---
title: "Felix Hill — papers"
description: "Felix Hill: 10 papers in the Elamur Research library (2015–2022) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/felix-hill/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/felix-hill/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Felix Hill

# Felix Hill

10 papers on this site (2015–2022)

[OpenAlex](https://openalex.org/A5010396788) · [ORCID](https://orcid.org/0000-0002-6712-1718) · h-index 36 · 94 works · 12681 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Can language models learn from explanations in context?](https://md.research.elamur.ai/free/en/papers/lampinen-2022-can-language-models-learn-explanations/) — Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al. · 2022
- [Multimodal Few-Shot Learning with Frozen Language Models](https://md.research.elamur.ai/free/en/papers/tsimpoukelli-2021-multimodal-few-shot-learning-frozen/) — Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al. · 2021
- [Analysing Mathematical Reasoning Abilities of Neural Models](https://md.research.elamur.ai/free/en/papers/saxton-2019-analysing-mathematical-reasoning-abilities-neural/) — David Saxton, Edward Grefenstette, Felix Hill, et al. · 2019
- [SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems](https://md.research.elamur.ai/free/en/papers/wang-2019-superglue-stickier-benchmark-general-purpose/) — Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al. · 2019
- [GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/wang-2018-glue-multi-task-benchmark-analysis/) — Alex Wang, Amanpreet Singh, Julian Michael, et al. · 2018
- [Learning Distributed Representations of Sentences from Unlabelled Data](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-distributed-representations-sentences-unlabelled/) — Felix Hill, Kyunghyun Cho, Anna Korhonen · 2016
- [Learning to Understand Phrases by Embedding the Dictionary](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/) — Felix Hill, Kyunghyun Cho, Anna Korhonen, et al. · 2016
- [SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity](https://md.research.elamur.ai/free/en/papers/gerz-2016-simverb-3500-large-scale-evaluation/) — Daniela Gerz, Ivan Vulić, Felix Hill, et al. · 2016
- [SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation](https://md.research.elamur.ai/free/en/papers/hill-2015-simlex-999-evaluating-semantic-models/) — Felix Hill, Roi Reichart, Anna Korhonen · 2015
- [The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations](https://md.research.elamur.ai/free/en/papers/hill-2015-goldilocks-principle-reading-children-s/) — Felix Hill, Antoine Bordes, Sumit Chopra, et al. · 2015
