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Keyword: benchmark evaluation ×Clear all

2 claims from 1 paper

1. Computer Science › Topic Modeling

   A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks

   Jahan, Laskar, Peng and Huang · arXiv (Cornell University) · 2023

   The paper evaluates 4 popular large language models on 6 biomedical tasks across 26 datasets, comparing them with fine-tuned biomedical models.

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   1. UncheckedIn biomedical datasets with smaller training sets, zero-shot large language models outperformed the current best fine-tuned biomedical models, the paper reports.“Interestingly, we find based on our evaluation that in biomedical datasets that have smaller training sets, zero-shot LLMs even outperform the current state-of-the-art fine-tuned biomedical models.”
   2. Unchecked“We also find that not a single LLM can outperform other LLMs in all tasks, with the performance of different LLMs may vary depending on the task.”