Large language models (LLMs) augmented with external data have demonstrated
remarkable capabilities in completing real-world tasks. Techniques for integrating external …

Large language models (LLMs) have demonstrated remarkable potential in handling
multilingual machine translation (MMT). In this paper, we systematically investigate the …

Autonomous interaction with the computer has been a longstanding challenge with great
potential, and the recent proliferation of large language models (LLMs) has markedly …

Large language models (LLMs) such as GPT-3 and GPT-4 are powerful but their weights are
often publicly unavailable and their immense sizes make the models difficult to be tuned with …

Large Language Models (LLMs) are evolving at an unprecedented pace and have exhibited
considerable capability in the realm of natural language processing (NLP) with world …

Large language models (LLMs) have shown an impressive ability to perform a wide range of
tasks using in-context learning (ICL), where a few examples are used to describe a task to …

With emerging topics (eg, COVID-19) on social media as a source for the spreading
misinformation, overcoming the distributional shifts between the original training domain (ie …

Despite commendable achievements made by existing work, prevailing multimodal sarcasm
detection studies rely more on textual content over visual information. It unavoidably induces …

Self-Consistency samples diverse reasoning chains with answers and chooses the final
answer by majority voting. It is based on forward reasoning and cannot further improve …

The recent breakthroughs in Artificial Intelligence (AI) can be attributed to the remarkable
performance of Large Language Models (LLMs) across a spectrum of research areas (eg …