Hi, I'm Ankush Agarwal

AI Researcher at Fujitsu Research India
Masters from IIT Bombay | Specializing in Machine Learning, NLP, and Knowledge Graphs

Ankush Agarwal

About Me

Passionate researcher exploring the intersection of AI and knowledge representation

I am an AI Researcher at Fujitsu Research India, where I work on cutting-edge machine learning and NLP solutions. I completed my Masters from the Indian Institute of Technology Bombay under the guidance of Prof. Pushpak Bhattacharyya. My research focuses on advancing the field of Natural Language Processing through innovative approaches to knowledge integration and question answering systems.

My work primarily revolves around developing novel methods for integrating structured knowledge into language models, with applications in question answering, knowledge graphs, and multi-modal reasoning. I am particularly interested in bridging the gap between symbolic knowledge representation and neural language understanding.

Research Interests

Machine Learning
Natural Language Processing
Knowledge Graphs
Question Answering
Large Language Models
Table-Text Reasoning
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Research Areas

Exploring cutting-edge problems in AI and NLP

Knowledge Graph Integration

Developing novel approaches to integrate structured knowledge graphs with neural language models for enhanced reasoning and question answering capabilities.

Knowledge Graphs Neural Networks Reasoning

Multi-hop Question Answering

Creating systems that can perform complex reasoning across multiple information sources to answer sophisticated questions requiring multi-step inference.

QA Systems Multi-hop Reasoning LLMs

Table-Text Reasoning

Advancing hybrid reasoning systems that can understand and reason over both structured tabular data and unstructured textual information simultaneously.

Hybrid Graphs Structured Data Multi-modal

Knowledge Infusion in LMs

Researching methods to effectively incorporate domain-specific knowledge into language models for improved performance on specialized tasks and domains.

Language Models Domain Knowledge Transfer Learning

Publications

Recent contributions to the field

2025

Hybrid Graphs for Table-and-Text based Question Answering using LLMs

A Agarwal, C Devaguptapu

North American Chapter of the Association for Computational Linguistics (NAACL) 2025

2 citations
2024

HOLMES: Hyper-relational knowledge graphs for multi-hop question answering using LLMs

P Panda, A Agarwal, C Devaguptapu, M Kaul

Association for Computational Linguistics (ACL) 2024

15 citations
2023

KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering

A Agarwal, S Gawade, AP Azad, P Bhattacharyya

ICON 20 (Association for Computational Linguistic)

10 citations
2022

Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain

A Agarwal, R Gite, S Laddha, P Bhattacharyya, S Kar, A Ekbal, P Thind, ...

Language Resources and Evaluation Conference (LREC) 2022

21 citations
2022

There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering

A Agarwal, S Gawade, S Channabasavarajendra, P Bhattacharyya

ICON 19 (Association for Computational Linguistic)

11 citations

Get In Touch

Let's discuss research opportunities and collaborations

Email

ankush98.12@gmail.com

Location

Fujitsu Research India, Bangalore

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