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PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models

cs.AI updates on arXiv.org·
AI Analysis

PlanningBench introduces a new framework for generating scalable and verifiable planning data to enhance the evaluation and training of large language models (LLMs). This innovation aims to improve LLM performance on complex planning tasks by providing a more adaptable and realistic data generation approach.

Key Topics

PlanningBenchlarge language modelsreinforcement learningAI

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models | AI Crypto Daily Wire