The prowess of Large Language Models (LLMs) such as GPT and BERT has been a game-changer, propelling advancements in machine understanding and generation of human-like text. These models have mastered the intricacies of language, enabling them to tackle tasks with...

The ability to automatically generate code has transformed from a nascent idea to a practical tool, aiding developers in creating complex software applications more efficiently. However, a gap remains between the generation of syntactically correct code and the...

Large multimodal models (LMMs) have the potential to revolutionize how machines interact with human languages and visual information, offering more intuitive and natural ways for machines to understand our world. The challenge in multimodal learning involves...

Large language models (LLMs) stand out for their astonishing ability to mimic human language. These models, pivotal in advancements across machine translation, summarization, and conversational AI, thrive on vast datasets and equally enormous computational power. The...

Integrating domain-specific languages (DSL) into large vision-language models (LVLMs) heralds a transformative leap toward refining multimodal reasoning capabilities. While commendable for their ingenuity, traditional approaches often grapple with the nuanced...

When an error or misunderstanding arises, modern LLMs can theoretically reflect on and refine their answers because they are interactive systems capable of multi-turn interaction with users. Previous research has demonstrated that LLMs can enhance their responses...