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 …

While large language models (LLMs) like ChatGPT have shown impressive capabilities in
Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this …

Multi-modal Chain-of-Thought (MCoT) requires models to leverage knowledge from both
textual and visual modalities for step-by-step reasoning, which gains increasing attention …

Open-ended assessments play a pivotal role in enabling instructors to evaluate student
knowledge acquisition and provide constructive feedback. Integrating large language …

Increasing the number of parameters in large language models (LLMs) usually improves
performance in downstream tasks but raises compute and memory costs, making …

Reversely computed dynamic temporary weights introduce a novel and significant
enhancement to the adaptability and accuracy of large language models. By dynamically …

With the rise of Large Language Models (LLMs), it has become crucial to understand their
capabilities and limitations in deciphering and explaining the complex web of causal …