PMRF Reviews2024PMRF ReviewsRecommended with commendation Prateek presented his work “ Bayesian Coresets for Personalized Federated Learning” as part of his PhD topic “Towards building Efficient and Robust Methods in LLM Pretraining and Finetuning.” The presented work has been accepted in ICLR 2024 (A* conference). The extension of the ICLR work is submitted to AAAI. Also, another work “Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering,” accepted in EMNLP. In summary, the candidate has strong acceptance and submissions at A* conferences and contributes to the BharthGen ecosystem. Furthermore, he is clear about his future work and goals. Further, completed the required TA duties. However, the student must focus on the following: 1) Improving the bounds of the model with respect to the generic distance metric. 2) Motivation of the Hellinger distance is missing. 3) Presentation skill needs to be improved as the slides were full of text but lacked clarity. 2023PMRF Reviews
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