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Found 4 papers, 1 papers with code
The (In)Effectiveness of Intermediate Task Training For Domain Adaptation and Cross-Lingual Transfer Learning
Transfer learning from large language models (LLMs) has emerged as a powerful technique to enable knowledge-based fine-tuning for a number of tasks, adaptation of models for different domains and even languages.
Sentiment is all you need to win US Presidential elections
Election speeches play an integral role in communicating the vision and mission of the candidates.
Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning
Macromolecules are large, complex molecules composed of covalently bonded monomer units, existing in different stereochemical configurations and topologies.
GLAMOUR: Graph Learning over Macromolecule Representations
The near-infinite chemical diversity of natural and artificial macromolecules arises from the vast range of possible component monomers, linkages, and polymers topologies.
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