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Jeffrey Hui

Deepmind

3 papers hereh-index 65.1k citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3
affiliations
  • Deepmind
Homepage
same name
  • Jeffrey Hui — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedNo News is Good News: A Critique of the One Billion Word Benchmark

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2025

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…

cs.CL2024

Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries

Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni +21

We introduce Michelangelo: a minimal, synthetic, and unleaked long-context reasoning evaluation for large language models which is also easy to automatically score. This evaluation…

cs.CL2021★ 1 cited

No News is Good News: A Critique of the One Billion Word Benchmark

Helen Ngo, João G. M. Araújo, Jeffrey Hui +1

The One Billion Word Benchmark is a dataset derived from the WMT 2011 News Crawl, commonly used to measure language modeling ability in natural language processing. We train models…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.