Graph of thoughts: Solving elaborate problems with large language models
Abstract We introduce Graph of Thoughts (GoT): a framework that advances prompting
capabilities in large language models (LLMs) beyond those offered by paradigms such as …
capabilities in large language models (LLMs) beyond those offered by paradigms such as …
The rise and potential of large language model based agents: A survey
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …
Tptu: Task planning and tool usage of large language model-based ai agents
With recent advancements in natural language processing, Large Language Models (LLMs)
have emerged as powerful tools for various real-world applications. Despite their prowess …
have emerged as powerful tools for various real-world applications. Despite their prowess …
Llms for knowledge graph construction and reasoning: Recent capabilities and future opportunities
This paper presents an exhaustive quantitative and qualitative evaluation of Large
Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning. We …
Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning. We …
Artificial intelligence for science in quantum, atomistic, and continuum systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks
We introduce SwiftSage, a novel agent framework inspired by the dual-process theory of
human cognition, designed to excel in action planning for complex interactive reasoning …
human cognition, designed to excel in action planning for complex interactive reasoning …
A bi-step grounding paradigm for large language models in recommendation systems
As the focus on Large Language Models (LLMs) in the field of recommendation intensifies,
the optimization of LLMs for recommendation purposes (referred to as LLM4Rec) assumes a …
the optimization of LLMs for recommendation purposes (referred to as LLM4Rec) assumes a …
Lampilot: An open benchmark dataset for autonomous driving with language model programs
Autonomous driving (AD) has made significant strides in recent years. However existing
frameworks struggle to interpret and execute spontaneous user instructions such as" …
frameworks struggle to interpret and execute spontaneous user instructions such as" …
Surrealdriver: Designing generative driver agent simulation framework in urban contexts based on large language model
Y Jin, X Shen, H Peng, X Liu, J Qin, J Li, J Xie… - arXiv preprint arXiv …, 2023 - arxiv.org
Simulation plays a critical role in the research and development of autonomous driving and
intelligent transportation systems. However, the current simulation platforms exhibit …
intelligent transportation systems. However, the current simulation platforms exhibit …
Towards a holistic landscape of situated theory of mind in large language models
Large Language Models (LLMs) have generated considerable interest and debate
regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal …
regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal …