TaxDistill: Improving Metagenomic Taxonomic Annotation via Distilled Genomic Foundation Models

arXiv:2605.28868 · cs.LG, cs.AI · Submitted 2026-05-22 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-05-22

Updated: 2026-09-30

Terminology

• Foundation Model — 2× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Knowledge Distillation — 1× in this paper · explained in 12 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks