[TarqDirtyToMe]

My understanding is that in an academic context you’ll hear alignment anytime a model is tuned to accomplish a certain task, not just to steer its political affiliation and idea of ethics

I don’t think this models use of alignment implies any sort of censorship, it’s just being tuned to accomplish the task of outputting only important tokens for the target llm

[smeagull]

In my experience it means the AI will waste tokens apologizing for it's short comings and ignoring task prompts in favour of it's alignment.

[TarqDirtyToMe]

This does not seem relevant to the alignment discussed in the paper. It seems to be explicitly out of scope:

> The potential harmful, false or biased responses using the compressed prompts would likely be unchanged. Thus using LLMLingua has no inherent benefits or risks when it comes to those types of responsible AI issues.