Natural Language Inference Task

Natural Language Inference (NLI) is a core task in natural language processing focused on determining the logical relationship (entailment, contradiction, or neutrality) between two text snippets. Current research emphasizes improving NLI model performance across diverse languages and domains, often leveraging large language models (LLMs) and exploring techniques like data augmentation, adversarial training, and prompt engineering to mitigate biases and enhance robustness. The advancements in NLI have significant implications for various applications, including fact verification, question answering, and automated contract analysis, ultimately contributing to more reliable and efficient information processing systems.