Hima Karanam

Researcher, Conversational AI, International Business Machines

Joined

January 2021

Names

Hima Karanam (Preferred)

K Hima Prasad

Hima P Karanam

Hima Prasad Karanam

Emails

****@in.ibm.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Conversational AI, International Business Machines (ibm.com)

2006 – Present

MS student

Computer Science and Engineering, Indian Institute of Technology Madras (iitm.ac.in)

2003 – 2006

Advisors, Relations & Conflicts

No relations added

Expertise

Large Language models

Tool Calling

Conversational Agents

2021 – Present

Neuro Symbolic AI

Knowledge Base Question Answering

2018 – 2021

Knowledge Bases

Information integration

2012 – 2018

Databases and Data Quality

2006 – 2012

Publications

TOOLWEAVE: FINE-GRAINED AND CONTROLLABLE SYNTHETIC DATA GENERATION FOR MULTI-TURN TOOL CALLING WITH NON-FRONTIER LLMS
Dinesh Khandelwal, Gnana Prakash Punnavajhala, G P Shrivatsa Bhargav, Gaurav Pandey, Sachindra Joshi, Hima Karanam, Dinesh Raghu
- Submitted to ICLR 2026
- Readers: Everyone
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar et al. (6 additional authors not shown)
- EMNLP (Industry Track) 2024
- Readers: Everyone
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar et al. (6 additional authors not shown)
- CoRR 2024
- Readers: Everyone
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, J. William Murdock
- CoRR 2024
- Readers: Everyone
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 Main
- Readers: Everyone
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, Alexander G. Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra K Subramanian
- EMNLP 2023 Findings
- Readers: Everyone
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, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian
- EMNLP (Findings) 2023
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 14 Dec 2023
- EMNLP 2023
- Readers: Everyone
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
- 2022 (modified: 15 May 2022)
- CoRR 2022
- Readers: Everyone
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 et al. (5 additional authors not shown)
- 2022 (modified: 15 May 2022)
- CoRR 2022
- Readers: Everyone

View all 25 publications

Co-Authors

View all 132 co-authors