On Zero-Shot Counterspeech Generation by LLMs

arXiv:2403.14938v1 Announce Type: new
Abstract: With the emergence of numerous Large Language Models (LLM), the usage of such models in various Natural Language Processing (NLP) applications is increasing extensively. Counterspeech generation is one such key task where efforts are made to develop generative models by fine-tuning LLMs with hatespeech - counterspeech pairs, but none of these attempts explores the intrinsic properties of large language models in zero-shot settings. In this work, we present a comprehensive analysis of the performances of …

abstract applications arxiv cs.cl emergence fine-tuning generative generative models key language language models language processing large language large language models llm llms natural natural language natural language processing nlp processing type usage zero-shot