IJCAI 2025

1,280 papers

Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration

Lin Jiang, Dahai Yu, Rongchao Xu, Tian Tang, Guang Wang

Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management

Dina Hussein, Chibuike E. Ugwu, Ganapati Bhat, Janardhan Rao Doppa

AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents

Petr Anokhin, Nikita Semenov, Artyom Sorokin, Dmitry Evseev, Andrey Kravchenko

Synthesising Minimum Cost Dynamic Norms

Natasha Alechina, Brian Logan, Giuseppe Perelli

What If LLMs Can Smell: A Prototype

Xueyi Zhou, Qi Lu, Dong-Kyu Chae

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution

Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao

A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning

Xuejiao Zhao, Siyan Liu, Su-Yin Yang, Chunyan Miao

PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models

Zheng Zhang, Jinyi Li, Yihuai Lan, Xiang Wang, Hao Wang

HealthLens: A Natural Language Querying System for Interactive Visualization of Electronic Health Records

Haodi Zhang, Siqi Ning, Qiyong Zheng, Yuanfeng Song, Liang-Jie Zhang

OpenIAI-SNIO: A Systematic AR-Based Assembly Guidance System for Small-Scale, High-Density Industrial Components

Yuntao Wang, Yu Cheng, Junhao Geng

SAFE: Structured Argumentation for Fact-checking with Explanations

Xiaoou Wang, Elena Cabrio, Serena Villata

Aletheia: Detect, Discuss, and Stay Informed on Fake News

Dorsaf Sallami, Esma Aïmeur

PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences

Artem Sakhno, Ivan Kireev, Dmitrii Babaev, Maxim Savchenko, Gleb Gusev

SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents

Maximilian Puelma Touzel, Sneheel Sarangi, Gayatri Krishnakumar, Busra Tugce Gurbuz, Austin Welch

TRIKOP: Exploring Visual Prompting Paradigms for Multi-Grade Knee Osteoarthritis Classification on MRI Images

Hieu Phan, Hung Pham, Dat Nguyen, Khoa Le, Tuan Nguyen

Machine Learning Driven Optimization of Fe-Based TMCs for Photodynamic Therapy

Vladimir Manuilov, Antonio Francés-Monerris, Abdelazim M.A. Abdelgawwad, Daniel Escudero, Ilya Makarov

SkyRover: A Modular Simulator for Cross-Domain Pathfinding

Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang

MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient

Yanzeng Li, Cheng Zeng, Jinchao Zhang, Jie Zhou, Lei Zou

Tsururu: A Python-based Time Series Forecasting Strategies Library

Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay, Andrey Savchenko, Dmitry Simakov

NatSTV: Towards Verification of Natural Strategic Ability

Mateusz Kamiński, Damian Kurpiewski, Wojciech Jamroga

RobustX: Robust Counterfactual Explanations Made Easy

Junqi Jiang, Luca Marzari, Aaryan Purohit, Francesco Leofante

Search Swarm: Multiagent Large Language Models Framework for E-commerce Product Search

Nagim Isyanbaev, Ilya Makarov

Conversational Exploration of Literature Landscape with LitChat

Mingyu Huang, Shasha Zhou, Yuxuan Chen, Ke Li

MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions

Hadi Hosseini, Yubo Jing, Ronak Singh

Fairness-Aware Interactive Target Variable Definition

Dalia Gala, Milo Phillips-Brown, Naman Goel, Carina Prunkl, Laura Alvarez Jubete

A Multimodal AI Dialogue System for Unified Document, Visual, and Audio Interaction

Yujun Feng, Jingyi Huang, Yang Zhang

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding

Yihao Ding, Soyeon Caren Han, Yan Li, Josiah Poon

MoleculeMiner: Extracting and Linking Molecule Figures with Tabular Metadata

Abhisek Dey, Nathaniel H. Stanley

GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs

Longchao Da, Parth Mitesh Shah, Kuan-Ru Liou, Jiaxing Zhang, Hua Wei

How to Make Reproducible Research in Machine Unlearning with ERASURE

Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis

Veracity: An Open-Source AI Fact-Checking System

Taylor Lynn Curtis, Maximilian Puelma Touzel, William Garneau, Manon Gruaz, Mike Pinder

