Kevin Leyton-Brown

Kevin Leyton-Brown has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks; often with Amnon Shashua, Inbal Magar, Nir Ratner.

2 papers in our library · 2023–2024

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Parallel Context Windows for Large Language Models (2023 · 102 citations)
Off-the-shelf large language models can only read a fixed number of tokens at once. This limits in-context learning, multi-document question answering and other long-input uses. Earlier fixes usually needed specially trained architectures. The authors propose Parallel Context Windows (PCW), which works with any…
Generating Benchmarks for Factuality Evaluation of Language Models (2024 · 79 citations)
Measuring how often a language model produces false statements in a given domain is hard. Methods that fact-check a model's own samples cannot choose which facts get tested, and they favour common knowledge over rare or domain-specific facts. Perplexity is often used as a stand-in, but it reflects many linguistic…

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

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

Papers of our library cite their works 114 times (of the 141,840 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated 24 October 2026