Sanmi Koyejo
@sanmikoyejo
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I lead @stai_research at Stanford.
Stanford, CA
Joined September 2014
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"Are Emergent Abilities of Large Language Models a Mirage?" is a NeurIPS outstanding paper!🙌🏿
Congrats especially to the students
@RylanSchaeffer
@BrandoHablando
& other awardees.
If you want to learn more, check out the oral & poster 👇🏿this afternoon (Dec 14)
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**Test of Time**
Distributed Representations of Words and Phrases and their Compositionality
**Outstanding Main Track Papers**
Privacy Auditing with One (1) Training Run
Are Emergent Abilities of Large Language Models a Mirage?
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My first tweet!
I'm excited to share my recent interview on Metric Elicitation and Robust Distributed Learning with
@samcharrington
for the
@twimlai
podcast. Check it out! via
@twimlai
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#NeurIPS2020
will be holding a symposium on the COVID-19 response in the
@NeurIPSConf
community. We ask that you do not submit workshop/symposium proposals that are entirely on the same topic. We are happy to consider workshops with additional and/or complimentary themes.
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(Re-) examining some of the emergence claims in large language models. Turns out the metrics matter!
Work with
@RylanSchaeffer
and
@BrandoHablando
We had meant to keep this under wraps for a few weeks, but it seems that the cat is out of the bag. Excited to announce our newest preprint!!
**Are Emergent Abilities of Large Language Models a Mirage?**
Joint w/
@sanmikoyejo
&
@BrandoHablando
1/12
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Welcome!!!
Excited to share I’ll be joining be joining as an Assistant Professor at
@CornellInfoSci
@Cornell_Tech
in Summer 2025! This coming year I’ll be a postdoc at
@StanfordHAI
with
@SanmiKoyejo
and Daniel Ho 🎈
I am so grateful to all of my mentors, friends, family. Come visit!
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Location & time for our paper: "Are Emergent Abilities of Large Language Models a Mirage?"
#NeurIPS2023
Presentation: 3:20pm, CST Hall C2 (level 1 gate 9 south of food court)
Poster:
#1108
, 5pm CST, Great Hall & Hall B1+B2 (level 1)
Paper link:
2/2
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Are you interested in human or algorithmic challenges when learning from human feedback? Check out the
@StanfordHAI
Postdoc with
@msbernst
and me starting Fall 2023. Information here:
Postdoc position: How should people and communities articulate how AIs should navigate difficult tradeoffs? Prof.
@sanmikoyejo
and I have a jointly mentored postdoctoral scholar position open at
@Stanford
CS starting in the fall. Information here:
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This was published a while ago, but I just noticed it.
@theafricaiknow_
Thanks for the interview and profile!
Previously, he held the position of Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Read full article:
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Great opportunity to learn a bit more about this work, led by
@sangttruong
!
alphaXiv has been a great platform for us to engage deeply with papers.
Author
@sangttruong
is on alphaXiv this week to answer questions on his latest paper “Crossing Linguistic Horizons”:
This paper focuses on expanding LLMs beyond English-speaking communities by introducing the first large-scale open-source Vietnamese
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@NeurIPSConf
#NeurIPS2020
workshop proposal deadline has been extended by one week. The new deadline is 3 July 2020. We will update the other due dates soon as we complete the planning of the virtual workshops.
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It was great to host you. Thanks for the awesome lecture and engagement with students!
I gave an RLHF lecture at Stanford today, here are the slides. The newer figures from other talks I've given:
* visuals on history of RLHF / related fields
* figures on advanced RL methods (CAI / DPO / rejection sampling)
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Are you at
#wsdm
and interested in Trustworthy Large Language Models? Come check out my tutorial with
@uiuc_aisecure
in Room 22B, starting at 8:30 AM.
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@russpoldrack
@tallinzen
@glupyan
@RylanSchaeffer
Some have argued that some improvements in model capabilities are unpredictable (along with a semi-precise definition of emergence). We argue that many claimed emergent capabilities are predictable, either using better statistics or alternative metrics. See thread for more.
We had meant to keep this under wraps for a few weeks, but it seems that the cat is out of the bag. Excited to announce our newest preprint!!
**Are Emergent Abilities of Large Language Models a Mirage?**
Joint w/
@sanmikoyejo
&
@BrandoHablando
1/12
11
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A friendly introduction to double descent, focusing on building intuition with linear models (see thread and links).
@SAIA_Alignment
@AnthropicAI
@daniela_witten
Joint work with
@sanmikoyejo
@KhonaMikail
@KaterynaPistun1
@FieteGroup
Jason, Zach & Akhilan
Comments, questions & feedback are welcome!
Paper:
Code:
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FedAvg / fine-tuning will fail in federated domain adaptation when the domain shift is large. To address this, we propose FedGP, an effective aggregation rule, and a theoretical framework showing why it works. . Exciting work with
@enyij2
and
@sanmikoyejo
.
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Congrats!!!
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Generative AI adoption is growing fast, but computational resources are not keeping up. Can adaptive pricing help, and how does one implement auctions for Generative AI? See some of our early work on this (led by Zachary Robertson).
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@autreche
@NeurIPSConf
From your title, the workshop proposal sounds like its broader than COVID-19 only and should be fine. Feel free to contact us directly if you need more details. We will be happy to answer.
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