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Michael Witbrock

Michael J. Witbrock

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affiliation: University of Auckland, School of Computer Science, Auckland, New Zealand
affiliation (former): IBM Research
affiliation (former, PhD): Carnegie Mellon University, Pittsburgh, USA

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2000
[b1]
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Michael J. Witbrock:
Learning Models of Speaker Variation. Carnegie Mellon University, USA, 2000

Journal Articles

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2025
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Michael Witbrock, Allan McCay:
Don't forget the upside of neurotechnology. AI Soc. 40(5): 3375-3377 (2025)
[j16]
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Haofen Wang, Arijit Khan, Jun Liu, Michael Witbrock:
Guest Editorial: Special issue on "Neuro-Symbolic Intelligence: large Language Model enabled Knowledge Engineering". World Wide Web (WWW) 28(1): 14 (2025)
2024
[j15]
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Stefan Fuchs, Johannes Dimyadi, Michael Witbrock, Robert Amor:
Intermediate representations to improve the semantic parsing of building regulations. Adv. Eng. Informatics 62: 102735 (2024)
[j14]
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Yonghua Zhu, Jincheng Huang, Yang Chen, Robert Amor, Michael Witbrock:
A graph transformer defence against graph perturbation by a flexible-pass filter. Inf. Fusion 107: 102296 (2024)
[j13]
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Feng Hou, Ruili Wang, See-Kiong Ng, Fangyi Zhu, Michael Witbrock, Steven F. Cahan, Lily Chen, Xiaoyun Jia:
Anisotropic span embeddings and the negative impact of higher-order inference for coreference resolution: An empirical analysis. Nat. Lang. Eng. 30(6): 1301-1322 (2024)
2023
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Feng Hou, Ruili Wang, See-Kiong Ng, Michael Witbrock, Fangyi Zhu, Xiaoyun Jia:
Exploiting anonymous entity mentions for named entity linking. Knowl. Inf. Syst. 65(3): 1221-1242 (2023)
[j11]
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Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue:
Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 738-751 (2023)
[j10]
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Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle:
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions. Trans. Mach. Learn. Res. 2023 (2023)
2022
[j9]
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Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, Te Taka Keegan, Joshua Bensemann, Michael Witbrock, Varsha Asrani, David Reith:
Data and model bias in artificial intelligence for healthcare applications in New Zealand. Frontiers Comput. Sci. 4 (2022)
[j8]
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Joshua Bensemann, Qiming Bao, Gaël Gendron, Tim Hartill, Michael Witbrock:
Relating Blindsight and AI: A Review. J. Artif. Intell. Conscious. 9(1): 111-125 (2022)
2017
[j7]
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Luka Bradesko, Michael Witbrock, Janez Starc, Zala Herga, Marko Grobelnik, Dunja Mladenic:
Curious Cat-Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition. ACM Trans. Inf. Syst. 35(4): 33:1-33:46 (2017)
2016
[j6]
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Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang:
Reports of the 2016 AAAI Workshop Program. AI Mag. 37(3): 99-108 (2016)
2010
[j5]
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Douglas B. Lenat, Michael Witbrock, David Baxter, Eugene Blackstone, Chris Deaton, Dave Schneider, Jerry Scott, Blake Shepard:
Harnessing Cyc to Answer Clinical Researchers' Ad Hoc Queries. AI Mag. 31(3): 13-32 (2010)
2004
[j4]
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Noah S. Friedland, Paul G. Allen, Gavin Matthews, Michael Witbrock, David Baxter, Jon Curtis, Blake Shepard, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, Eddie Mönch, Henrik Oppermann, Dirk Wenke, David J. Israel, Vinay K. Chaudhri, Bruce W. Porter, Ken Barker, James Fan, Shaw Yi Chaw, Peter Z. Yeh, Dan Tecuci, Peter Clark:
Project Halo: Towards a Digital Aristotle. AI Mag. 25(4): 29-48 (2004)
1998
[j3]
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Michael J. Witbrock, Alexander G. Hauptmann:
Speech Recognition for a Digital Video Library. J. Am. Soc. Inf. Sci. 49(7): 619-632 (1998)
1995
[j2]
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Alexander G. Hauptmann, Michael J. Witbrock, Michael G. Christel:
News-on-Demand: An Application of Informedia® Technology. D Lib Mag. 1(3) (1995)
1990
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Michael Witbrock, Marco Zagha:
An implementation of backpropagation learning on GF11, a large SIMD parallel computer. Parallel Comput. 14(3): 329-346 (1990)

