Hima Karanam

Computer Science · Physical Sciences

9h-index294citations23works3.82yr avg
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Research Topics

Topic Modeling(13), Natural Language Processing Techniques(12), Semantic Web and Ontologies(9), Business Process Modeling and Analysis(2), Logic, Reasoning, and Knowledge(2)

Publications23 total

Error-Resistant Image Watermarking Using DWT and Linear Modulationwith LDPC Correction
2025Open Access
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
arXiv (Cornell University)·2024· 1 citedOpen Access
An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants
arXiv (Cornell University)·2024Open Access
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
2024· 14 citedOpen Access
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge
2023Open Access
Best of Both Worlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction
2023Open Access
Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases
arXiv (Cornell University)·2022· 2 citedOpen Access
Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases
arXiv (Cornell University)·2022· 1 citedOpen Access
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
arXiv (Cornell University)·2022· 7 citedOpen Access
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases
2022· 9 citedOpen Access
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
arXiv (Cornell University)·2021· 3 citedOpen Access
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
2021· 76 citedOpen Access
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
arXiv (Cornell University)·2020· 9 citedOpen Access
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.
arXiv (Cornell University)·2020· 26 citedOpen Access
Logical Neural Networks
arXiv (Cornell University)·2020· 81 citedOpen Access
Inductive Quantum Embedding
Neural Information Processing Systems·2020· 1 cited
Quantum Embedding of Knowledge for Reasoning
Neural Information Processing Systems·2019· 17 cited
Document Structure Measure for Hypernym discovery
arXiv (Cornell University)·2018Open Access
Tooling framework for instantiating natural language querying system
Proceedings of the VLDB Endowment·2018· 8 cited
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases.
2018· 2 cited
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Frequent Co-authors

Sumit Neelam(15), Shajith Ikbal(11), Ibrahim Abdelaziz(10), Pavan Kapanipathi(9), Dinesh Garg(9), Salim Roukos(8), Achille Fokoue(8), G P Shrivatsa Bhargav(8), Ryan Riegel(7), Francois Luus(7), Maria Chang(7), Alexander Gray(6), Srinivas Ravishankar(6), Saswati Dana(6), Sairam Gurajada(6), Dinesh Khandelwal(6), Young‐Suk Lee(6), Nandana Mihindukulasooriya(6), Naweed Khan(5), Ndivhuwo Makondo(5)