| 2024 | AI for Declarative Processes: Representation, Mining, Synthesis. | Marco Montali |
| 2024 | KGPRUNE: A Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning. | Pierre Monnin, Cherif-Hassan Nousradine, Lucas Jarnac, Laurel Zuckerman, Miguel Couceiro |
| 2024 | Enhancing Manufacturing Knowledge Access with LLMs and Context-Aware Prompting. | Sebastian Monka, Irln Grangel-Gonzlez, Stefan Schmid, Lavdim Halilaj, Marc Rickart, Oliver Rudolph, Rui Dias |
| 2024 | More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation. | Matas Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, Joo Gama |
| 2024 | Graphite: A Graph-Based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation. | Ashirbad Mishra, Soumik Dey, Jinyu Zhao, Marshall Wu, Binbin Li, Kamesh Madduri |
| 2024 | Measuring User Understanding in Dialogue-Based xAI Systems. | Dimitry Mindlin, Amelie Sophie Robrecht, Michael Morasch, Philipp Cimiano |
| 2024 | Augmented Prediction of a True Class for Positive Unlabeled Data Under Selection Bias. | Jan Mielniczuk, Adam Wawrzenczyk |
| 2024 | CODD: A Decision Diagram-Based Solver for Combinatorial Optimization. | Laurent Michel, Willem-Jan van Hoeve |
| 2024 | Fairness in Repeated House Allocation. | Karl Jochen Micheel, Analle Wilczynski |
| 2024 | MPT4LM: Multi-Modal Prompt Tuning Makes Pre-Trained Large Language Models Better Vision-Language Learners. | Yongzhu Miao, Jintao Tang, Shasha Li, Ting Wang |
| 2024 | Predicting Solar Heat Production to Optimize Renewable Energy Usage. | Tatiana Boura, Natalia Koliou, George Meramveliotakis, Stasinos Konstantopoulos, George Kosmadakis |
| 2024 | DSPrompt: Prompt Learning with Relation Abstraction and Context Injection for Distant Supervised Relation Extraction. | Zechen Meng, Wenbin Zhang, Mankun Zhao, Tianyi Xu, Jian Yu, Ruiguo Yu, Mei Yu |
| 2024 | TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. | Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou |
| 2024 | Error-Driven Uncertainty Aware Training. | Pedro Mendes, Paolo Romano, David Garlan |
| 2024 | Distilling the Effects of Language Model Contamination. | Behzad Mehrbakhsh, Fernando Martnez-Plumed, Jos Hernndez-Orallo |
| 2024 | Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection. | Xingyu Ma, Xin Tian, Lingxiang Wu, Xuepeng Wang, Xueming Tang, Jinqiao Wang |
| 2024 | Understanding XAI Through the Philosopher's Lens: A Historical Perspective. | Martina Mattioli, Antonio Emanuele Cin, Marcello Pelillo |
| 2024 | Backward Compatibility in Attributive Explanation and Enhanced Model Training Method. | Ryuta Matsuno |
| 2024 | Canonical Decision Diagrams Modulo Theories. | Massimo Michelutti, Gabriele Masina, Giuseppe Spallitta, Roberto Sebastiani |
| 2024 | Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations. | Luca Marzari, Francesco Leofante, Ferdinando Cicalese, Alessandro Farinelli |
| 2024 | Back to the Future: Symbolic Reasoning to Combat Malicious Use of Social Media. | Maria Vanina Martinez |
| 2024 | From Document to Program Embeddings: Can Distributional Hypothesis Really Be Used on Programming Languages? | Thibaut Martinet, Guillaume Cleuziou, Matthieu Exbrayat, Frdric Flouvat |
| 2024 | Decision-Focused Learning to Predict Action Costs for Planning. | Jayanta Mandi, Marco Foschini, Daniel Hller, Sylvie Thibaux, Jrg Hoffmann, Tias Guns |
| 2024 | PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams. | Pranavkumar Mallela, Vinay Kumar, Shashi Shekhar Jha, Shweta Jain |
| 2024 | Deep Generative Models for Subgraph Prediction. | Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia, Oliver Schulte |