Conference and Workshop Papers

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2025
[c80]
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Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu:
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. AAAI 2025: 28955-28963
2024
[c79]
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Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock:
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables. AAAI 2024: 11407-11415
[c78]
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Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock:
Robust Node Classification on Graph Data with Graph and Label Noise. AAAI 2024: 17220-17227
[c77]
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Neset Özkan Tan, Niket Tandon, David Wadden, Oyvind Tafjord, Mark Gahegan, Michael Witbrock:
Faithful Reasoning over Scientific Claims. AAAI Spring Symposia 2024: 263-272
[c76]
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Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu:
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. ACL (Findings) 2024: 5914-5934
[c75]
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Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu, Patrice Delmas:
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. AAMAS 2024: 2276-2278
[c74]
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Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael J. Witbrock, Gillian Dobbie:
Can Large Language Models Learn Independent Causal Mechanisms? EMNLP 2024: 6678-6701
[c73]
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Nathan Young, Michael Witbrock:
Transformers as Approximations of Solomonoff Induction. ICONIP (1) 2024: 16-25
[c72]
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Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie:
Large Language Models Are Not Strong Abstract Reasoners. IJCAI 2024: 6270-6278
[c71]
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Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock:
Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method. IJCNN 2024: 1-8
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Qianqian Qi, Lin Ni, Zhongsheng Wang, Libo Zhang, Jiamou Liu, Michael Witbrock:
Epic-Level Text Generation with LLM through Auto-prompted Reinforcement Learning. IJCNN 2024: 1-8
[c69]
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Jiaxuan Wang, Ruigeng Wang, Gaël Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Gibrán Alfonso Zazueta Cruz, Stephen Hallett, Mitchell Rogers, Alexander Woodward, Alfonso Gastelum Strozzi, Riki Mitchel, Mengjie Zhang, Michael Witbrock, Patrice Delmas:
Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks. IVCNZ 2024: 1-6
2023
[c68]
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Yiping Liu, Bo Yan, Bo Zhao, Hongyi Su, Yang Chen, Michael Witbrock:
Efficient size-prescribed k-core search. ASONAM 2023: 271-275
[c67]
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Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu:
Learning Density-Based Correlated Equilibria for Markov Games. AAMAS 2023: 652-660
[c66]
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Yang Chen, Libo Zhang, Jiamou Liu, Michael Witbrock:
Adversarial Inverse Reinforcement Learning for Mean Field Games. AAMAS 2023: 1088-1096
[c65]
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Liang Tang, Qianqian Qi, Qinghua Shang, Yuguang Cai, Jiamou Liu, Michael Witbrock, Kaokao Lv:
Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework. AusDM 2023: 75-89
[c64]
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Neset Tan, Trung Nguyen, Joshua Bensemann, Alex Yuxuan Peng, Qiming Bao, Yang Chen, Mark Gahegan, Michael Witbrock:
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking. EACL 2023: 2644-2656
[c63]
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Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen:
Neuromodulation Gated Transformer. Tiny Papers @ ICLR 2023
[c62]
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Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock:
A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge. Tiny Papers @ ICLR 2023
[c61]
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Gaël Gendron, Michael Witbrock, Gillian Dobbie:
Disentanglement of Latent Representations via Causal Interventions. IJCAI 2023: 3239-3247
[c60]
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Yonghua Zhu, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock:
Chain of Propagation Prompting for Node Classification. ACM Multimedia 2023: 3012-3020
[c59]
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  - conf/mm/KeesingKYW23
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Aaron Keesing, Yun Sing Koh, Vithya Yogarajan, Michael Witbrock:
Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research. ACM Multimedia 2023: 9693-9696
2022
[c58]
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Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu:
DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. AAAI 2022: 12826-12834
[c57]
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Nathan Young, Qiming Bao, Joshua Bensemann, Michael Witbrock:
AbductionRules: Training Transformers to Explain Unexpected Inputs. ACL (Findings) 2022: 218-227
[c56]
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Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle:
Prompt-based Conservation Learning for Multi-hop Question Answering. COLING 2022: 1791-1800
[c55]
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Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle:
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. IJCAI 2022: 4093-4099
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Qianqian Qi, Zhenyun Deng, Yonghua Zhu, Lia Jisoo Lee, Michael Witbrock, Jiamou Liu:
TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs. AACL/IJCNLP (Findings) 2022: 176-187
[c53]
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Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu:
