1 citations · 1 across the 3 of their papers we have counts for
4 papers
Multimodal Alignment and Preference Optimization for Zero-Shot Conditional RNA Generation
Roman Klypa, Alberto Bietti, Sergei Grudinin
The design of RNA molecules that interact with specific proteins is a critical challenge in experimental and computational biology. Despite recent progress in natural language mode…
Diversity in Large Language Models under Supervised Fine-Tuning
Roman Klypa, Oleksandr Cherednichenko
Supervised Fine-Tuning (SFT) is essential for aligning Large Language Models (LLMs) with user intent, yet it is believed to suppress generative diversity. Although this reduction i…
MIMIC: A Generative Multimodal Foundation Model for Biomolecules
Siavash Golkar, Jake Kovalic, Irina Espejo Morales +28
Biological function emerges from coupled constraints across sequence, structure, regulation, evolution, and cellular context, yet most foundation models in biology are trained with…
BAnG: Bidirectional Anchored Generation for Conditional RNA Design
Roman Klypa, Alberto Bietti, Sergei Grudinin
Designing RNA molecules that interact with specific proteins is a critical challenge in experimental and computational biology. Existing computational approaches require a substant…