Maria Chang

33 papers A* 4A 1Journal 16Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Conceptual Diagnostics for Knowledge Graphs and Large Language Models.
ACL (6)
Rosario Uceda-Sosa, Maria Chang, Karthikeyan Natesan Ramamurthy, Moninder Singh
2025 J jnl
Few-shot Policy (de)composition in Conversational Question Answering.
CoRR
Kyle Erwin, Guy Axelrod, Maria Chang, Achille Fokoue, Maxwell Crouse, Soham Dan, Tian Gao, Rosario Uceda-Sosa, Ndivhuwo Makondo, Naweed Khan, Alexander G. Gray
2024 J jnl
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
CoRR
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
2024 J jnl
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
IEEE Internet Comput.
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
2024 A* conf
CHRONOS: A Schema-Based Event Understanding and Prediction System.
AAAI
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
2024 J jnl
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods.
CoRR
Dennis Wei, Inkit Padhi, Soumya Ghosh, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Maria Chang
2024 J jnl
Reasoning about concepts with LLMs: Inconsistencies abound.
CoRR
Rosario Uceda-Sosa, Karthikeyan Natesan Ramamurthy, Maria Chang, Moninder Singh
2022 J jnl
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases.
CoRR
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
2022 A* conf
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description.
ICDM
Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius
2022 J jnl
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description.
CoRR
Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius
2022 — conf
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases.
EMNLP (Findings)
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
2021 — conf
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering.
ACL/IJCNLP (Findings)
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
2021 — conf
STONE: Signal Temporal Logic Neural Network for Time Series Classification.
ICDM (Workshops)
Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma, Rosario Uceda-Sosa
2021 J jnl
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases.
CoRR
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
2020 A* conf
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.
AAAI
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
2020 J jnl
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.
CoRR
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
2019 — conf
Answering Science Exam Questions Using Query Reformulation with Background Knowledge.
AKBC
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
2019 — conf
Graph Enhanced Cross-Domain Text-to-SQL Generation.
TextGraphs@EMNLP
Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock
2019 J jnl
High-Fidelity Vector Space Models of Structured Data.
CoRR
Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock
2019 A* conf
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain.
AAAI
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2019 J jnl
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.
CoRR
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
2018 — conf
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.
QA@ACL
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
2018 J jnl
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.
CoRR
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
2018 — conf
Adaptive Visual Dialog for Intelligent Tutoring Systems.
AIED (2)
Jae-wook Ahn, Maria Chang, Patrick Watson, Ravi Tejwani, Sharad Sundararajan, Tamer Abuelsaad, Srijith Prabhu
2018 — conf
An Interface for Annotating Science Questions.
EMNLP (Demonstration)
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
2018 J jnl
Answering Science Exam Questions Using Query Rewriting with Background Knowledge.
CoRR
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
2018 — conf
Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects.
WWW (Companion Volume)
Patrick Watson, Tengfei Ma, Ravi Tejwani, Maria Chang, Jae-wook Ahn, Sharad Sundararajan
2018 J jnl
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain.
CoRR
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2018 — conf
Preliminary Evaluations of a Dialogue-Based Digital Tutor.
AIED (2)
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
2018 — conf
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases.
ISWC (P&D/Industry/BlueSky)
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
2017 J jnl
Promoting Sketching in Introductory Geoscience Courses: CogSketch Geoscience Worksheets.
Top. Cogn. Sci.
Bridget Garnier, Maria Chang, Carol Ormand, Bryan J. Matlen, Basil Tikoff, Thomas F. Shipley
2017 J jnl
The Cognitive Science of Sketch Worksheets.
Top. Cogn. Sci.
Kenneth D. Forbus, Maria Chang, Matthew D. McLure, Jeffrey M. Usher
2017 A conf
Wizard's Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering.
AIED
Jae-wook Ahn, Patrick Watson, Maria Chang, Sharad Sundararajan, Tengfei Ma, Nirmal Mukhi, Srijith Prabhu