The recent success of large language models (LLMs) trained on static, pre-collected,
general datasets has sparked numerous research directions and applications. One such …

Large language models (LLMs) have demonstrated remarkable proficiency in
understanding and generating human-like texts, which may potentially revolutionize the …

Large language models (LLMs) have transformed the interpretation and creation of human
language in the rapidly developing field of computerized language processing. These …

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 …

This survey presents an in-depth exploration of knowledge distillation (KD) techniques
within the realm of Large Language Models (LLMs), spotlighting the pivotal role of KD in …

With the development of social media, users increasingly tend to express their sentiments
(broadly including sentiment polarities, emotions and sarcasm, etc.) associated with fine …

Despite Spanish's pivotal role in the global finance industry, a pronounced gap exists in
Spanish financial natural language processing (NLP) and application studies compared to …

Large Language Models (LLMs) have shown remarkable capabilities across a wide variety
of Natural Language Processing (NLP) tasks and have attracted attention from multiple …

Users are increasingly being warned to check AI-generated content for correctness. Still, as
LLMs (and other generative models) generate more complex output, such as summaries …

While the progression of Large Language Models (LLMs) has notably propelled financial
analysis, their application has largely been confined to singular language realms, leaving …