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Ryan Park

Ryan Park has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Chelsea Finn, Rafael Rafailov, Stefano Ermon.

2 papers in our library · 2024

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📄 2 works in our library · 🔗 Cited 155 times in our library · ⭐ Paper Stars ranking: #6728

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Disentangling Length from Quality in Direct Preference Optimization (2024 · 105 citations)
    The paper looks at verbosity exploitation in Direct Preference Optimization (DPO). Classical RLHF is known to push models toward longer answers, but this had not been studied for DPO, which trains offline and has no explicit reward model. Existing length-control methods therefore cannot be applied to it directly.
  2. From r to Q*: Your Language Model is Secretly a Q-Function (2024 · 72 citations)
    Direct Preference Optimization (DPO) is normally derived as a contextual bandit, where a whole response counts as one action.

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 155 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

Updated

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