Research paper proposing a unified language model architecture capable of handling multiple objectives through controllable inference. The work addresses the challenge of creating single models that can adapt to diverse task requirements without separate fine-tuning.
Research
One Model for All: Multi-Objective Controllable Language Models
Researchers propose a single-model architecture that adapts to multiple objectives via controllable inference, eliminating separate fine-tuning overhead for different tasks.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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