SPARC: An AI-Based Speech Processing and Real-Time Correction System

TingRay Chung, Pin-Yu Chen

TimelyMed: AI-Driven Clinical Course Attribution and Temporal Mapping for Psychiatric Medical Records

Chien-Hung Chen, Chi-Shin Wu, Chu-Hsien Su, Hsin-Hsi Chen

Aerial Coverage Path Planning in Nuclear Emergencies

Johann Blake, Matthias Schubert

Using Planning for Automated Testing of Video Games

Tomáš Balyo, Roman Barták, Lukáš Chrpa, Michal Červenka, Filip Dvořák

Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games

Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski

Taking STEPS Forward: Enhancing Online Peer-Counseling with Schema Therapy via Socratic Questioning

Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng

ASP Chef Chats with Large Language Models

Mario Alviano, Pietro Macrì, Luis Angel Rodriguez Reiners

DAVE: A Framework for Assisted Analysis of Document Collections in Knowledge-Intensive Domains

Ruben Agazzi, Renzo Alva Principe, Riccardo Pozzi, Marco Ripamonti, Matteo Palmonari

Toward Interpretable Time Series Modeling: A Kernel Representation Perspective

Kunpeng Xu

Reward Adaptation via Q-Manipulation: Provably Beneficial Reward Function Transfer in Reinforcement Learning

Kevin Jatin Vora

Visual Analytics for Guiding Feature Attribution Method Selection

Priscylla Silva

Rating AI Models for Robustness Through a Causal Lens

Kausik Lakkaraju

Measuring and Mitigating Homelessness Bias: Leveraging AI for Social Impact

Jonathan A. Karr Jr.

Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification

Agathe Fernandes Machado

Enhancing the Logical Reasoning Abilities of Large Language Models

Fengxiang Cheng

A Formal Theory of Optimal Learning with Experimental Results

Michael Timothy Bennett

Data-Centric AI for Chest X-Ray Analysis in Resource-Constrained Settings

Yasmeena Akhter

Agent-based Modeling for Policy-Making in Inequity Contexts

Alba Aguilera

Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint)

Zhilin Zhao, Longbing Cao, Philip S. Yu

Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)

Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati

Human Activity Recognition in an Open World (Abstract Reprint)

Derek Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi

NovPhy: A Physical Reasoning Benchmark for Open-World AI Systems Author Links Open Overlay Panel (Abstract Reprint)

Vimukthini Pinto, Chathura Gamage, Cheng Xue, Peng Zhang, Ekaterina Nikonova

Human-AI Coevolution (Abstract Reprint)

Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-Laszlo Barabasi

A Semantic Framework for Neurosymbolic Computation (Abstract Reprint)

Alejandra López de Aberasturi Gómez, Jordi Sabater-Mir, Carles Sierra

CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction (Abstract Reprint)

Jinlin Li, Xiao Zhou

Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint)

Juhani Kivimäki, Jakub Białek, Jukka K. Nurminen, Wojtek Kuberski

CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint)

Frederic Kirstein, Jan Philip Wahle, Bela Gipp, Terry Ruas

On Measuring Inconsistency in Graph Databases with Regular Path Constraints (Abstract Reprint)

John Grant, Francesco Parisi

The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint)

Kevin Delcourt, Sylvie Trouilhet, Jean-Paul Arcangeli, Françoise Adreit

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint)

Furkan Cantürk, Taha Varol, Reyhan Aydoğan, Okan Örsan Özener

Credulous Acceptance in High-Order Argumentation Frameworks with Necessities: An Incremental Approach (Abstract Reprint)

