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On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps)
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 …
Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive …
Safety-critical advanced robots: A survey
Develo** advanced robotics applications is now facing the safety issue for users, the
environment, and the robot itself, which is a main limitation for their deployment in real life …
environment, and the robot itself, which is a main limitation for their deployment in real life …
On the planning abilities of large language models-a critical investigation
Intrigued by the claims of emergent reasoning capabilities in LLMs trained on general web
corpora, in this paper, we set out to investigate their planning capabilities. We aim to …
corpora, in this paper, we set out to investigate their planning capabilities. We aim to …
Leveraging pre-trained large language models to construct and utilize world models for model-based task planning
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 …
planning problems. However, methods that use LLMs directly as planners are currently …
Position: LLMs can't plan, but can help planning in LLM-modulo frameworks
We argue that auto-regressive LLMs cannot, by themselves, do planning or self-verification
(which is after all a form of reasoning), and shed some light on the reasons for …
(which is after all a form of reasoning), and shed some light on the reasons for …
Large language models still can't plan (a benchmark for LLMs on planning and reasoning about change)
Recent advances in large language models (LLMs) have transformed the field of natural
language processing (NLP). From GPT-3 to PaLM, the state-of-the-art performance on …
language processing (NLP). From GPT-3 to PaLM, the state-of-the-art performance on …
Generalized planning in pddl domains with pretrained large language models
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 …
planners: given a task, generate a plan. We investigate whether LLMs can serve as …
Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change
Generating plans of action, and reasoning about change have long been considered a core
competence of intelligent agents. It is thus no surprise that evaluating the planning and …
competence of intelligent agents. It is thus no surprise that evaluating the planning and …
Can large language models really improve by self-critiquing their own plans?
There have been widespread claims about Large Language Models (LLMs) being able to
successfully verify or self-critique their candidate solutions in reasoning problems in an …
successfully verify or self-critique their candidate solutions in reasoning problems in an …
[PDF][PDF] On the planning abilities of large language models (a critical investigation with a proposed benchmark)
Intrigued by the claims of emergent reasoning capabilities in LLMs trained on general web
corpora, in this paper, we set out to investigate their planning capabilities. We aim to …
corpora, in this paper, we set out to investigate their planning capabilities. We aim to …