126 - Optimizing Continuous Prompts for Generation, with Lisa Li
NLP Highlights
Complexity of encoder vs decoder in language tasks
Comparing summarization and tables to text tasks, the encoder plays a more significant role in summarization, while the decoder is crucial for grouping information in tables to text./nPerformance improvement in summarization can be achieved by focusing on enhancing the encoder rather than relying solely on prefixing./nThe paper P2A suggests that jointly using prefix tuning and fine tuning may be most effective for encoder-based tasks like NOU benchmarks./nFor the encoding of summarization information, finding is a recommended option for better results.
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