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Tianyi (Alex) Qiu commited on
Commit ·
89ebaab
1
Parent(s): 21746fb
add about info
Browse files- src/about.py +2 -0
src/about.py
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@@ -31,6 +31,8 @@ INTRODUCTION_TEXT = """
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Human values are evolving and have undergone huge, continual progress over the past millennium. Values embedded into the LLMs need to undergo the same process, or else we risk *locking-in* current human values by putting humans into an echo chamber of like-minded LLMs. This concern is especially salient when LLMs have become personal assistants, romantic partners, K-12 educators, etc., and [psychological studies](https://arxiv.org/abs/2302.00560) have demonstrated very significant impact of LLMs on human views.
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ProgressGym-LeaderBoard is an open leaderboard for *progress alignment* algorithms - algorithms which learn and emulate the mechanics of moral progress, in order to facilitate continual improvements in real-world value decisions. Refer to the [ProgressGym paper](https://arxiv.org/abs/2406.20087) for more details.
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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Human values are evolving and have undergone huge, continual progress over the past millennium. Values embedded into the LLMs need to undergo the same process, or else we risk *locking-in* current human values by putting humans into an echo chamber of like-minded LLMs. This concern is especially salient when LLMs have become personal assistants, romantic partners, K-12 educators, etc., and [psychological studies](https://arxiv.org/abs/2302.00560) have demonstrated very significant impact of LLMs on human views.
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ProgressGym-LeaderBoard is an open leaderboard for *progress alignment* algorithms - algorithms which learn and emulate the mechanics of moral progress, in order to facilitate continual improvements in real-world value decisions. Refer to the [ProgressGym paper](https://arxiv.org/abs/2406.20087) for more details.
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We want this space to be both a leaderboard and an interactive playground for researchers to explore and develop progress alignment algorithms. We are currently working to build the latter part - please [stay tuned](https://docs.google.com/forms/d/e/1FAIpQLSd0ofaMypr7YJhUbdjNgaEQ3BV2aam5joCM7pLj1IRvprLrYA/viewform) for updates!
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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