In Natural Language Processing (NLP), Large Language Models (LLMs) have demonstrated
high text generation quality. However, in real-world applications, LLMs must meet …

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

Prompt engineering is a challenging yet crucial task for optimizing the performance of large
language models on customized tasks. It requires complex reasoning to examine the …

Jailbreaks on large language models (LLMs) have recently received increasing attention.
For a comprehensive assessment of LLM safety, it is essential to consider jailbreaks with …

The ability to follow instructions is crucial for Large Language Models (LLMs) to handle
various real-world applications. Existing benchmarks primarily focus on evaluating pure …

It is imperative for Large language models (LLMs) to follow instructions with elaborate
requirements (ie Complex Instructions Following). Yet, it remains under-explored how to …

The adeptness of Large Language Models (LLMs) in comprehending and following natural
language instructions is critical for their deployment in sophisticated real-world applications …

While extreme-scale language models have demonstrated exceptional performance on a
variety of language tasks, the degree of control over these language models through pure …

Large Language Models (LLMs) have demonstrated a powerful ability for text generation.
However, achieving optimal results with a given prompt or instruction can be challenging …