A comprehensive survey of artificial intelligence techniques for talent analytics
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …
organizations to rethink how to make talent-related decisions in a quantitative manner …
Generative ai for self-adaptive systems: State of the art and research roadmap
Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …
Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making
Large language models (LLMs) have demonstrated notable potential in conducting complex
tasks and are increasingly utilized in various financial applications. However, high-quality …
tasks and are increasingly utilized in various financial applications. However, high-quality …
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversations
We present AutoGen, an open-source framework that allows developers to build LLM
applications by composing multiple agents to converse with each other to accomplish tasks …
applications by composing multiple agents to converse with each other to accomplish tasks …
Generative AI Agents for Knowledge Work Augmentation in Finance
The development of software agents that can autonomously take actions to achieve goals
has been a long-standing foundational objective in the field of AI. Recent advances in …
has been a long-standing foundational objective in the field of AI. Recent advances in …
A Survey on Human-Centric LLMs
The rapid evolution of large language models (LLMs) and their capacity to simulate human
cognition and behavior has given rise to LLM-based frameworks and tools that are …
cognition and behavior has given rise to LLM-based frameworks and tools that are …
Shall we team up: Exploring spontaneous cooperation of competing llm agents
Abstract Large Language Models (LLMs) have increasingly been utilized in social
simulations, where they are often guided by carefully crafted instructions to stably exhibit …
simulations, where they are often guided by carefully crafted instructions to stably exhibit …
The landscape of emerging ai agent architectures for reasoning, planning, and tool calling: A survey
T Masterman, S Besen, M Sawtell, A Chao - arXiv preprint arXiv …, 2024 - arxiv.org
This survey paper examines the recent advancements in AI agent implementations, with a
focus on their ability to achieve complex goals that require enhanced reasoning, planning …
focus on their ability to achieve complex goals that require enhanced reasoning, planning …
MHRC: Closed-loop Decentralized Multi-Heterogeneous Robot Collaboration with Large Language Models
The integration of large language models (LLMs) with robotics has significantly advanced
robots' abilities in perception, cognition, and task planning. The use of natural language …
robots' abilities in perception, cognition, and task planning. The use of natural language …
BMW Agents--A Framework For Task Automation Through Multi-Agent Collaboration
N Crawford, EB Duffy, I Evazzade, T Foehr… - arXiv preprint arXiv …, 2024 - arxiv.org
Autonomous agents driven by Large Language Models (LLMs) offer enormous potential for
automation. Early proof of this technology can be found in various demonstrations of agents …
automation. Early proof of this technology can be found in various demonstrations of agents …