Dinesh Khandelwal

Researcher, Research, International Business Machines

Joined

April 2021

Names

Dinesh Khandelwal (Preferred)

Emails

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

Personal Links

Career & Education History

Researcher

Research, International Business Machines (ibm.com)

2019 – Present

PhD student

Indian Institute of Technology Delhi (iitd.ac.in)

2013 – 2019

MS student

Indian Institute of Science Bangalore (iisc.ac.in)

2006 – 2008

Undergrad student

SHRI G. S. INSTITUTE OF TECHNOLOGY & SCIENCE, INDORE (sgsits.ac.in)

2001 – 2005

Advisors, Relations & Conflicts

PhD Advisor

Parag Singla

2013 – 2019

PhD Advisor

Chetan Arora

2013 – 2019

Expertise

Tool/function calling in LLM

2024 – Present

LLM-based AI agents

2023 – Present

Large Language Models for Code

2022 – Present

Retrieval Augmented Generation

2019 – Present

Deep Learning

2017 – Present

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
Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems
Aniruddha Deb, Neeva Hareshbhai Oza, Sarthak Singla, Dinesh Khandelwal, Dinesh Garg, Parag Singla
- Submitted to ICLR 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
Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach
Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Dinesh Garg, Parag Singla
- EMNLP 2023 Main
- Readers: Everyone
Translucent answer predictions in multi-hop reading comprehension
GP Shrivatsa Bhargav, Michael Glass, Dinesh Garg, Shirish Shevade, Saswati Dana, Dinesh Khandelwal, L Venkata Subramaniam, Alfio Gliozzo
- 03 Apr 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Image Manipulation via Neuro-Symbolic Networks
Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- nCSI WS @ NeurIPS 2022 Poster
- Readers: Everyone
Weakly Supervised Neuro-Symbolic Image Manipulation via Multi-Hop Complex Instructions
Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 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
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
- 2022 (modified: 16 Apr 2023)
- NAACL-HLT (Findings) 2022
- Readers: Everyone

View all 28 publications

Co-Authors

View all 84 co-authors