Abstract Automated Planning and Scheduling is among the growing areas in Artificial
Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive …

Large language models (LLMs) have demonstrated remarkable zero-shot generalization
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …

There is a growing interest in applying pre-trained large language models (LLMs) to
planning problems. However, methods that use LLMs directly as planners are currently …

Recent large language models (LLMs) have demonstrated remarkable performance on a
variety of natural language processing (NLP) tasks, leading to intense excitement about their …

Recent work has considered whether large language models (LLMs) can function as
planners: given a task, generate a plan. We investigate whether LLMs can serve as …

Large Language Models (LLMs) have demonstrated impressive planning abilities in single-
agent embodied tasks across various domains. However, their capacity for planning and …

Abstract Language models demonstrate remarkable capacity to generalize representations
learned in one modality to downstream tasks in other modalities. Can we trace this ability to …

The emergent few-shot reasoning capabilities of Large Language Models (LLMs) have
excited the natural language and machine learning community over recent years. Despite of …

Plansformer is a novel tool that utilizes a fine-tuned language model based on transformer
architecture to generate symbolic plans. Transformers are a type of neural network …

Large Language Models (LLMs) have demonstrated impressive planning abilities due to
their vast" world knowledge". Yet, obtaining plans that are both feasible (grounded in …