Image Of A Prompt In A Research Paper
%20providing%20controllable%20aggregation%20of%20token-level%20salience%20to%20the%20word%2C%20sentence%2C%20or%20paragraph%20level%2C%20making%20salience%20over%20long%20inputs%20tractable%3B%20and%202)%20supporting%20rapid%20iteration%20where%20practitioners%20can%20act%20on%20salience%20results%2C%20refine%20prompts%2C%20and%20run%20salience%20on%20the%20new%20output.%20We%20include%20case%20studies%20showing%20how%20Sequence%20Salience%20can%20help%20practitioners%20work%20with%20several%20complex%20prompting%20strategies%2C%20including%20few-shot%2C%20chain-of-thought%2C%20and%20constitutional%20principles.%20Sequence%20Salience%20is%20built%20on%20the%20Learning%20Interpretability%20Tool%2C%20an%20open-source%20platform%20for%20ML%20model%20visualizations%2C%20and%20code%2C%20notebooks%2C%20and%20tutorials%20are%20available%20at%20https:%2F%2Fgoo.gle%2Fsequence-salience.)
.%20PRIP%20innovatively%20uses%20the%20latent%20representation%20of%20a%20user-preferred%20image%20as%20an%20intermediary%20pivot%20between%20the%20user%20and%20system%20languages.%20It%20decomposes%20the%20refinement%20process%20into%20two%20data-rich%20tasks:%20inferring%20representations%20of%20user-preferred%20images%20from%20user%20languages%20and%20subsequently%20translating%20image%20representations%20into%20system%20languages.%20Thus%2C%20it%20can%20leverage%20abundant%20data%20for%20training.%20Extensive%20experiments%20show%20that%20PRIP%20substantially%20outperforms%20a%20wide%20range%20of%20baselines%20and%20effectively%20transfers%20to%20unseen%20systems%20in%20a%20zero-shot%20manner.)
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objective.%0A%20%20We%20evaluate%20the%20efficacy%20of%20meta-instructions%20for%20multiple%20visual%20language%20models%20and%20adversarial%20meta-objectives%2C%20and%20demonstrate%20how%20they%20can%20''unlock''%20capabilities%20of%20the%20underlying%20language%20models%20that%20are%20unavailable%20via%20explicit%20text%20instructions.%20We%20describe%20how%20meta-instruction%20attacks%20could%20cause%20harm%20by%20enabling%20creation%20of%20malicious%2C%20self-interpreting%20content%20that%20carries%20spam%2C%20misinformation%2C%20and%20spin.%20Finally%2C%20we%20discuss%20defenses.)
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