AgentBench vs Awesome-LLM-in-Social-Science
AgentBench: AgentBench is a comprehensive benchmark for evaluating Large Language Models (LLMs) as agents across diverse environments, now featuring a function-calling version integrated with AgentRL. It provides a containerized setup for various tasks like OS interaction, database operations, and web shopping, enabling robust and reproducible agent evaluation.; Awesome-LLM-in-Social-Science: This repository curates a comprehensive collection of papers focusing on the intersection of Large Language Models and Social Science. It covers evaluation, alignment, application, surveys, and datasets, with a special emphasis on Psychology and intrinsic values.
TL;DR
Systematically benchmark the performance of various LLM-based agents.
Evaluating LLM characteristics (e.g., values, personality, morality) from a social science perspective
Side-by-Side Comparison
AgentBenchAwesome-LLM-in-Social-ScienceFeatures
AgentBenchAwesome-LLM-in-Social-ScienceUse Cases
AgentBenchAwesome-LLM-in-Social-ScienceBest For
AgentBenchAwesome-LLM-in-Social-ScienceFAQ
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