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cs.CL2025

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…

cs.CL2025

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…

cs.CL2024

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…

cs.CL2024

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…

cs.CL2024

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…

cs.CL2024

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…