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OpenESM: Energy-Steered Models Are Scalable Foundation Learners
Guan Wang, Author 2, Author 3, Author 4, Author 5
energy-based modelslanguage modelingscalabilitytoken generation
2610.33005
Builder Relevance
1h ago80%
Abstract
Energy-steered models (ESMs) integrate energy steering and token generation to enhance foundational language modeling.
Reality Card
Core Claim
ESMs outperform GPTs on most downstream tasks and demonstrate promising scaling behaviors with increased model size and training data.
Method / Result
ESMs were evaluated across 26 downstream tasks, showing superior performance compared to GPTs.
Limitations
The main limitation is the potential complexity in reproducing the energy-guided pre-training process.
Paper to code
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