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. NeSy 2022: 202-217
2021
[c52]
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Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI 2021: 6279-6287
[c51]
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Aaron Keesing, Yun Sing Koh, Michael Witbrock:
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech. Interspeech 2021: 3415-3419
2019
[c50]
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Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. AAAI 2019: 2835-2842
[c49]
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Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI 2019: 7208-7215
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Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock:
Answering Science Exam Questions Using Query Reformulation with Background Knowledge. AKBC 2019
[c47]
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Qi Lei, Lingfei Wu, Pin-Yu Chen, Alex Dimakis, Inderjit S. Dhillon, Michael Witbrock:
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification. SysML 2019
[c46]
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Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock:
Graph Enhanced Cross-Domain Text-to-SQL Generation. TextGraphs@EMNLP 2019: 159-163
2018
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Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL 2018: 60-70
[c44]
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Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock:
Random Warping Series: A Random Features Method for Time-Series Embedding. AISTATS 2018: 793-802
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Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CVPR 2018: 1654-1663
[c42]
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Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
An Interface for Annotating Science Questions. EMNLP (Demonstration) 2018: 102-107
[c41]
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Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. EMNLP 2018: 4524-4534
[c40]
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Hima P. Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, Srikanta Bedathur, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez-Muro, Ryan Musa, Michael Witbrock:
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. ISWC (P&D/Industry/BlueSky) 2018
2017
[c39]
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Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. NIPS 2017: 77-87
2016
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Luka Bradesko, Janez Starc, Dunja Mladenic, Marko Grobelnik, Michael Witbrock:
Curious cat conversational crowd based and context aware knowledge acquisition chat bot. IEEE Conf. on Intelligent Systems 2016: 239-252
2015
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Michael Witbrock, Karen Pittman, Jessica Moszkowicz, Andrew Beck, Dave Schneider, Douglas B. Lenat:
Cyc and the Big C: Reading that Produces and Uses Hypotheses about Complex Molecular Biology Mechanisms. AAAI Workshop: Scholarly Big Data 2015
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Michael Witbrock:
Dense Models from Videos: Can YouTube be the Font of All Knowledge Bases? ICMR 2015: 1
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Dave Schneider, Michael Witbrock:
Semantic Construction Grammar: Bridging the NL / Logic Divide. WWW (Companion Volume) 2015: 673-678
2014
[c34]
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Hui Cheng, Jingen Liu, Ishani Chakraborty, Guang Chen, Qiguang Liu, Mohamed Elhoseiny, Gary Gan, Ajay Divakaran, Harpreet S. Sawhney, James Allan, John Foley, Mubarak Shah, Afshin Dehghan, Michael Witbrock, Jon Curtis:
SRI-Sarnoff AURORA System at TRECVID 2014 Multimedia Event Detection and Recounting. TRECVID 2014
2013
[c33]
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Jingen Liu, Hui Cheng, Omar Javed, Qian Yu, Ishani Chakraborty, Weiyu Zhang, Ajay Divakaran, Harpreet S. Sawhney, James Allan, R. Manmatha, John Foley, Mubarak Shah, Afshin Dehghan, Michael Witbrock, Jon Curtis, Gerald Friedland:
SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting. TRECVID 2013
2012
[c32]
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Hui Cheng, Jingen Liu, Saad Ali, Omar Javed, Qian Yu, Amir Tamrakar, Ajay Divakaran, Harpreet S. Sawhney, R. Manmatha, James Allan, Alexander G. Hauptmann, Mubarak Shah, Subhabrata Bhattacharya, Afshin Dehghan, Gerald Friedland, Benjamin Elizalde, Trevor Darrell, Michael Witbrock, Jon Curtis:
SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. TRECVID 2012
2011
[c31]
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Hui Cheng, Amir Tamrakar, Saad Ali, Qian Yu, Omar Javed, Jingen Liu, Ajay Divakaran, Harpreet S. Sawhney, Alexander G. Hauptmann, Mubarak Shah, Subhabrata Bhattacharya, Michael Witbrock, Jon Curtis, Gerald Friedland, Robert Mertens, Trevor Darrell, R. Manmatha, James Allan:
Team SRI-Sarnoff's AURORA System @ TRECVID 2011. TRECVID 2011
[c30]
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Matthias Assel, Alexey Cheptsov, Georgina Gallizo, Irene Celino, Daniele Dell'Aglio, Luka Bradesko, Michael Witbrock, Emanuele Della Valle:
Large knowledge collider: a service-oriented platform for large-scale semantic reasoning. WIMS 2011: 41
2009
[c29]
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Jon Curtis, David Baxter, Peter Wagner, John Cabral, Dave Schneider, Michael Witbrock:
Methods of Rule Acquisition in the TextLearner System. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 22-28
[c28]
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Rohit Kumar, Carolyn P. Rosé, Michael J. Witbrock:
Building Conversational Agents with Basilica. HLT-NAACL (Demos) 2009: 5-8
2008
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Dieter Fensel, Frank van Harmelen, Bo Andersson, Paul Brennan, Hamish Cunningham, Emanuele Della Valle, Florian Fischer, Zhisheng Huang, Atanas Kiryakov, Tony Kyung-il Lee, Lael Schooler, Volker Tresp, Stefan Wesner, Michael Witbrock, Ning Zhong:
