| 2026 | OMEGA: An Ontology-Driven Tool for Explaining Multi-Agent Path Finding. | Bharath Muppasani, Ritirupa Dey, Biplav Srivastava, Vignesh Narayanan |
| 2026 | A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis. | Wenxuan Mu, Jinzhong Ning, Di Zhao, Yijia Zhang |
| 2026 | Hearing More with Less: Multi-Modal Retrieval-and-Selection Augmented Conversational LLM-Based ASR. | Bingshen Mu, Hexin Liu, Hongfei Xue, Kun Wei, Lei Xie |
| 2026 | CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation. | Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng |
| 2026 | SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences. | Arpan Mukherjee, Marcello Bullo, Deniz Gndz |
| 2026 | Aligning Machiavellian Agents: Behavior Steering via Test-Time Policy Shaping. | Dena Mujtaba, Brian Hu, Anthony Hoogs, Arslan Basharat |
| 2026 | ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval. | Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Zhichao Xu, Zhan Su, Jian-Yun Nie |
| 2026 | QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism. | Xunyue Mo, Weibin Wu, Qingrui Tu, Hang Wang, Junxi He, Zibin Zheng |
| 2026 | Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory. | Mark Moussa, Amber V. Young, Brianna Isola, Vasuda Trehan, Michael D. Himes, Nicholas Wogan, Giada N. Arney |
| 2026 | Rational Revision of Group Intentions. | Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder |
| 2026 | Improving Low-Resource Translation with Dictionary-Guided Fine-Tuning and RL: A Spanish-to-Wayuunaiki Study. | Manuel Mosquera, Melissa Robles, Johan R. Portela, Rubn Manrique |
| 2026 | BREPS: Bounding-Box Robustness Evaluation of Promptable Segmentation. | Andrey Moskalenko, Danil Kuznetsov, Irina Dudko, Anastasiia Iasakova, Nikita Boldyrev, Denis Shepelev, Andrei Spiridonov, Andrey Kuznetsov, Vlad Shakhuro |
| 2026 | Textual Self-Attention Network: Test-Time Preference Optimization Through Textual Gradient-Based Attention. | Shibing Mo, Haoyang Ruan, Kai Wu, Jing Liu |
| 2026 | Cumulant Attention in Vision Transformers (Student Abstract). | Yuto Morimoto, Zhipeng Wang, Koji Yasuda |
| 2026 | PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations. | Gao Mo, Naveen Janaki Raman, Megan Chai, Cindy Peng, Shannon Pagdon, Nev Jones, Hong Shen, Margaret Swarbrick, Fei Fang |
| 2026 | Inference Offloading for Cost-Sensitive Binary Classification at the Edge. | Vishnu Narayanan Moothedath, Umang Agarwal, Umeshraja N, James Gross, Jaya Prakash Champati, Sharayu Moharir |
| 2026 | Effective Strategies for Teaching Machine Learning. | Firas Moosvi, Fraida Fund, Varada Kolhatkar, Meiying Qin, Thomas W. Price, Lisa Zhang |
| 2026 | Games of Representation: Developing Card-Based Activities to Teach About Representation and Bias in AI Datasets. | Katherine S. Moore, Helen Zhang, Irene Lee |
| 2026 | Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning. | Hyung-Jun Moon, Sung-Bae Cho |
| 2026 | Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows. | Daniel Mas Montserrat, Ray Verma, Mriam Barrabs, Francisco M. de la Vega, Carlos D. Bustamante, Alexander G. Ioannidis |
| 2026 | Towards Robust Human-AI Decision-Making via Learning-to-Defer. | Yannis Montreuil |
| 2026 | Continual Out-of-Distribution Detection with Analytic Neural Collapse. | Saleh Momeni, Changnan Xiao, Bing Liu |
| 2026 | Bant: Byzantine Antidote via Trial Function and Trust Scores. | Gleb Molodtsov, Daniil Medyakov, Sergey Skorik, Nikolas Khachaturov, Shahane Tigranyan, Vladimir Aletov, Aram Avetisyan, Martin Takc, Aleksandr Beznosikov |
| 2026 | db-ECBS: Interaction-Aware Multirobot Kinodynamic Motion Planning (Abstract Reprint). | Akmaral Moldagalieva, Joaquim Ortiz de Haro, Wolfgang Hnig |
| 2026 | Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling. | Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton |