{"slug": "plane-meta-planning-of-data-tuning-and-inference-for-extractive-based-llms", "title": "PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs", "summary": "Researchers propose PlanE, a planning framework for extractive-based large language models (LLMs) that includes data decomposition, instruction tuning, and prompt inference, along with a Data-Tuning-Inference (DTI) planner to select optimal base-LLM and DTI combinations. Experimental results show effectiveness across different datasets and base-LLMs, with codes available on GitHub.", "body_md": "arXiv:2607.20470v1 Announce Type: new\nAbstract: Enhancing the task-specific capabilities of Large Language Models (LLMs) primarily requires substantial instruction-tuning datasets. However, the sheer volume of such data imposes a considerable annotation cost, and a lack of optimization methods for tailoring LLMs to specific tasks. To address the above issues, we propose a \\textbf{Plan}ning framework for constructing \\textbf{E}xtractive-based LLMs called \\textbf{PlanE}, which includes data decomposition, instruction tuning, and prompt inference. Additionally, we introduce a Data-Tuning-Inference (DTI) planner, aimed at selecting the optimal base-LLM and its DTI combinations for specific datasets to improve construction efficiency. The experimental results demonstrate the effectiveness of our PlanE from two views: (1) across different datasets using the same base-LLM, and (2) on the same dataset using different base-LLMs. Furthermore, we validate the generalizability of the proposed DTI planner under different optimization objectives. The codes are publicly available at https://github.com/gugugu-469/PlanE.", "url": "https://wpnews.pro/news/plane-meta-planning-of-data-tuning-and-inference-for-extractive-based-llms", "canonical_source": "https://arxiv.org/abs/2607.20470", "published_at": "2026-07-24 04:00:00+00:00", "updated_at": "2026-07-24 04:07:07.778150+00:00", "lang": "en", "topics": ["large-language-models", "artificial-intelligence", "ai-research", "ai-tools"], "entities": ["PlanE", "Data-Tuning-Inference (DTI) planner", "arXiv", "GitHub"], "alternates": {"html": "https://wpnews.pro/news/plane-meta-planning-of-data-tuning-and-inference-for-extractive-based-llms", "markdown": "https://wpnews.pro/news/plane-meta-planning-of-data-tuning-and-inference-for-extractive-based-llms.md", "text": "https://wpnews.pro/news/plane-meta-planning-of-data-tuning-and-inference-for-extractive-based-llms.txt", "jsonld": "https://wpnews.pro/news/plane-meta-planning-of-data-tuning-and-inference-for-extractive-based-llms.jsonld"}}