As large language models continue to develop in the field of AI, text generation systems are
susceptible to a worrisome phenomenon known as hallucination. In this study, we …

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 …

The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

The remarkable ability of large language models (LLMs) to comprehend, interpret, and
generate complex language has rapidly integrated LLM-generated text into various aspects …

We posit that to achieve superhuman agents, future models require superhuman feedback
in order to provide an adequate training signal. Current approaches commonly train reward …

As research in large language models (LLMs) continues to accelerate, LLM-based
evaluation has emerged as a scalable and cost-effective alternative to human evaluations …

In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has
emerged as a pivotal technique for enhancing model performance by diversifying training …

ABSTRACT Large Language Models (LLMs) are rapidly surpassing human knowledge in
many domains. While improving these models traditionally relies on costly human data …

Adapting a language model into a specific domain, akadomain adaption', is a common
practice when specialized knowledge, eg medicine, is not encapsulated in a general …

Large Language Models (LLMs) are frequently used for multi-faceted language generation
and evaluation tasks that involve satisfying intricate user constraints or taking into account …