2 citations · 5 across the 20 of their papers we have counts for
3 papers · 1 filter
Interpretable Perturbation Modeling Through Biomedical Knowledge Graphs
Pascal Passigan, Kevin Zhu, Angelina Ning
Understanding how small molecules perturb gene expression is essential for uncovering drug mechanisms, predicting off-target effects, and identifying repurposing opportunities. Whi…
ASCIIBench: Evaluating Language-Model-Based Understanding of Visually-Oriented Text
Kerry Luo, Michael Fu, Joshua Peguero +6
Large language models (LLMs) have demonstrated several emergent behaviors with scale, including reasoning and fluency in long-form text generation. However, they continue to strugg…
Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models
Kaustubh Kislay, Shlok Singh, Soham Joshi +4
Symbolic Regression remains an NP-Hard problem, with extensive research focusing on AI models for this task. Transformer models have shown promise in Symbolic Regression, but perfo…