Reliability of LLMs for Navigating and Summarizing Neuroscience Literature

Determine whether large language models, including BrainGPT and related systems, can be used to reliably navigate and summarize existing scientific knowledge in neuroscience without unacceptable rates of hallucination, enabling their deployment for literature navigation and summarization tasks.

Background

The paper discusses emerging applications of LLMs such as OntoGPT and BrainGPT for interacting with neuroscientific data and literature, highlighting promising results like BrainGPT’s performance on the BrainBench benchmark.

However, the authors emphasize a key limitation: hallucinations remain a critical concern for deploying LLMs to autonomously summarize and navigate scientific literature. Consequently, BrainGPT is not currently enabled for this functionality, leaving open the question of whether such use can be made reliable.