriguez

NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components

Anıl Doğru, Mehmet Onur Keskin, Catholijn M. Jonker, Tim Baarslag, Reyhan Aydoğan

3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups

Tingwei Chen, Jianpeng Chen, Dawei Zhou

E-QGen: Educational Lecture Abstract-based Question Generation System

Mao-Siang Chen, An-Zi Yen

Integrating LLM, VLM, and Text-to-Image Models for Enhanced Information Graphics: A Methodology for Accurate and Visually Engaging Visualizations

Chao-Ting Chen, Hen-Hsen Huang

IntEr-HRI Competition: Intrinsic Error Evaluation during Human - Robot Interaction

Kartik Chari, Niklas Kueper, Su Kyoung Kim, Frank Kirchner, Elsa Andrea Kirchner

FD-UAD: Unsupervised Anomaly Detection Platform Based on Defect Autonomous Imaging and Enhancement

Yang Chang, Yuxuan Lin, Boyang Wang, Qing Zhao, Yan Wang

GigaPevt: Multimodal Medical Assistant

Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan Botman

PyClause - Simple and Efficient Rule Handling for Knowledge Graphs

Patrick Betz, Luis Galárraga, Simon Ott, Christian Meilicke, Fabian Suchanek

Design of a Data-driven Intervention Dashboard for SDG Localization

Pooja Bassin, Abraham G K, Srinath Srinivasa

PyXAI: An XAI Library for Tree-Based Models

Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski

REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms

Lotfy Abdel Khaliq, Sabine Janzen, Wolfgang Maass

Machine Unlearning: Challenges in Data Quality and Access

Miao Xu

Computational Argumentation: Reasoning, Dynamics, and Supporting Explainability

Johannes P. Wallner

Formal Argumentation in Symbolic AI

Markus Ulbricht

Expanding the Reach of Social Choice Theory

Warut Suksompong

A Little of That Human Touch: Achieving Human-Centric Explainable AI via Argumentation

Antonio Rago

Transforming Recommender Systems: Balancing Personalization, Fairness, and Human Values

Julia Neidhardt

Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization

Christopher Morris

The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence

Guodong Long

Algorithmic Fairness in Distribution of Resources and Tasks

Hadi Hosseini

Trustworthy Machine Learning under Imperfect Data

Bo Han

Human-AI Interaction Generation: A Connective Lens for Generative AI and Procedural Content Generation

Matthew Guzdial

Human-Robot Alignment through Interactivity and Interpretability: Don't Assume a ``Spherical Human''

Matthew Gombolay

Culturally-aware Image Captioning

Youngsik Yun

N-Agent Ad Hoc Teamwork

Caroline Wang

Fairness and Optimization in Dynamic Multiagent Allocation Problems

Yohai Trabelsi

Stakeholder-oriented Decision Support for Auction-based Federated Learning

Xiaoli Tang

Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments

Angel Sylvester

Implicit Anomaly Subgraph Detection (IASD) in Multi-Domain Attribute Networks

Ying Sun

Deep Learning with Requirements in the Real World

Mihaela C. Stoian

Cooperation and Fairness in Systems of Indirect Reciprocity

Martin Smit

Optimization Under Epistemic Uncertainty Using Prediction

Noah Schutte

Multivariate Analysis and Structural Restrictions in Computational Social Choice

Šimon Schierreich

Fair and Efficient Chore Allocation: Existence and Computation

Aniket Murhekar

Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games

Ondřej Kubíček

Two-Sided Facility Location Games

Simon Krogmann

Parameter Efficient Instruction Tuning of LLMs for Financial Applications

Subhendu Khatuya

NeuroSymbolic LLM for Mathematical Reasoning and Software Engineering

Prithwish Jana

Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision

Gaël Gendron

Towards Revolutionized Smart Grids: An AI-Driven Broker for Improved Operational Efficiency

Sanjay Chandlekar

Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint)

Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski

Hierarchical Decompositions and Termination Analysis for Generalized Planning (Abstract Reprint)

Siddharth Srivastava

Methods for recovering conditional independence graphs (Abstract Reprint)

Harsh Shrivastava, Urszula Chajewska

Performative Ethics From Within the Ivory Tower: How CSPractitioners Uphold Systems of Oppression (Abstract Reprint)

Zari McFadden, Lauren Alvarez

Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint)

Hong Liu, Zhun Zhong, Nicu Sebe, Shin'ichi Satoh

Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint)

Michael Lim, Tyler Becker, Mykel Kochenderfer, Claire Tomlin, Zachary Sunberg

On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)

Mohit Kumar, Bernhard A. Moser, Lukas Fischer

SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint)

Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov

A differentiable first-order rule learner for inductive logic programming (Abstract Reprint)

Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang

Learning to Resolve Social Dilemmas: A Survey (Abstract Reprint)

Shaheen Fatima, Nicholas Jennings, Michael Wooldridge