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Found 6 papers, 1 papers with code
AMPCliff: quantitative definition and benchmarking of activity cliffs in antimicrobial peptides
Our analysis reveals that these models are capable of detecting AMP AC events and the pre-trained protein language ESM2 model demonstrates superior performance across the evaluations.
Large Language Models in Finance: A Survey
In this paper, we provide a practical survey focused on two key aspects of utilizing LLMs for financial tasks: existing solutions and guidance for adoption.
A Practical Survey on Zero-shot Prompt Design for In-context Learning
The remarkable advancements in large language models (LLMs) have brought about significant improvements in Natural Language Processing(NLP) tasks.
Utilizing Large Language Models for Natural Interface to Pharmacology Databases
The drug development process necessitates that pharmacologists undertake various tasks, such as reviewing literature, formulating hypotheses, designing experiments, and interpreting results.
Self-Supervised Image Representation Learning: Transcending Masking with Paired Image Overlay
Self-supervised learning has become a popular approach in recent years for its ability to learn meaningful representations without the need for data annotation.
A General Framework on Enhancing Portfolio Management with Reinforcement Learning
Portfolio management is the art and science in fiance that concerns continuous reallocation of funds and assets across financial instruments to meet the desired returns to risk profile.
