{
  "$type": "site.standard.document",
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  "path": "/t/prompt-driven-tool-calling-for-lightweight-open-source-llms-ais2c2-2025-paper/176978#post_1",
  "publishedAt": "2026-06-19T09:47:44.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "https://www.aiscindia.co.in/wp-content/uploads/2026/06/ilovepdf_merged-4.pdf"
  ],
  "textContent": "Hi Hugging Face community\n\nI’m excited to share my recent research work published at AIS2C2 2025.\n\n* * *\n\n##  Paper: Prompt-Driven Tool-Calling for Lightweight Open Source LLMs\n\nThis research explores how **lightweight open-source LLMs** can perform complex tasks using a **prompt-driven tool-calling framework** , without relying on large proprietary models.\n\n* * *\n\n##  Problem Statement\n\nMost small LLMs struggle with:\n\n  * Multi-step reasoning\n  * Tool usage (APIs, calculators, search tools)\n  * Complex task decomposition\n\n\n\nLarge models solve this, but they are expensive and not always deployable.\n\n* * *\n\n##  Proposed Idea\n\nWe introduce a **prompt-driven approach** that enables LLMs to:\n\n  * Decide when to use tools\n  * Select appropriate tools dynamically\n  * Chain multiple reasoning steps\n  * Reduce dependency on large models\n\n\n\n* * *\n\n##  Key Benefits\n\n  * Works with lightweight open-source LLMs\n  * Reduces compute requirements\n  * Enables AI agent-like behavior\n  * Practical for real-world deployment\n\n\n\n* * *\n\n##  Paper Link\n\nhttps://www.aiscindia.co.in/wp-content/uploads/2026/06/ilovepdf_merged-4.pdf\n\n* * *\n\n##  Looking for Feedback\n\nI would love feedback from the community on:\n\n  * Better tool-calling strategies\n  * Improvements for lightweight agents\n  * Open-source implementations\n\n\n\nThank you!",
  "title": "Prompt-Driven Tool-Calling for Lightweight Open Source LLMs (AIS2C2 2025 Paper)"
}