14 citations · 39 across the 4 of their papers we have counts for
4 papers
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
Peter St. John, Dejun Lin, Polina Binder +89
Artificial Intelligence models encoding biology and chemistry are opening new routes to high-throughput and high-quality in-silico drug development. However, their training increas…
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira +2
Recently, large language models (LLMs) have exhibited significant progress in language understanding and generation. By leveraging textual features, customized LLMs are also applie…
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions
Adam Lesnikowski, Gabriel de Souza Pereira Moreira, Sara Rabhi +1
Synthetic data and simulators have the potential to markedly improve the performance and robustness of recommendation systems. These approaches have already had a beneficial impact…
Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation
Gabriel de Souza P. Moreira, Sara Rabhi, Ronay Ak +2
Session-based recommendation is an important task for e-commerce services, where a large number of users browse anonymously or may have very distinct interests for different sessio…