Papers with Meta-Tool
Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models (2026.findings-acl)
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| Challenge: | Using a Llama-3.2-3B-Instruct backbone, we evaluate four adaptation mechanisms across four benchmarks: Gorilla APIBench, Spider 2.0, WebArena, and InterCode. |
| Approach: | They compare hypernetwork-based LoRA adaptation against carefully designed few-shot prompting in a controlled experiment . they find that few- shot prompting contributes +21.5% to performance and documentation contributes 0% . |
| Outcome: | The hypernetwork-based LoRA adaptation provides no measurable improvement over few-shot prompting alone. |
Meta-Tool: Unleash Open-World Function Calling Capabilities of General-Purpose Large Language Models (2025.acl-long)
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| Challenge: | Large language models struggle with addressing diverse user inquiries in open-world tasks. |
| Approach: | They propose a plug-and-play tool retrieval system for LLMs to access external tool library and use retrieved tools to solve user's problem. |
| Outcome: | The proposed model improves on a finetuned version of LLaMA-3.1 and 2,800 dialogues and 7,361 tools spanning ten distinct test categories. |