Towards LarKC: A Platform for Web-Scale Reasoning. ICSC 2008: 524-529
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Michael Witbrock:
Thinking Big - AI at Web Scale. Web Intelligence 2008: 32
2007
[c25]
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Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael Witbrock:
Autonomous Classification of Knowledge into an Ontology. FLAIRS 2007: 140-145
[c24]
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Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, Michael Witbrock:
Guiding Inference with Policy Search Reinforcement Learning. FLAIRS 2007: 146-151
2006
[c23]
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Robert C. Kahlert, Benjamin Rode, David Baxter, Michael Witbrock, Kenneth D. Forbus, Larry Birnbaum, Purvesh Shah, Dave Schneider, Kathy Panton, Alan Belasco, David Crabbe:
Tracking Quantity Fluctuations Using STT. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection 2006: 77-84
[c22]
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Cynthia Matuszek, John Cabral, Michael Witbrock, John DeOliveira:
An Introduction to the Syntax and Content of Cyc. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering 2006: 44-49
[c21]
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Purvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjørn Aldag, David Baxter, John Cabral, Michael Witbrock, Jon Curtis:
Automated Population of Cyc: Extracting Information about Named-entities from the Web. FLAIRS 2006: 153-158
2005
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Cynthia Matuszek, Michael Witbrock, Robert C. Kahlert, John Cabral, David Schneider, Purvesh Shah, Douglas B. Lenat:
Searching for Common Sense: Populating Cyc™ from the Web. AAAI 2005: 1430-1435
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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:
A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment. AAAI 2005: 1563-1568
[c18]
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Larry Birnbaum, Kenneth D. Forbus, Earl J. Wagner, James Baker, Michael Witbrock:
Analogy, Intelligent IR, and Knowledge Integration for Intelligence Analysis. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 32-37
[c17]
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Michael Witbrock, Cynthia Matuszek, Antoine Brusseau, Robert C. Kahlert, C. Bruce Fraser, Douglas B. Lenat:
Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors 2005: 99-105
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John Cabral, Robert C. Kahlert, Cynthia Matuszek, Michael Witbrock, Brett Summers:
Converting Semantic Meta-knowledge into Inductive Bias. ILP 2005: 38-50
2004
[c15]
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Tom O'Hara, Stefano Bertolo, Michael Witbrock, Bjørn Aldag, Jon Curtis, Kathy Panton, Dave Schneider, Nancy Salay:
Inferring parts of speech for lexical mappings via the Cyc KB. COLING 2004
[c14]
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Noah S. Friedland, Paul G. Allen, Michael Witbrock, Gavin Matthews, Nancy Salay, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, David J. Israel, Vinay K. Chaudhri, Bruce W. Porter, Ken Barker, Peter Clark:
Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems. KR 2004: 507-515
[c13]
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Michael Witbrock, Kathy Panton, Stephen L. Reed, Dave Schneider, Bjørn Aldag, Mike Reimers, Stefano Bertolo:
Automated OWL Annotation Assisted by a Large Knowledge Base. SemAnnot@ISWC 2004
2003
[c12]
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Tom O'Hara, Michael Witbrock, Bjørn Aldag, Stefano Bertolo, Nancy Salay, Jon Curtis, Kathy Panton:
Inducing criteria for lexicalization parts of speech using the Cyc KB. IJCAI 2003: 1496-
2000
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Michele Banko, Vibhu O. Mittal, Michael J. Witbrock:
Headline Generation Based on Statistical Translation. ACL 2000: 318-325
1999
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Matthew Siegler, Michael Witbrock:
Improving the suitability of imperfect transcriptions for information retrieval from spoken documents. ICASSP 1999: 505-508
[c9]
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Michael J. Witbrock, Vibhu O. Mittal:
Ultra-Summarization: A Statistical Approach to Generating Highly Condensed Non-Extractive Summaries (poster abstract). SIGIR 1999: 315-316
1998
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Alexander G. Hauptmann, Michael J. Witbrock:
Story Segmentation and Detection of Commercials in Broadcast News Video. ADL 1998: 168-179
[c7]
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Matthew Siegler, Adam L. Berger, Michael J. Witbrock, Alexander G. Hauptmann:
Experiments in Spoken Document Retrieval at CMU. TREC 1998: 264-270
1997
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Alexander G. Hauptmann, Michael J. Witbrock, Michael G. Christel:
Artificial Intelligence Techniques in the Interface to a Digital Video Library. CHI Extended Abstracts 1997: 2-3
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Michael J. Witbrock, Alexander G. Hauptmann:
Using Words and Phonetic Strings for Efficient Information Retrieval from Imperfectly Transcribed Spoken Documents. ACM DL 1997: 30-35
[c4]
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Matthew Siegler, Michael J. Witbrock, Seán Slattery, Kristie Seymore, R. E. Jones, Alexander G. Hauptmann:
Experiments in Spoken Document Retrieval at CMU. TREC 1997: 291-302
1995
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Alexander G. Hauptmann, Michael J. Witbrock, Alexander I. Rudnicky:
Speech for Multimedia Information Retrieval. ACM Symposium on User Interface Software and Technology 1995: 79-80
1992
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Michael Witbrock, Patrick Haffner:
Rapid connectionist speaker adaptation. ICASSP 1992: 453-456
1989
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Michael A. Franzini, Michael J. Witbrock, Kai-Fu Lee:
A connectionist approach to continuous speech recognition. ICASSP 1989: 425-428

