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When static datasets lead to static ideas
Why I left the beaten path for my position bias in features paper
Apr 8
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Richard Demsyn-Jones
March 2024
Benchmark datasets for learning-to-rank
The use and history of the most important datasets in the field
Mar 11
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Richard Demsyn-Jones
February 2024
Position bias in features
What happens when model features depend on prior ranking
Feb 12
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Richard Demsyn-Jones
August 2023
A story about validating language models
This happened some time ago, but it has some good lessons. How can you build confidence in the trustworthiness of a language model, that it will never…
Aug 14, 2023
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Richard Demsyn-Jones
July 2023
A model of everything
Challenges with building models of an entire business
Jul 17, 2023
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Richard Demsyn-Jones
June 2023
What do we mean by inductive bias and expressiveness?
The choices we make about how models make choices
Jun 19, 2023
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Richard Demsyn-Jones
Unraveling Deep & Cross Networks
Explaining an effective recent method for automatic feature crosses
Jun 5, 2023
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Richard Demsyn-Jones
May 2023
Two-tower models for ranking problems
Summarizing recent papers and their disagreements
May 22, 2023
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Richard Demsyn-Jones
The rise of GELU
Looking back at how GPT and other modern models ended up using GELU, and reviewing whether we have much substantial evidence for using GELU.
May 8, 2023
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Richard Demsyn-Jones
April 2023
Profit-maximizing experimentation regimes
Explicitly modeling our sample allocation and decision rules to optimize some metric of choice, rather than using arbitrary hypothesis testing rules.
Apr 24, 2023
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Richard Demsyn-Jones
p < 0.05 considered harmful
The unreasonable persistence of an old standard
Apr 10, 2023
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Richard Demsyn-Jones
March 2023
What is an embedding, anyways?
Pinning down a common yet elusive concept
Mar 27, 2023
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Richard Demsyn-Jones
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