DoorDash Engineering Blog

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DoorDash Engineering Blog

DoorDash Engineering Blog

@DoorDashEng

DoorDash’s diverse and inclusive engineering organization builds innovative and reliable technology solutions that empower local economies.

San Francisco, CA Katılım Ağustos 2020
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Peter Ahnn
Peter Ahnn@PeterAhnnDD·
Proud to have been a part of this effort! PLUS shows that optimized user summaries outperform vector embeddings and ICL for personalization and better align LLMs to real user diversity. This is one of the core ideas we’re exploring at DoorDash to drive AI-powered personalization.
Alex Nam@hjalexnam

Excited to share that "Learning to summarize user information for personalized reinforcement learning from human feedback" is accepted to ICLR. TL;DR We can train a conversation summarizer with RL to capture diverse user preferences for pluralistic LLM alignment. w/ @natashajaques @mickel_liu @yanming_wan @PeterAhnnDD arxiv: arxiv.org/abs/2507.13579 website: sites.google.com/stanford.edu/p… code: github.com/nam630/plurali…

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