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2009
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David Baxter, Bryan Klimt, Marko Grobelnik, David Schneider, Michael Witbrock, Dunja Mladenic:
Capturing Document Semantics for Ontology Generation and Document Summarization. Semantic Knowledge Management 2009: 141-154
2006
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Kathy Panton, Cynthia Matuszek, Douglas B. Lenat, Dave Schneider, Michael Witbrock, Nick Siegel, Blake Shepard:
Common Sense Reasoning - From Cyc to Intelligent Assistant. Ambient Intelligence in Everyday 2006: 1-31

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2025
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Zhongzhi Shi, Michael Witbrock, Qi Tian:
Intelligence Science V - 6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25-28, 2024, Proceedings. IFIP Advances in Information and Communication Technology 720, Springer 2025, ISBN 978-3-031-71252-4 [contents]
2017
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Sarven Capadisli, Franck Cotton, Xin Luna Dong, Ramanathan V. Guha, Armin Haller, Pascal Hitzler, Evangelos Kalampokis, Mayank Kejriwal, Freddy Lécué, D. Sivakumar, Pedro A. Szekely, Raphaël Troncy, Michael Witbrock:
Joint Proceedings of the International Workshops on Hybrid Statistical Semantic Understanding and Emerging Semantics, and Semantic Statistics co-located with 16th International Semantic Web Conference, HybridSemStats@ISWC 2017, Vienna, Austria October 22nd, 2017. CEUR Workshop Proceedings, CEUR-WS.org 2017 [contents]
2016
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Blaz Fortuna, Marko Grobelnik, Estevam R. Hruschka Jr., Michael Witbrock:
Knowledge Extraction from Text, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Technical Report WS-16-10, AAAI Press 2016 [contents]

