Fusing biographical and biometric classifiers for improved person identification. - Vivek Tyagi; Hima P. Karanam; Tanveer A. Faruquie; L. Venkata Subramaniam; Nalini K. Ratha (ICPR, 2012)

Visual Exploration of Unstructured Regulatory Documents. - Nishtha Madaan; Hima Karanam; Ankush Gupta; Nitisha Jain; Arun Kumar 002; Srikanth Tamilselvam (IUI Companion, 2017)

Cognitive Compliance for Financial Regulations. - Arvind Agarwal; Balaji Ganesan; Ankush Gupta; Nitisha Jain; Hima Karanam; Arun Kumar 002; Nishtha Madaan; Vitobha Munigala; Srikanth Tamilselvam (IT Prof., 2017)

Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. - Shreyas Bharadwaj; Laura Chiticariu; Marina Danilevsky; Samarth Dhingra; Samved Divekar; Arnaldo Carreno-Fuentes; Himanshu Gupta; Nitin Gupta 005; Sang-Don Han; Mauricio A. Hernández; Howard Ho; Parag Jain; et al. (Proc. VLDB Endow., 2017)

Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. - Hima P. Karanam; Sumit Neelam; Udit Sharma; Sumit Bhatia; Srikanta Bedathur; L. Venkata Subramaniam; Maria Chang 001; Achille Fokoue-Nkoutche; Spyros Kotoulas; Bassem Makni; Mariano Rodriguez-Muro; Ryan Musa; et al. (ISWC (P&D/Industry/BlueSky), 2018)

Document Structure Measure for Hypernym discovery. - Aswin Kannan; Shanmukha C. Guttula; Balaji Ganesan; Hima P. Karanam; Arun Kumar 002 (CoRR, 2018)

Tooling Framework for Instantiating Natural Language Querying System. - Manasa Jammi; Jaydeep Sen; Ashish R. Mittal; Sagar Verma; Vardaan Pahuja; Rema Ananthanarayanan; Pranay Lohia; Hima Karanam; Diptikalyan Saha; Karthik Sankaranarayanan (Proc. VLDB Endow., 2018)

Quantum Embedding of Knowledge for Reasoning. - Dinesh Garg; Shajith Ikbal; Santosh K. Srivastava; Harit Vishwakarma; Hima P. Karanam; L. Venkata Subramaniam (NeurIPS, 2019)

Inductive Quantum Embedding. - Santosh K. Srivastava; Dinesh Khandelwal; Dhiraj Madan; Dinesh Garg; Hima Karanam; L. Venkata Subramaniam (NeurIPS, 2020)

Logical Neural Networks. - Ryan Riegel; Alexander G. Gray; Francois P. S. Luus; Naweed Khan; Ndivhuwo Makondo; Ismail Yunus Akhalwaya; Haifeng Qian; Ronald Fagin; Francisco Barahona; Udit Sharma; Shajith Ikbal; Hima Karanam; et al. (CoRR, 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)

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 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)

Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases. - Nithish Kannen; Udit Sharma; Sumit Neelam; Dinesh Khandelwal; Shajith Ikbal; Hima Karanam; L. Venkata Subramaniam (CoRR, 2022)

Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases. - Sumit Neelam; Udit Sharma; Sumit Bhatia; Hima Karanam; Ankita Likhyani; Ibrahim Abdelaziz; Achille Fokoue; L. Venkata Subramaniam (CoRR, 2022)

Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. - Shajith Ikbal; Udit Sharma; Hima Karanam; Sumit Neelam; Ronny Luss; Dheeraj Sreedhar; Pavan Kapanipathi; Naweed Khan; Kyle Erwin; Ndivhuwo Makondo; Ibrahim Abdelaziz; Achille Fokoue; et al. (EMNLP (Findings), 2023)

Best of Both Worlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction. - Nithish Kannen; Udit Sharma; Sumit Neelam; Dinesh Khandelwal; Shajith Ikbal; Hima Karanam; L. Venkata Subramaniam (EMNLP, 2023)

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)

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; GP Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachin Joshi; et al. (CoRR, 2024)