Recent advancements in general-purpose AI have highlighted the importance of guiding AI
systems towards the intended goals, ethical principles, and values of individuals and …

Recent years have witnessed remarkable progress made in large language models (LLMs).
Such advancements, while garnering significant attention, have concurrently elicited various …

Some of the most powerful language models currently are proprietary systems, accessible
only via (typically restrictive) web or software programming interfaces. This is the …

In the era of Large Language Models (LLMs), Knowledge Distillation (KD) emerges as a
pivotal methodology for transferring advanced capabilities from leading proprietary LLMs …

Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …

Moral norms vary across cultures. A recent line of work suggests that English large language
models contain human-like moral biases, but these studies typically do not examine moral …

Aligning large language models (LLMs) to human values has become increasingly
important as it enables sophisticated steering of LLMs. However, it requires significant …

Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …

Large language models (LLMs) are typically aligned to be harmless to humans.
Unfortunately, recent work has shown that such models are susceptible to automated …

In this position paper, we argue that instead of morally aligning LLMs to specific set of ethical
principles, we should infuse generic ethical reasoning capabilities into them so that they can …