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Found 5 papers, 1 papers with code
Physical formula enhanced multi-task learning for pharmacokinetics prediction
Overall, our work illustrates the benefits and potential of using PEMAL in AIDD and other scenarios with data scarcity and noise.
Large Language Models are In-Context Molecule Learners
Specifically, ICMA incorporates the following three stages: Hybrid Context Retrieval, Post-retrieval Re-ranking, and In-context Molecule Tuning.
ChemLLM: A Chemical Large Language Model
However, the community lacks an LLM specifically designed for chemistry.
An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation
Results display a general phenomenon of over-fitting from two aspects, the pitch embedding space and the test loss of the single-token grid encoding.
Minimax Weight Learning for Absorbing MDPs
Reinforcement learning policy evaluation problems are often modeled as finite or discounted/averaged infinite-horizon MDPs.
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