Prompt-Driven Tool-Calling for Lightweight Open Source LLMs (AIS2C2 2025 Paper)

Hi Hugging Face community

I’m excited to share my recent research work published at AIS2C2 2025.

Paper: Prompt-Driven Tool-Calling for Lightweight Open Source LLMs

This research explores how lightweight open-source LLMs can perform complex tasks using a prompt-driven tool-calling framework , without relying on large proprietary models.

Problem Statement

Most small LLMs struggle with:

• Multi-step reasoning
• Tool usage (APIs, calculators, search tools)
• Complex task decomposition

Large models solve this, but they are expensive and not always deployable.

Proposed Idea

We introduce a prompt-driven approach that enables LLMs to:

• Decide when to use tools
• Select appropriate tools dynamically
• Chain multiple reasoning steps
• Reduce dependency on large models

Key Benefits

• Works with lightweight open-source LLMs
• Reduces compute requirements
• Enables AI agent-like behavior
• Practical for real-world deployment

Paper Link

https://www.aiscindia.co.in/wp-content/uploads/2026/06/ilovepdf_merged-4.pdf

Looking for Feedback

I would love feedback from the community on:

• Better tool-calling strategies
• Improvements for lightweight agents
• Open-source implementations

Thank you!