Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …

Large Language Models (LLMs) have demonstrated remarkable capabilities in important
tasks such as natural language understanding and language generation, and thus have the …

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 …

Large Language Models (LLMs), based on their highly developed ability to comprehend and
generate human-like text, promise to revolutionize all aspects of society. These LLMs …

Due to the large number of parameters, the inference phase of Large Language Models
(LLMs) is resource-intensive. However, not all requests posed to LLMs are equally difficult to …

Despite their remarkable achievements, modern Large Language Models (LLMs) face
exorbitant computational and memory footprints. Recently, several works have shown …

The availability of performant pre-trained models has led to a proliferation of fine-tuned
expert models that are specialized to a particular domain or task. Model MoErging methods …

Abstract Conversational Agents (CAs) have made their way to providing interactive
assistance to users. However, the current dialogue modelling techniques for CAs are …

Large language models (LLMs) have showcased profound capabilities in language
understanding and generation, facilitating a wide array of applications. However, there is a …