Latest Research in Machine Learning

10 research papers · 2026 median publication year

Top Research Topics in Machine Learning

Highest-Cited Papers

  1. A Multitask Large Reasoning Model for Molecular Science
  2. Line-Graph Node Centrality in Retrosynthesis
  3. A Deep-Mining and Efficient Architecture Integrating Generative Modeling, Adaptive Optimization, and Multi-Task Prediction for Multi-Objective Solvent Design
  4. Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search
  5. SynOmega: Simplifying Retrosynthesis for Efficient Synthesizability Scoring
  6. Metabolic engineering and deep learning-driven protein engineering for N-Acetylneuraminic acid biosynthesis in Escherichia coli
  7. MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery
  8. Mechanistic Reaction Prediction via Discrete Flow Matching on Graph-Structured Electron Occupation
  9. Packora: Systematic Design for Generative Molecular Crystal Structure Prediction
  10. Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs
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L3 Region - - 2026 Sep Q3
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