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Yuval Ran-Milo

Yuval Ran-Milo has 2 papers in our library, in 2026, most of them on Language models & pretraining, Interpretability.

2 papers in our library · 2026

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📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11763

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 2Research subjects and languages the work is about.Interpretability · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks (2026 · 1 citation)
    Softmax Transformers often put almost all attention on one fixed, content-independent position, usually BOS.
  2. A Mechanistic Account of Attention Sinks in GPT-2: One Circuit, Broader Implications for Mitigation (2026)
    Transformers often send a large share of attention to the first token regardless of its content. This "attention sink" hurts context use, quantization, streaming and interpretability. The authors trace how the sink is produced inside the 124M-parameter GPT-2, which uses learned query biases and absolute positional…

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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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