imcs21

Small finetuned LLMs for a diverse set of useful tasks

MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation

[EMNLP 2023] FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. Support BART, PEGASUS, T5, mT5, BioBART, etc.

A medical dialogue annotation tool that supports multi-level annotation for doctor-patient conversations, including named entities, dialog intents, and medical reports.

Fine Tuning pegasus and flan-t5 pre-trained language model on dialogsum datasets for conversation summarization to to optimize context window in RAG-LLMs

Instruction fine tuning BART for Dialogue Summarization | IT4772E | NLP Project 20232

This notebook fine-tunes the FLAN-T5 model for dialogue summarization, comparing full fine-tuning with Parameter-Efficient Fine-Tuning (PEFT). It evaluates performance using ROUGE metrics, demonstrating PEFT's efficiency while achieving competitive results.