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Evidence record 4473 · automatically gathered

Multimodal Alignment and Preference Optimization for Zero-Shot Conditional RNA Generation

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 modeling and deep learning-based protein design, there remains significant room to improve the frequency of successful interactions and the authenticity of generated sequences for functional applications. In this work, we frame conditional RNA sequence generation as a multi-stage alignment problem, introducing Moirain: a s

Record details

Published: 12 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Biotech
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Safety & alignment · Shared topic: Biotech

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How to cite this record

ethics.ai (12 May 2026), “Multimodal Alignment and Preference Optimization for Zero-Shot Conditional RNA Generation,” evidence record 4473, https://ethics.ai/record/4473 (originally published by arXiv).

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