Search Results for author: Runcheng Liu

Found 3 papers, 2 papers with code

Attribute Controlled Dialogue Prompting

no code implementations • 11 Jul 2023 • Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart

Prompt-tuning has become an increasingly popular parameter-efficient method for adapting large pretrained language models to downstream tasks.

Attribute Dialogue Generation

Paper
Add Code

PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

1 code implementation • 5 Jun 2022 • Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang

However, there is a lack of a standard benchmark to evaluate the performance of different methods, which hinders the progress of deep learning in this field.

Feature Engineering Multi-Task Learning +2

Paper
Code

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

1 code implementation • 16 Feb 2022 • Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Junkun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal Xhonneux, Meng Qu, Jian Tang

However, lacking domain knowledge (e. g., which tasks to work on), standard benchmarks and data preprocessing pipelines are the main obstacles for machine learning researchers to work in this domain.

BIG-bench Machine Learning Drug Discovery +2

1,389

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.