- Plug and Play Language Models: A Simple Approach to Controlled Text Generation
- Guide text generation with one or more simple attribute classifiers
- A three steps approach: forward, backward with respect to evaluation result from the classifier, forward
- Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
- Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation
- GeDi: Generative Discriminator Guided Sequence Generation
- Prefix-Tuning: Optimizing Continuous Prompts for Generation
- Only tuning the prefix vector works well on downstream tasks
- GPT Understands, Too
- The Power of Scale for Parameter-Efficient Prompt Tuning
- Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
- FUDGE: Controlled Text Generation With Future Discriminators
fine-tuning-with-steerable-layer's Introduction
fine-tuning-with-steerable-layer's People
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