PepMLM: Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling

1 code implementation • 5 Oct 2023 • Tianlai Chen, Sarah Pertsemlidis, Rio Watson, Venkata Srikar Kavirayuni, Ashley Hsu, Pranay Vure, Rishab Pulugurta, Sophia Vincoff, Lauren Hong, Tian Wang, Vivian Yudistyra, Elena Haarer, Lin Zhao, Pranam Chatterjee

Target proteins that lack accessible binding pockets and conformational stability have posed increasing challenges for drug development.

Benchmarking Language Modelling +1

PETA: Parameter-Efficient Trojan Attacks

no code implementations • 1 Oct 2023 • Lauren Hong, Ting Wang

Parameter-efficient fine-tuning (PEFT) enables efficient adaptation of pre-trained language models (PLMs) to specific tasks.

Bilevel Optimization

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

1 code implementation • 31 Jul 2023 • Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun

Based on ToolBench, we fine-tune LLaMA to obtain an LLM ToolLLaMA, and equip it with a neural API retriever to recommend appropriate APIs for each instruction.

Trajectory Planning Zero-shot Generalization

Monitoring and Adapting ML Models on Mobile Devices

no code implementations • 12 May 2023 • Wei Hao, Zixi Wang, Lauren Hong, Lingxiao Li, Nader Karayanni, Chengzhi Mao, Junfeng Yang, Asaf Cidon

ML models are increasingly being pushed to mobile devices, for low-latency inference and offline operation.