Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …

The rapid development of Large Language Models (LLMs) like GPT-4, Claude-3, and
Gemini has transformed the field of natural language processing. However, it has also …

Large Language Models (LLMs) have unlocked new capabilities and applications; however,
evaluating the alignment with human preferences still poses significant challenges. To …

This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …

Large language models~(LLMs) have greatly advanced the frontiers of artificial intelligence,
attaining remarkable improvement in model capacity. To assess the model performance, a …

Large Language Models (LLMs) applied to code-related applications have emerged as a
prominent field, attracting significant interest from both academia and industry. However, as …

The proliferation of large language models (LLMs) in the real world has come with a rise in
copyright cases against companies for training their models on unlicensed data from the …

This paper introduces BLaIR, a series of pretrained sentence embedding models
specialized for recommendation scenarios. BLaIR is trained to learn correlations between …

Large language models (LLMs) offer impressive performance in various zero-shot and few-
shot tasks. However, their success in zero-shot or few-shot settings may be affected by task …

Legal practice has witnessed a sharp rise in products incorporating artificial intelligence (AI).
Such tools are designed to assist with a wide range of core legal tasks, from search and …