Long answers from GPT are unusually obnoxious because of a way the decoder works; it emits words with a much more constant rate of perplexity than human text does (this is how GPT-vs-human detectors work) which makes it sound stuffy and monotone.
Long answers from GPT are unusually obnoxious because of a way the decoder works; it emits words with a much more constant rate of perplexity than human text does (this is how GPT-vs-human detectors work) which makes it sound stuffy and monotone.
Something like "Think about it first, before you give the answer". Could it be that ChatGPT is being forced in this direction?
https://openai.com/blog/chatgpt/
> The model is often excessively verbose and overuses certain phrases, such as restating that it’s a language model trained by OpenAI. These issues arise from biases in the training data (trainers prefer longer answers that look more comprehensive) and well-known over-optimization issues.12
> Stiennon, Nisan, et al. “Learning to summarize with human feedback.” Advances in Neural Information Processing Systems 33 (2020): 3008-3021. ↩
> Gao, Leo, John Schulman, and Jacob Hilton. “Scaling Laws for Reward Model Overoptimization.” arXiv preprint arXiv:2210.10760 (2022). ↩