Reference Works

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2017
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Marko Grobelnik, Dunja Mladenic, Michael Witbrock:
Text Mining for the Semantic Web. Encyclopedia of Machine Learning and Data Mining 2017: 1262-1263
2013
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Michael Witbrock:
Infrastructure and Architecture for Human Computer Intelligent Collaboration. Handbook of Human Computation 2013: 505-508
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Michael Witbrock, Luka Bradesko:
Conversational Computation. Handbook of Human Computation 2013: 531-543
2010
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Marko Grobelnik, Dunja Mladenic, Michael Witbrock:
Text Mining for the Semantic Web. Encyclopedia of Machine Learning 2010: 978-980

Informal and Other Publications

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2025
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Andrey Borro, Patricia J. Riddle, Michael W. Barley, Michael J. Witbrock:
Large Language Models as Common-Sense Heuristics. CoRR abs/2501.18816 (2025)
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Andrey Borro, Patricia J. Riddle, Michael W. Barley, Michael J. Witbrock:
Bridging the Reasoning Gap: Small LLMs Can Plan with Generalised Strategies. CoRR abs/2501.18817 (2025)
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Gaël Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie:
Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds. CoRR abs/2505.14396 (2025)
2024
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Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie:
Can Large Language Models Learn Independent Causal Mechanisms? CoRR abs/2402.02636 (2024)
[i44]
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Yiping Liu, Bo Yan, Bo Zhao, Hongyi Su, Yang Chen, Michael Witbrock:
Efficient size-prescribed k-core search. CoRR abs/2403.09214 (2024)
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Mitchell Rogers, Kobe Knowles, Gaël Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Mihailo Azhar, Padriac O'Leary, Simon Eyre, Michael Witbrock, Patrice Delmas:
Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats. CoRR abs/2406.13002 (2024)
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Stefan Fuchs, Michael Witbrock, Johannes Dimyadi, Robert Amor:
Using Large Language Models for the Interpretation of Building Regulations. CoRR abs/2407.21060 (2024)
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Nathan Young, Michael Witbrock:
Transformers As Approximations of Solomonoff Induction. CoRR abs/2408.12065 (2024)
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Minjung Kim, Yusuke Hioka, Michael Witbrock:
Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis. CoRR abs/2410.04703 (2024)
[i39]
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Gaël Gendron, Michael Witbrock, Gillian Dobbie:
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks. CoRR abs/2410.06349 (2024)
[i38]
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Gaël Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie:
Counterfactual Causal Inference in Natural Language with Large Language Models. CoRR abs/2410.06392 (2024)
2023
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Gaël Gendron, Michael Witbrock, Gillian Dobbie:
A Survey of Methods, Challenges and Perspectives in Causality. CoRR abs/2302.00293 (2023)
[i36]
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  - journals/corr/abs-2302-00869
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Gaël Gendron, Michael Witbrock, Gillian Dobbie:
Disentanglement of Latent Representations via Sparse Causal Interventions. CoRR abs/2302.00869 (2023)
[i35]
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Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu:
Learning Density-Based Correlated Equilibria for Markov Games. CoRR abs/2302.08001 (2023)
[i34]
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Neset Özkan Tan, Alex Yuxuan Peng, Joshua Bensemann, Qiming Bao, Tim Hartill, Mark Gahegan, Michael Witbrock:
Input-length-shortening and text generation via attention values. CoRR abs/2303.07585 (2023)
[i33]
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Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen:
Neuromodulation Gated Transformer. CoRR abs/2305.03232 (2023)
[i32]
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Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu:
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text. CoRR abs/2305.12599 (2023)
[i31]
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Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie:
Large Language Models Are Not Abstract Reasoners. CoRR abs/2305.19555 (2023)
[i30]
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Mitchell Rogers, Gaël Gendron, David Arturo Soriano Valdez, Mihailo Azhar, Yang Chen, Shahrokh Heidari, Caleb Perelini, Padriac O'Leary, Kobe Knowles, Izak Tait, Simon Eyre, Michael Witbrock, Patrice Delmas:
Meerkat Behaviour Recognition Dataset. CoRR abs/2306.11326 (2023)
[i29]
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Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle:
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions. CoRR abs/2308.00946 (2023)
[i28]
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Tim Hartill, Diana Benavides-Prado, Michael Witbrock, Patricia J. Riddle:
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval. CoRR abs/2308.04711 (2023)
[i27]
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Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu:
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. CoRR abs/2309.10444 (2023)
[i26]
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Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu:
