Papers by Youyang Ng
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models (2023.emnlp-demo)
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Yasuto Hoshi, Daisuke Miyashita, Youyang Ng, Kento Tatsuno, Yasuhiro Morioka, Osamu Torii, Jun Deguchi
| Challenge: | Existing libraries for building R-LLMs provide high-level abstractions without sufficient transparency for evaluating and optimizing prompts within specific inference processes. |
| Approach: | They propose an open-source framework to facilitate the development, evaluation, and optimization of R-LLMs for knowledge-intensive tasks. |
| Outcome: | The framework improves hand-crafted prompts, inference processes and quantitatively measures overall system performance. |