Given the societal impact of unsafe content generated by large language models (LLMs),
ensuring that LLM services comply with safety standards is a crucial concern for LLM service …

The availability of source code has been put forward as one of the most critical factors for
improving the reproducibility of scientific research. This work studies trends in source code …

Large pretrained language models can easily produce toxic or biased content, which is
prohibitive for practical use. In order to detect such toxic generations, existing methods rely …

Active participation in a conversation is key to building common ground, since
understanding is jointly tailored by producers and recipients. Overhearers are deprived of …

Language model alignment has become an important component of AI safety, allowing safe
interactions between humans and language models, by enhancing desired behaviors and …

Abstract Natural Language Processing (NLP) promises to deliver tools for a variety of
impactful applications, ranging from automatic summarization to question-answering …

Neural models, including neural language models and encoder-decoder models, are the
backbone of current natural language processing (NLP) research. Large pre-trained models …

Recent years have witnessed substantial growth in Machine Learning (ML) and Natural
Language Processing (NLP), largely fueled by the accessibility and openness of data and …