Oct 4, 2023 · In this paper, we introduce JsonTuning, a novel structure-to-structure approach for instruction tuning. By utilizing the versatile and structured format of ...
This paper proposes JsonTuning, a novel structure-to-structure approach for instruction tuning. It leverages the widely used JSON format and uses the structured ...
May 24, 2024 · We conduct a comprehensive comparative analysis between JsonTuning and TextTuning using various language models and evaluation benchmarks. Our ...
In this paper, we propose JsonTuning, a novel structure-to-structure approach for instruction tuning. By leveraging the versatility and structured nature of ...
In this paper, we propose JsonTuning, a novel structure-to-structure approach for instruction tuning. By leveraging the versatility and structured na- ture of ...
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning. #LLM · https://arxiv.org/abs/2310.02953. Most related.
Instruction tuning has become an essential process for optimizing the performance of large language models (LLMs). However, current text-to-text instruction ...
Preprints. JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning ... Towards Generalizable and Robust Text-to-SQL Parsing. Chang ...
JsonTuning JsonTuning Public. JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning. Python 10 · UniGDD UniGDD Public. UniGDD: A ...
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning. C Gao, W Zhang, G Chen, W Lam. arXiv preprint arXiv:2310.02953, 2023. 4, 2023.