Felix Hill

13.4k citations

41 papers · 5.3k indexed · 4 hit papers · h-index 20

Impact in

Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Speech and dialogue systems
Computer Vision and Pattern Recognition top 0.5%
- Multimodal Machine Learning Applications

Papers in

Artificial Intelligence 34
- Topic Modeling 26
- Natural Language Processing Techniques 20
- Speech and dialogue systems 8
- Text Readability and Simplification 4
- Neural Networks and Applications 4
- Domain Adaptation and Few-Shot Learning 4
- Advanced Text Analysis Techniques 3
Software 2

Co-authors: Amanpreet Singh Julian Michael Omer Levy Samuel Bowman Alex Wang Anna Korhonen Roi Reichart David Bell
Journals: Cognitive Science (3 papers)Computational Linguistics (2 papers)Transactions of the Association for Computational Linguistics (2 papers)Machine Learning Science and Technology (1 paper)Physical Therapy (1 paper)
Partner nations: United Kingdom United States Israel

In The Last Decade

Felix Hill

41 papers receiving 5.0k citations

Hit Papers

align trajectories log scale

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding 2018 · 2.4k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
2018 International Conference on Learning Representations
2015 Computational Linguistics
2007 Astronomical Data Analysis Software and Systems XVI

Peers

Countries citing papers authored by Felix Hill

Since Specialization

Citations

This map shows the geographic impact of Felix Hill's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Felix Hill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Hill more than expected).

Fields of papers citing papers by Felix Hill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felix Hill. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Felix Hill. The network helps show where Felix Hill may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Felix Hill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Felix Hill Line = papers co-authored together Felix Hill links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Language models, like humans, show content effects on reasoning tasks PNAS Nexus ·Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Hannah Sheahan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill	2024	24
2	LGBTQIA+ Cultural Competence in Physical Therapy: An Exploratory Qualitative Study From the Clinician’s Perspective Physical Therapy ·Srinivasa Rao Meda, Julie Avrillier, 工中野, Oisín Donnelly, Damien; id_orcid 0000-0003-2053-7078 Bennett, Nour Abdurrahman, Laura Gutierrez Suarez, Felix Hill, Taofeek Suleman, Gail M. Jensen	2024	1
3	Know your audience: specializing grounded language models with listener subtraction А М Аль Вард, David K. Ding, Andrew Saxe, Felix Hill, Andrew K. Lampinen	2023	1
4	Can language models learn from explanations in context? Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Z. Wang, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill	2022	86
5	Grounded Language Learning Fast and Slow arXiv (Cornell University) ·Felix Hill, Grant R. Chambers, Tamara von Glehn, Kai Tan, Andrés Mateo Pérez, Stephen Clark	2021	14
6	Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models Proceedings of the National Academy of Sciences ·James L. McClelland, Felix Hill, Maja Rudolph, Jason Baldridge, Hinrich Schütze	2020	54
7	Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. arXiv (Cornell University) ·Xin Ding, Felix Hill, Adam Santoro, Matt Botvinick	2020	9
8	Simulating Early Word Learning in Situated Connectionist Agents. Cognitive Science ·Felix Hill, Stephen Clark, Phil Blunsom, Karl Moritz Hermann	2020	2
9	Environmental drivers of systematicity and generalization in a situated agent. International Conference on Learning Representations ·Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro	2020	9
10	Research at the University of Copenhagen (University of Copenhagen) ·(unknown), Yamina De Bondt, Felix Hill, Daniel M. Low, Anders Søgaard	2019	4
11	SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Neural Information Processing Systems ·Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman	2019	166
12	Learning to Make Analogies by Contrasting Abstract Relational Structure International Conference on Learning Representations ·Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy Lillicrap	2019	13
13	Emergent Systematic Generalization In a Situated Agent arXiv (Cornell University) ·Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro	2019	8
14	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding International Conference on Learning Representations ·Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman Hit paper breakdown →	2018	630
15	Learning to Follow Language Instructions with Adversarial Reward Induction arXiv (Cornell University) ·Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette	2018	4
16	Jointly Learning "What" and "How" from Instructions and Goal-States. International Conference on Learning Representations ·Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette	2018	2
17	The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations arXiv (Cornell University) ·Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston	2016	144
18	Adaptive Communication: Languages with More Non-Native Speakers Tend to Have Fewer Word Forms PLoS ONE ·Christian Bentz, Annemarie Verkerk, Douwe Kiela, Felix Hill, Paula Buttery	2015	50
19	Large-Scale Empricial Analyses of the Abstract/Concrete Distinction Cognitive Science ·Felix Hill, Anna Korhonen, Christian Bentz	2013	1
20	Beauty Before Age? Applying Subjectivity to Automatic English Adjective Ordering North American Chapter of the Association for Computational Linguistics ·Felix Hill	2012	10

About Felix Hill

Felix Hill is a scholar working on Artificial Intelligence, Software, Computer Vision and Pattern Recognition, Instrumentation and Experimental and Cognitive Psychology, having authored 41 papers that have together received 5.3k indexed citations. Recurring topics across this work include Topic Modeling (26 papers), Natural Language Processing Techniques (20 papers), Multimodal Machine Learning Applications (9 papers), Speech and dialogue systems (8 papers), Text Readability and Simplification (4 papers), Neural Networks and Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Computer Vision and Pattern Recognition (1.3k citations), Astronomy and Astrophysics (570 citations), Health Informatics (42 citations) and Instrumentation (88 citations). Felix Hill has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Amanpreet Singh, Julian Michael, Omer Levy, Samuel Bowman, Alex Wang, Anna Korhonen, Roi Reichart, David Bell, Richard A. Shaw and Alex Wang. Their work appears in journals such as Cognitive Science, Computational Linguistics, Transactions of the Association for Computational Linguistics, Machine Learning Science and Technology and Physical Therapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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