The rise and potential of large language model based agents: A survey
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …
human intelligence. AI agents, which are artificial entities capable of sensing the …
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 …
Rolellm: Benchmarking, eliciting, and enhancing role-playing abilities of large language models
The advent of Large Language Models (LLMs) has paved the way for complex tasks such as
role-playing, which enhances user interactions by enabling models to imitate various …
role-playing, which enhances user interactions by enabling models to imitate various …
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 …
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 …
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 …
[HTML][HTML] Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects
Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …
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 …
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" …