Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …

Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …

Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities
has spurred public curiosity to evaluate and compare different LLMs, leading many …

The vision and language generative models have been overgrown in recent years. For
video generation various open-sourced models and public-available services have been …

Large language models (LLMs) have shown the potential to be integrated into human daily
lives. Therefore, user preference is the most critical criterion for assessing LLMs' …

Instruction Fine-tuning~(IFT) is a critical phase in building large language models~(LLMs).
Previous works mainly focus on the IFT's role in the transfer of behavioral norms and the …

Recent breakthroughs in Large Language Models (LLMs) have revolutionized scientific
literature analysis. However, existing benchmarks fail to adequately evaluate the proficiency …

Large language models (LLMs) can understand human instructions, showing their potential
for pragmatic applications beyond traditional NLP tasks. However, they still struggle with …

We present SeaEval, a benchmark for multilingual foundation models. In addition to
characterizing how these models understand and reason with natural language, we also …