1 code implementation • 23 Apr 2024 • Yang Tan, Mingchen Li, Bingxin Zhou, Bozitao Zhong, Lirong Zheng, Pan Tan, Ziyi Zhou, Huiqun Yu, Guisheng Fan, Liang Hong
Fine-tuning Pre-trained protein language models (PLMs) has emerged as a prominent strategy for enhancing downstream prediction tasks, often outperforming traditional supervised learning approaches.
1 code implementation • 26 Oct 2023 • Yang Tan, Mingchen Li, Pan Tan, Ziyi Zhou, Huiqun Yu, Guisheng Fan, Liang Hong
Moreover, despite the wealth of benchmarks and studies in the natural language community, there remains a lack of a comprehensive benchmark for systematically evaluating protein language model quality.
1 code implementation • 3 Sep 2023 • Yang Tan, Mingchen Li, Zijie Huang, Huiqun Yu, Guisheng Fan
Generative large language models (LLMs) have shown great success in various applications, including question-answering (QA) and dialogue systems.