Large Language Models (LLMs) have emerged as transformative tools in research and industry, with their performance directly correlating to model size. However, training these massive models presents ...

The advancements in large language models (LLMs) have significantly enhanced natural language processing (NLP), enabling capabilities like contextual understanding, code generation, and reasoning.

In the evolving landscape of artificial intelligence, integrating vision and language capabilities remains a complex challenge. Traditional models often struggle with tasks requiring a nuanced ...

GUI agents seek to perform real tasks in digital environments by understanding and interacting with graphical interfaces such as buttons and text boxes. The biggest open challenges lie in enabling ...

Multimodal AI integrates diverse data formats, such as text and images, to create systems capable of accurately understanding and generating content. By bridging textual and visual data, these models ...

In the evolving landscape of artificial intelligence, integrating vision and language capabilities remains a complex challenge. Traditional models often struggle with tasks requiring a nuanced ...

Researchers have highlighted concerns regarding hallucinations in LLMs due to their generation of plausible but inaccurate or unrelated content. However, these ...

GUI agents seek to perform real tasks in digital environments by understanding and interacting with graphical interfaces such as buttons and text boxes. The biggest open challenges lie in enabling ...

GUI agents seek to perform real tasks in digital environments by understanding and interacting with graphical interfaces such as buttons and text boxes. The biggest open challenges lie in enabling ...

Large language models (LLMs) have shown remarkable abilities in language tasks and reasoning, but their capacity for autonomous planning—especially in complex ...

GUI agents seek to perform real tasks in digital environments by understanding and interacting with graphical interfaces such as buttons and text boxes. The biggest open challenges lie in enabling ...

Knowledge distillation, a crucial technique in artificial intelligence for transferring knowledge from large language models (LLMs) to smaller, resource-efficient ones, faces several significant ...