ChatGPT has drawn considerable attention from both the general public and domain experts
with its remarkable text generation capabilities. This has subsequently led to the emergence …

Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Recent advancements in large language models (LLMs) have transformed the field of
question answering (QA). However, evaluating LLMs in the medical field is challenging due …

Large Language Models (LLMs) have demonstrated impressive zero shot performance on a
wide range of NLP tasks, demonstrating the ability to reason and apply commonsense. A …

In the era of large language models (LLMs), hallucination (ie, the tendency to generate
factually incorrect content) poses great challenge to trustworthy and reliable deployment of …

Abstract Language models (LMs) may lead their users to make suboptimal downstream
decisions when they confidently hallucinate. This issue can be mitigated by having the LM …

We assessed the performance of commercial Large Language Models (LLMs) GPT-3.5-
Turbo and GPT-4 on tasks from the 2023 BioASQ challenge. In Task 11b Phase B, which is …

This is an overview of the eleventh edition of the BioASQ challenge in the context of the
Conference and Labs of the Evaluation Forum (CLEF) 2023. BioASQ is a series of …

There is widespread optimism that frontier Large Language Models (LLMs) and LLM-
augmented systems have the potential to rapidly accelerate scientific discovery across …

Hallucinations pose a significant challenge to the reliability of large language models
(LLMs) in critical domains. Recent benchmarks designed to assess LLM hallucinations …