Gianvincenzo Alfano, Andrea Cohen, Sebastian Gottifredi, Sergio Greco, Francesco Parisi

Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)

Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li

CAM-Based Methods Can See through Walls (Extended Abstract)

Magamed Taimeskhanov, Ronan Sicre, Damien Garreau

Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning (Extended Abstract)

David Speck, Daniel Gnad

Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)

Miro Mannino, Junior Garcia, Reem Hazim, Azza Abouzied, Paolo Papotti

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract)

Qianou Ma, Hua Shen, Ken Koedinger, Tongshuang Wu

A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract)

Zhigang Liu, Hao Yan, Yurong Zhong, Weiling Li

Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract)

Peiyan Li, Honglian Wang, Christian Böhm

SEE: Spherical Embedding Expansion for Improving Deep Metric Learning (Extended Abstract)

Binh M. Le, Simon S. Woo

Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)

Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte, Marlon Dumas

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract)

Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou

Incentives for Early Arrival in Cooperative Games (Extended Abstract)

Yaoxin Ge, Yao Zhang, Dengji Zhao, Zhihao Gavin Tang, Hu Fu

Mechanism Design for Large Language Models (Extended Abstract)

Paul Dütting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo

Domain Prompt Learning with Quaternion Networks (Extended Abstract)

Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang

Shapley Value Computation in Ontology-Mediated Query Answering (Extended Abstract)

Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade

FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract)

Adda Akram Bendoukha, Nesrine Kaaniche, Aymen Boudguiga, Renaud Sirdey

Meaning Holism and Indeterminacy of Reference in Ontologies (Extended Abstract)

Adrien Barton, Paul Fabry, Jean-François Ethier

Learning Accurate and Interpretable Decision Trees (Extended Abstract)

Maria-Florina Balcan, Dravyansh Sharma

Contractions Based on Optimal Repairs (Extended Abstract)

Franz Baader, Renata Wassermann

Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract)

Ido Amos, Jonathan Berant, Ankit Gupta

Connector-S: A Survey of Connectors in Multi-modal Large Language Models

Xun Zhu, Zheng Zhang, Xi Chen, Yiming Shi, Miao Li

A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models

Da-Wei Zhou, Han-Jia Ye

How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM

Jirong Zha, Yuxuan Fan, Xiao Yang, Chen Gao, Xinlei Chen

Reward Models in Deep Reinforcement Learning: A Survey

Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan

Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey

Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor Tsang, Yew-Soon Ong

A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions

Zihan Yang, Xiaohui Tao, Taotao Cai, Yifu Tang, Haoran Xie

Federated Low-Rank Adaptation for Foundation Models: A Survey

Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models

Xiao-wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou

Tensor Network: from the Perspective of AI4Science and Science4AI

Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong

A Survey of Pathology Foundation Model: Progress and Future Directions

Conghao Xiong, Hao Chen, Joseph J. Y. Sung

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions

Ziyang Xiao, Jingrong Xie, Lilin Xu, Shisi Guan, Jingyan Zhu

A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing

Jun Xia, Jingbo Zhou, Shaorong Chen, Tianze Ling, Stan Z. Li

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review

Di Wu, xian wei, Guang Chen, Hao Shen, Bo Jin

Safety of Embodied Navigation: A Survey

Zixia Wang, Jia Hu, Ronghui Mu

An Empirical Study of Federated Prompt Learning for Vision Language Model

Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan

Deep Learning for Multivariate Time Series Imputation: A Survey

Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao

Large Language Models for Causal Discovery: Current Landscape and Future Directions

Guangya Wan, Yunsheng Lu, Yuqi Wu, Mengxuan Hu, Sheng Li

Human-Centric Foundation Models: Perception, Generation and Agentic Modeling

SHIXIANG TANG, Yizhou Wang, Lu Chen, Yuan Wang, Sida Peng

Game Theory Meets Large Language Models: A Systematic Survey

Haoran Sun, Yusen Wu, Yukun Cheng, Xu Chu