Translucent Answer Predictions in Multi-Hop Reading Comprehension. - G. P. Shrivatsa Bhargav; Michael R. Glass; Dinesh Garg; Shirish K. Shevade; Saswati Dana; Dinesh Khandelwal; L. Venkata Subramaniam; Alfio Gliozzo (AAAI, 2020)

Span Selection Pre-training for Question Answering. - Michael R. Glass; Alfio Gliozzo; Rishav Chakravarti; Anthony Ferritto; Lin Pan 003; G. P. Shrivatsa Bhargav; Dinesh Garg; Avirup Sil (ACL, 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 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (CoRR, 2020)

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 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (ACL/IJCNLP (Findings), 2021)

Semantic Answer Type Prediction. - G. P. Shrivatsa Bhargav; Dinesh Khandelwal; Dinesh Garg; Saswati Dana (SMART@ISWC, 2021)

Knowledge Graph Question Answering via SPARQL Silhouette Generation. - Sukannya Purkayastha; Saswati Dana; Dinesh Garg; Dinesh Khandelwal; G. P. Shrivatsa Bhargav (CoRR, 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 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (CoRR, 2021)

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 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (EMNLP (Findings), 2022)

A Deep Neural Approach to KGQA via SPARQL Silhouette Generation. - Sukannya Purkayastha; Saswati Dana; Dinesh Garg; Dinesh Khandelwal; G. P. Shrivatsa Bhargav (IJCNN, 2022)

Zero-shot Entity Linking with Less Data. - G. P. Shrivatsa Bhargav; Dinesh Khandelwal; Saswati Dana; Dinesh Garg; Pavan Kapanipathi; Salim Roukos; Alexander G. Gray; L. Venkata Subramaniam (NAACL-HLT (Findings), 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 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (CoRR, 2022)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; G. P. Shrivatsa Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachindra Joshi; et al. (EMNLP (Industry Track), 2024)

An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants. - G. P. Shrivatsa Bhargav; Sumit Neelam; Udit Sharma; Shajith Ikbal; Dheeraj Sreedhar; Hima Karanam; Sachindra Joshi; Pankaj Dhoolia; Dinesh Garg; Kyle Croutwater; Haode Qi; Eric Wayne; et al. (CoRR, 2024)