Plansformer: Generating Symbolic Plans using Transformers

Understand

Large Language Models (LLMs) have been the subject of active research, significantly advancing the field of Natural Language Processing (NLP).

• From BERT to BLOOM, LLMs have surpassed state-of-the-art results in various natural language tasks such as question answering, summarization, and text generation.
• Many ongoing efforts focus on understanding LLMs' capabilities, including their knowledge of the world, syntax, and semantics.
• However, extending the textual prowess of LLMs to symbolic reasoning has been slow and predominantly focused on tackling problems related to the mathematical field.