AgentBench: Evaluating LLMs as Agents

Evaluating Large Language Models (LLMs) as agents in interactive environments, highlighting the performance gap between API-based and open-source models, and introducing the AgentBench benchmark.

arxiv.org

Saved by Darren LI

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[12112024, Latent Space @ NeurIPS] Reasoning

docs.google.com

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the best researchers from Meta, Yale, Stanford, Google DeepMind, and Microsoft laid out all we know about Agents in a 264-page paper [book], here are some of their key findings: https://t.co/vU0FaY0dhZ

ℏεsam

x.com

OASIS | Open Agents Social Interaction Simulations on One Million Agents

oasis.camel-ai.org

📖 Introduction

XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. It is designed to be a general-purpose agent that can be applied to a wide range of tasks. XAgent is still in its early stages, and we are working hard to improve it.

🏆 Our goal is to create a super-in... See more

OpenBMB • GitHub - OpenBMB/XAgent: An Autonomous LLM Agent for Complex Task Solving

Large language models are proficient in solving and creating emotional intelligence tests - Communications Psychology

Nils R. Sommer nature.com

Reasoning models - OpenAI API

platform.openai.com