I’m really not all that familiar with the space so I could be mistaking. The definition of ai alignment on Wikipedia says an aligned model one that “advances intended objectives”.
In the paper, “distribution alignment” is one of methods used to improve the results of compression so intent is preserved:
> To narrow the gap between the distribution of the
LLM and that of the small language model used for prompt compression, here we align the two distributions via instruction tuning
So in any case for this paper alignment seems to be used in very specific way that doesn’t seem related to censorship
Edit: would to love to hear from someone who has a better understanding of the paper to clarify. I am operating from the position of layman here
In the paper, “distribution alignment” is one of methods used to improve the results of compression so intent is preserved:
> To narrow the gap between the distribution of the LLM and that of the small language model used for prompt compression, here we align the two distributions via instruction tuning
So in any case for this paper alignment seems to be used in very specific way that doesn’t seem related to censorship
Edit: would to love to hear from someone who has a better understanding of the paper to clarify. I am operating from the position of layman here