4 citations · 6 across the 7 of their papers we have counts for
7 papers
EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises
Ankush Agarwal, Harsh Vishwakarma, Suraj Nagaje +1
Deploying AI agents in enterprise environments requires balancing capability with data sovereignty and cost constraints. While small language models offer privacy-preserving altern…
Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments
Harsh Vishwakarma, Ankush Agarwal, Ojas Patil +2
Enterprise systems are crucial for enhancing productivity and decision-making among employees and customers. Integrating LLM based systems into enterprise systems enables intellige…
Finding Needles in Images: Can Multimodal LLMs Locate Fine Details?
Parth Thakkar, Ankush Agarwal, Prasad Kasu +2
While Multi-modal Large Language Models (MLLMs) have shown impressive capabilities in document understanding tasks, their ability to locate and reason about fine-grained details wi…
Hybrid Graphs for Table-and-Text based Question Answering using LLMs
Ankush Agarwal, Ganesh S, Chaitanya Devaguptapu
Answering questions that require reasoning and aggregation across both structured (tables) and unstructured (raw text) data sources presents significant challenges. Current methods…
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs
Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu +2
Given unstructured text, Large Language Models (LLMs) are adept at answering simple (single-hop) questions. However, as the complexity of the questions increase, the performance of…
KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering
Ankush Agarwal, Sakharam Gawade, Amar Prakash Azad +1
Large language models (LLMs) have demonstrated remarkable performance in a wide range of natural language tasks. However, as these models continue to grow in size, they face signif…
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering
Ankush Agarwal, Sakharam Gawade, Sachin Channabasavarajendra +1
The integration of knowledge graphs with deep learning is thriving in improving the performance of various natural language processing (NLP) tasks. In this paper, we focus on knowl…