[1] Rohit Sroch. 2023. Parameter-Efficient Tuning of Large Language Models (LLMs) with Novel Ensemble Knowledge Distillation Framework for NLP. DEEP LEARNING DEVCON 2023 organized by Association of Data Scientists. https://adasci.org/general/parameter-efficient-tuning-of-large-language-models-llms-with-novel-ensemble-knowledge-distillation-framework-rohit-sroch/
[2] Rohit Sroch and Jayachandran Ramachandran. 2023. Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices. ODSC APAC 2023 organized by Open Data Science Conference. https://opendatascience.com/evolving-trends-in-prompt-engineering-for-large-language-models-llms-with-built-in-responsible-ai-practices/
[3] Rohit Sroch. 2021. Domain Adapted Abstractive Summarization of Dialogue using Transfer Learning. In 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI’21). Association for Computing Machinery, New York, NY, USA, Article 94, 1–6. https://doi.org/10.1145/3508546.3508640
