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Omar Naim

Omar Naim has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Nicholas Asher, Krish Sharma.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 13 works · 4 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #11235

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

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. SSA: Improving Performance With a Better Scoring Function (2026 · 1 citation)
    Transformers trained for in-context learning (ICL) often break down under simple distribution shifts. The authors trace part of this failure to Softmax, the attention scoring function. They train small GPT-2-style models from scratch on two synthetic ICL tasks. One task judges "every" and "some" statements over…
  2. TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination (2026 · 1 citation)
    Modern LLMs run every input through all of their layers, yet many layers contribute little or even hurt accuracy on a specific downstream task.

 Co-authors here

2 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 2 times (of the 149,439 papers whose bibliographies we read).

Updated

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