Maria Chang

According to our database, Maria Chang authored at least 31 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reasoning about concepts with LLMs: Inconsistencies abound.

Rosario Uceda-Sosa, Karthikeyan Natesan Ramamurthy, Maria Chang, Moninder Singh

CoRR, 2024

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.

Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney

CoRR, 2024

CHRONOS: A Schema-Based Event Understanding and Prediction System.

Maria Chang, Achille Fokoue, Rosario Uceda-Sosa, Parul Awasthy, Ken Barker, Sadhana Kumaravel, Oktie Hassanzadeh, Elton F. S. Soares, Tian Gao, Debarun Bhattacharjya, Radu Florian, Salim Roukos

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases.

Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam

CoRR, 2022

Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description.

Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius

Proceedings of the IEEE International Conference on Data Mining, 2022

SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases.

Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases.

Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam

CoRR, 2021

STONE: Signal Temporal Logic Neural Network for Time Series Classification.

Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma, Rosario Uceda-Sosa

Proceedings of the 2021 International Conference on Data Mining, 2021

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering.

Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.

Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu

CoRR, 2020

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.

Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

High-Fidelity Vector Space Models of Structured Data.

Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock

CoRR, 2019

Graph Enhanced Cross-Domain Text-to-SQL Generation.

Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Answering Science Exam Questions Using Query Reformulation with Background Knowledge.

Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Answering Science Exam Questions Using Query Rewriting with Background Knowledge.

Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock

CoRR, 2018

Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects.

Patrick Watson, Tengfei Ma, Ravi Tejwani, Maria Chang, Jae-wook Ahn, Sharad Sundararajan

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Scalable Reasoning Infrastructure for Large Scale Knowledge Bases.

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

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Research Questions to Support Conversational Learning in the Era of Ubiquitous, Mobile Agents.

Bob Schloss, Maria D. Chang, Aditya Vempaty, Arup Acharya, Ravindranath Kokku, Lorin Wilde, Nirmal Mukhi

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

An Interface for Annotating Science Questions.

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

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Preliminary Evaluations of a Dialogue-Based Digital Tutor.

Matthew Ventura, Maria Chang, Peter W. Foltz, Nirmal Mukhi, Jessica Yarbro, Anne Pier Salverda, John T. Behrens, Jae-wook Ahn, Tengfei Ma, Tejas I. Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D'Helon, Ravi Tejwani, Shazia Afzal

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Adaptive Visual Dialog for Intelligent Tutoring Systems.

Jae-wook Ahn, Maria Chang, Patrick Watson, Ravi Tejwani, Sharad Sundararajan, Tamer Abuelsaad, Srijith Prabhu

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.

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

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017

Promoting Sketching in Introductory Geoscience Courses: CogSketch Geoscience Worksheets.

Bridget Garnier, Maria Chang, Carol Ormand, Bryan J. Matlen, Basil Tikoff, Thomas F. Shipley

Top. Cogn. Sci., 2017

The Cognitive Science of Sketch Worksheets.

Kenneth D. Forbus, Maria Chang, Matthew D. McLure, Jeffrey M. Usher

Top. Cogn. Sci., 2017

Wizard's Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering.

Jae-wook Ahn, Patrick Watson, Maria Chang, Sharad Sundararajan, Tengfei Ma, Nirmal Mukhi, Srijith Prabhu

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2014

Using Analogy to Cluster Hand-Drawn Sketches for Sketch-Based Educational Software.

Maria D. Chang, Kenneth D. Forbus

AI Mag., 2014

Spatial Reasoning in Comparative Analyses of Physics Diagrams.

Maria D. Chang, Jon William Wetzel, Kenneth D. Forbus

Proceedings of the Spatial Cognition IX, 2014

Analogy Tutor: A Tutoring System for Promoting Conceptual Learning via Comparison.

Maria de los Angeles Chang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Clustering Hand-Drawn Sketches via Analogical Generalization.

Maria de los Angeles Chang, Kenneth D. Forbus

Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

2012

Using Quantitative Information to Improve Analogical Matching Between Sketches.

Maria de los Angeles Chang, Kenneth D. Forbus

Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012