Benchmarks for automated commonsense reasoning: A survey
E Davis - ACM Computing Surveys, 2023 - dl.acm.org
More than one hundred benchmarks have been developed to test the commonsense
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
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 …
Tidybot: Personalized robot assistance with large language models
For a robot to personalize physical assistance effectively, it must learn user preferences that
can be generally reapplied to future scenarios. In this work, we investigate personalization of …
can be generally reapplied to future scenarios. In this work, we investigate personalization of …
Llm+ p: Empowering large language models with optimal planning proficiency
Large language models (LLMs) have demonstrated remarkable zero-shot generalization
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …
Guiding pretraining in reinforcement learning with large language models
Reinforcement learning algorithms typically struggle in the absence of a dense, well-shaped
reward function. Intrinsically motivated exploration methods address this limitation by …
reward function. Intrinsically motivated exploration methods address this limitation by …
Large language models as commonsense knowledge for large-scale task planning
Large-scale task planning is a major challenge. Recent work exploits large language
models (LLMs) directly as a policy and shows surprisingly interesting results. This paper …
models (LLMs) directly as a policy and shows surprisingly interesting results. This paper …
Task and motion planning with large language models for object rearrangement
Multi-object rearrangement is a crucial skill for service robots, and commonsense reasoning
is frequently needed in this process. However, achieving commonsense arrangements …
is frequently needed in this process. However, achieving commonsense arrangements …
Language models meet world models: Embodied experiences enhance language models
While large language models (LMs) have shown remarkable capabilities across numerous
tasks, they often struggle with simple reasoning and planning in physical environments …
tasks, they often struggle with simple reasoning and planning in physical environments …
Dall-e-bot: Introducing web-scale diffusion models to robotics
We introduce the first work to explore web-scale diffusion models for robotics. DALL-E-Bot
enables a robot to rearrange objects in a scene, by first inferring a text description of those …
enables a robot to rearrange objects in a scene, by first inferring a text description of those …
Retrospectives on the embodied ai workshop
We present a retrospective on the state of Embodied AI research. Our analysis focuses on
13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are …
13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are …