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Gerald Shen

Gerald Shen has 2 papers in our library, in 2024, most of them on Language models & pretraining, Efficient models & compression; often with Jiaqi Zeng, Ameya Sunil Mahabaleshwarkar, Daniel Egert.

2 papers in our library · 2024

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 123 times in our library · ⭐ Paper Stars ranking: #7482

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 1 workComputer Science · 1 workArtificial Intelligence · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. HelpSteer2: Open-source dataset for training top-performing reward models (2024 · 82 citations)
    Reward models that steer LLMs toward human-preferred outputs need good preference data. Openly licensed collections such as HH-RLHF, Open Assistant and HelpSteer have aged, and sets distilled from GPT-4 and similar proprietary systems carry commercial-use restrictions. The NVIDIA authors address this gap with…
  2. LLM Pruning and Distillation in Practice: The Minitron Approach (2024 · 44 citations)
    Minitron-style compression trains only the largest model in a family and derives smaller ones by structured pruning followed by knowledge distillation.

 Co-authors here

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

 Cited by

Papers of our library cite their works 123 times (of the 149,439 papers whose bibliographies we read); 44 citing papers with a page here →.

Updated

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