fwenoir on Nostr: ## Introducing GPT-4 Summarization with Chain of Density Prompting - Researchers from ...
## Introducing GPT-4 Summarization with Chain of Density Prompting
- Researchers from institutions like Columbia University have developed a "Chain of Density" (CoD) prompting method for generating GPT-4 summaries with varying information density.
- The CoD method iteratively incorporates missing salient entities from the original text into the previous summary, making it increasingly entity-dense without changing the summary length.
- Human preference studies show that people prefer denser summaries than those generated by standard GPT-4 prompts, with these summaries being almost as dense as human-written ones.
- The research team conducted human and automatic evaluations on 100 CNN DailyMail articles to better understand the trade-off between informativeness (favoring more entities) and clarity (favoring fewer entities).
- The study provides 500 annotated CoD summaries and an additional 5,000 unannotated summaries for evaluation or distillation.
#AI #LLM #GPT #GPT-4
🔗 Learn more: [2309.04269.pdf](https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/1019777/d1249c62-2da9-4810-9797-cac455065e49/2309.04269.pdf)
- Researchers from institutions like Columbia University have developed a "Chain of Density" (CoD) prompting method for generating GPT-4 summaries with varying information density.
- The CoD method iteratively incorporates missing salient entities from the original text into the previous summary, making it increasingly entity-dense without changing the summary length.
- Human preference studies show that people prefer denser summaries than those generated by standard GPT-4 prompts, with these summaries being almost as dense as human-written ones.
- The research team conducted human and automatic evaluations on 100 CNN DailyMail articles to better understand the trade-off between informativeness (favoring more entities) and clarity (favoring fewer entities).
- The study provides 500 annotated CoD summaries and an additional 5,000 unannotated summaries for evaluation or distillation.
#AI #LLM #GPT #GPT-4
🔗 Learn more: [2309.04269.pdf](https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/1019777/d1249c62-2da9-4810-9797-cac455065e49/2309.04269.pdf)