8 citations · 11 across the 10 of their papers we have counts for
9 papers · 1 filter
POSESTITCH-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation
Abhinav Joshi, Vaibhav Sharma, Sanjeet Singh +1
Sign language translation remains a challenging task due to the scarcity of large-scale, sentence-aligned datasets. Prior arts have focused on various feature extraction and archit…
Towards Quantifying Commonsense Reasoning with Mechanistic Insights
Abhinav Joshi, Areeb Ahmad, Divyaksh Shukla +1
Commonsense reasoning deals with the implicit knowledge that is well understood by humans and typically acquired via interactions with the world. In recent times, commonsense reaso…
COLD: Causal reasOning in cLosed Daily activities
Abhinav Joshi, Areeb Ahmad, Ashutosh Modi
Large Language Models (LLMs) have shown state-of-the-art performance in a variety of tasks, including arithmetic and reasoning; however, to gauge the intellectual capabilities of L…
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
Abhinav Joshi, Shaswati Saha, Divyaksh Shukla +4
Large Language Models (LLMs) have shown to be a great success in a wide range of applications ranging from regular NLP-based use cases to AI agents. LLMs have been trained on a vas…
iSign: A Benchmark for Indian Sign Language Processing
Abhinav Joshi, Romit Mohanty, Mounika Kanakanti +4
Indian Sign Language has limited resources for developing machine learning and data-driven approaches for automated language processing. Though text/audio-based language processing…
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning
Abhinav Joshi, Shounak Paul, Akshat Sharma +3
Legal systems worldwide are inundated with exponential growth in cases and documents. There is an imminent need to develop NLP and ML techniques for automatically processing and un…