Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …

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 …

This paper embarks on an exploration into the Large Language Model (LLM) datasets,
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …

We present DRESS a large vision language model (LVLM) that innovatively exploits Natural
Language feedback (NLF) from Large Language Models to enhance its alignment and …

Language agents show potential in being capable of utilizing natural language for varied
and intricate tasks in diverse environments, particularly when built upon large language …

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of
AI, both in research and commerce. Through instruction-tuning a large language model …

As large language models (LLMs) have increased in their capabilities, so does their
potential for dual use. To reduce harmful outputs, produces and vendors of LLMs have used …

We introduce Lemur and Lemur-Chat, openly accessible language models optimized for
both natural language and coding capabilities to serve as the backbone of versatile …

The prominent large language models (LLMs) of today differ from past language models not
only in size, but also in the fact that they are trained on a combination of natural language …

Humans generally acquire new skills without compromising the old; however, the opposite
holds for Large Language Models (LLMs), eg, from LLaMA to CodeLLaMA. To this end, we …