Assessment and evaluation have long been critical challenges in artificial intelligence (AI)
and natural language processing (NLP). However, traditional methods, whether matching …

Accurate and consistent evaluation is crucial for decision-making across numerous fields,
yet it remains a challenging task due to inherent subjectivity, variability, and scale. Large …

The rapid advancement of Large Language Models (LLMs) has driven their expanding
application across various fields. One of the most promising applications is their role as …

Evaluating the capabilities of large language models (LLMs) in human-LLM interactions
remains challenging due to the inherent complexity and openness of dialogue processes …

Foundation models (FM), such as large language models (LLMs), which are large-scale
machine learning (ML) models, have demonstrated remarkable adaptability in various …

With recent advances in Large Language Models (LLMs), Agentic AI has become
phenomenal in real-world applications, moving toward multiple LLM-based agents to …

Automatically generating presentations from documents is a challenging task that requires
balancing content quality, visual design, and structural coherence. Existing methods …

Large Language Models (LLMs) have demonstrated near-human performance in
summarization tasks based on traditional metrics such as ROUGE and BERTScore …

Recently, the exponential growth in capability and pervasiveness of Large Language
Models (LLMs) has led to significant work done in the field of code generation. However, this …

The advent of Large Language Models (LLMs) has enabled the development of LLM agents
capable of autonomously achieving under-specified goals and continuously evolving …