Witbrock, Michael

20 publications

AAAI 2025 Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

NeurIPSW 2024 Counterfactual Causal Inference in Natural Language with Large Language Models Gael Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie

ICLRW 2024 Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

IJCAI 2024 Large Language Models Are Not Strong Abstract Reasoners Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie

ICLRW 2024 Large Language Models Are Not Strong Abstract Reasoners yet Gael Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie

AAAI 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock

NeurIPSW 2024 Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gael Gendron, Michael Witbrock, Gillian Dobbie

AAAI 2024 Robust Node Classification on Graph Data with Graph and Label Noise Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock

IJCAI 2023 Disentanglement of Latent Representations via Causal Interventions Gaël Gendron, Michael Witbrock, Gillian Dobbie

TMLR 2023 Teaching Smaller Language Models to Generalise to Unseen Compositional Questions Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle

AAAI 2022 DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu

IJCAI 2022 Interpretable AMR-Based Question Decomposition for Multi-Hop Question Answering Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle

AAAI 2021 A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue

AAAI 2019 A Sequential Set Generation Method for Predicting Set-Valued Outputs Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock

AAAI 2019 Improving Natural Language Inference Using External Knowledge in the Science Questions Domain Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock

AISTATS 2018 Random Warping Series: A Random Features Method for Time-Series Embedding Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock

NeurIPS 2017 Dilated Recurrent Neural Networks Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A Hasegawa-Johnson, Thomas S. Huang

AAAI 2005 A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment Blake Shepard, Cynthia Matuszek, C. Bruce Fraser, William Wechtenhiser, David Crabbe, Zelal Güngördü, John Jantos, Todd Hughes, Larry Lefkowitz, Michael Witbrock, Douglas B. Lenat, Erik Larson

AAAI 2005 Searching for Common Sense: Populating Cyc™ from the Web Cynthia Matuszek, Michael Witbrock, Robert C. Kahlert, John Cabral, David Schneider, Purvesh Shah, Douglas B. Lenat

IJCAI 2003 Inducing Criteria for Lexicalization Parts of Speech Using the Cyc KB Tom O'Hara, Michael Witbrock, Bjørn Aldag, Stefano Bertolo, Nancy Salay, Jon Curtis, Kathy Panton