Summary of Robo-instruct: Simulator-augmented Instruction Alignment For Finetuning Codellms, by Zichao Hu et al.
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning CodeLLMs
by Zichao Hu, Junyi Jessy Li, Arjun Guha, Joydeep Biswas
First submitted to arxiv on: 30 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces ROBO-INSTRUCT, a system that combines open-weight language models (LLMs) with robot simulators to generate training data for fine-tuning code LLMs on domain-specific service robot applications. Open-weight LLMs are cost-effective and customizable, but they produce programs that often violate domain-specific constraints. To address this issue, ROBO-INSTRUCT uses a well-defined environment to verify program correctness and dynamically synthesizes consistent simulation environments for each generated program. The system also handles subtler instruction-program inconsistencies via INSTALIGN, an LLM-aided alignment process. Experimental results show that the fine-tuned model achieves significant improvements in pass@1 over the original base model and outperforms proprietary LLMs such as GPT-3.5-Turbo and Gemini-Pro. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper uses special language models to help robots do tasks better. These models are like templates for writing code, but they can make mistakes. To fix this, the researchers created a system that checks the code’s correctness using a simulator. The system makes sure the code works by creating a fake environment and checking if it follows the rules. It also helps with small mistakes that don’t affect the overall result. In tests, the fine-tuned model performed better than before and even beat other models like GPT-3.5-Turbo and Gemini-Pro. |
Keywords
» Artificial intelligence » Alignment » Fine tuning » Gemini » Gpt
