7 papers
The Brazilian Vaccination Debate on YouTube: Topics, Perspectives, and Engagement Dynamics
Matheus S. Azevedo, Geovana S. de Oliveira, Andrea Failla +4
Vaccination debates are central to online public health communication, as COVID-19 intensified disputes over scientific authority, institutional trust, and political identity. Yet…
CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization
Henrique Assumpção, Diego Ferreira, Leandro Campos +1
We introduce CodeEvolve, an open-source framework that couples large language models with island-based evolutionary search for end-to-end algorithmic discovery. CodeEvolve integrat…
PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question Answering
Yiqing Zhang, Xiaozhong Liu, Fabricio Murai
Trustworthy biomedical question answering (QA) systems must not only provide accurate answers but also justify them with current, verifiable evidence. Retrieval-augmented approache…
Who Shapes Brazil's Vaccine Debate? Semi-Supervised Modeling of Stance and Polarization in YouTube's Media Ecosystem
Geovana S. de Oliveira, Ana P. C. Silva, Fabricio Murai +1
Vaccination remains a cornerstone of global public health, yet the COVID-19 pandemic exposed how online misinformation, political polarization, and declining institutional trust ca…
CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs
Yiqing Zhang, Xiaozhong Liu, Fabricio Murai
Many existing models for clinical trial outcome prediction are optimized using task-specific loss functions on trial phase-specific data. While this scheme may boost prediction for…
KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model
Kai Zhang, Rui Zhu, Shutian Ma +4
Drug discovery is a critical task in biomedical natural language processing (NLP), yet explainable drug discovery remains underexplored. Meanwhile, large language models (LLMs) hav…