A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks. CoRR abs/2310.09430 (2023)
[i25]
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Tim Hartill, Joshua Bensemann, Michael Witbrock, Patricia J. Riddle:
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation? CoRR abs/2311.12337 (2023)
[i24]
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Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu, Patrice Delmas:
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. CoRR abs/2312.14333 (2023)
2022
[i23]
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Joshua Bensemann, Qiming Bao, Gaël Gendron, Tim Hartill, Michael Witbrock:
Relating Blindsight and AI: A Review. CoRR abs/2201.00616 (2022)
[i22]
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Nathan Young, Qiming Bao, Joshua Bensemann, Michael Witbrock:
AbductionRules: Training Transformers to Explain Unexpected Inputs. CoRR abs/2203.12186 (2022)
[i21]
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Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle:
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. CoRR abs/2206.08486 (2022)
[i20]
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Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu:
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. CoRR abs/2207.14000 (2022)
[i19]
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Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle:
Prompt-based Conservation Learning for Multi-hop Question Answering. CoRR abs/2209.06923 (2022)
[i18]
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Michael Witbrock, Patrick Haffner:
Rapid Connectionist Speaker Adaptation. CoRR abs/2211.08978 (2022)
2021
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Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue:
Learning to Guide a Saturation-Based Theorem Prover. CoRR abs/2106.03906 (2021)
[i16]
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Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu:
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions. CoRR abs/2111.10058 (2021)
[i15]
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Dave Schneider, Michael Witbrock:
Semantic Construction Grammar: Bridging the NL / Logic Divide. CoRR abs/2112.05256 (2021)
2019
[i14]
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Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock:
High-Fidelity Vector Space Models of Structured Data. CoRR abs/1901.02565 (2019)
[i13]
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Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. CoRR abs/1903.05153 (2019)
[i12]
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  - journals/corr/abs-1911-02065
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Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR abs/1911.02065 (2019)
2018
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Michael Witbrock, Marco Zagha:
An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer. CoRR abs/1801.01554 (2018)
[i10]
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Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock:
D2KE: From Distance to Kernel and Embedding. CoRR abs/1802.04956 (2018)
[i9]
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  - https://dblp.org/rec/journals/corr/abs-1805-02704
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CoRR abs/1805.02704 (2018)
[i8]
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  - journals/corr/abs-1806-00358
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Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR abs/1806.00358 (2018)
[i7]
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  - journals/corr/abs-1809-05259
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  - https://dblp.org/rec/journals/corr/abs-1809-05259
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock:
Random Warping Series: A Random Features Method for Time-Series Embedding. CoRR abs/1809.05259 (2018)
[i6]
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  - journals/corr/abs-1809-05724
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  - https://dblp.org/rec/journals/corr/abs-1809-05724
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR abs/1809.05724 (2018)
[i5]
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  - journals/corr/abs-1809-05726
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Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock:
Answering Science Exam Questions Using Query Rewriting with Background Knowledge. CoRR abs/1809.05726 (2018)
[i4]
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  - journals/corr/abs-1811-01713
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  - https://dblp.org/rec/journals/corr/abs-1811-01713
Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. CoRR abs/1811.01713 (2018)
[i3]
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  - journals/corr/abs-1812-00151
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Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock:
Discrete Attacks and Submodular Optimization with Applications to Text Classification. CoRR abs/1812.00151 (2018)
2017
[i2]
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  - journals/corr/abs-1710-02224
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Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. CoRR abs/1710.02224 (2017)
2016
[i1]
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  dblp key:
  - journals/corr/SharmaWG16
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  - https://dblp.org/rec/journals/corr/SharmaWG16
Abhishek Sharma, Michael Witbrock, Keith Goolsbey:
Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach. CoRR abs/1603.04402 (2016)

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