5 citations · 11 across the 4 of their papers we have counts for
4 papers
IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding
Sankalp KJ, Ashutosh Kumar, Laxmaan Balaji +4
Known by more than 1.5 billion people in the Indian subcontinent, Indic languages present unique challenges and opportunities for natural language processing (NLP) research due to…
Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
Rewina Bedemariam, Natalie Perez, Sreyoshi Bhaduri +7
Rapid advancements in large language models have unlocked remarkable capabilities when it comes to processing and summarizing unstructured text data. This has implications for the…
Decoding the Diversity: A Review of the Indic AI Research Landscape
Sankalp KJ, Vinija Jain, Sreyoshi Bhaduri +2
This review paper provides a comprehensive overview of large language model (LLM) research directions within Indic languages. Indic languages are those spoken in the Indian subcont…
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications
Charith Chandra Sai Balne, Sreyoshi Bhaduri, Tamoghna Roy +2
The rise of deep learning has marked significant progress in fields such as computer vision, natural language processing, and medical imaging, primarily through the adaptation of p…