1 citations · 1 across the 3 of their papers we have counts for
4 papers
LANTERN: Language Model Assessment on Noisy and Transformed Tasks for Understanding Error and Robustness Nuances
Vamsi Krishna Kodavali, Rituraj Singh
Robustness evaluation of large language models (LLMs) remains a critical challenge, particularly in assessing their sensitivity to perturbations in input data. In this work, we sys…
SmoGVLM: A Small, Graph-enhanced Vision-Language Model
Debjyoti Mondal, Rituraj Singh, Subhadarshi Panda
Large vision-language models (VLMs) achieve strong performance on multimodal tasks but often suffer from hallucination and poor grounding in knowledge-intensive reasoning. We propo…
Matching Tasks with Industry Groups for Augmenting Commonsense Knowledge
Rituraj Singh, Sachin Pawar, Girish Palshikar
Commonsense knowledge bases (KB) are a source of specialized knowledge that is widely used to improve machine learning applications. However, even for a large KB such as ConceptNet…
KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning
Debjyoti Mondal, Suraj Modi, Subhadarshi Panda +2
Large Language Models (LLMs) have demonstrated impressive performance in natural language processing tasks by leveraging chain of thought (CoT) that enables step-by-step thinking.…