5).
Persona effects in language models are predictable but not portable
Across 57 attributes and seven model pairs, gains from persona prompts transfer poorly between models and rewording, while regularized updates often beat reuse.
Big Tech
Yufan Zhou · Yuxuan Liu · Enze Ma · Lyumanshan Ye · Zhongqi Yue · Robin De Croon · +3 more
KU Leuven · East China University of Science and Technology · University of Illinois Chicago · Shanghai Jiao Tong University · Microsoft Research
Research Digest··2 min read
Zhou et al.
Why this paper
From Microsoft Research and 6 others · Released code
In one line
Persona effects in LLMs are predictable within a setting but do not transfer across models or prompts.
What it released
Code
What we could check
- ✓Code link in the paper (github.com)
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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