Beauty Before Age? Applying Subjectivity to Automatic English Adjective Ordering. - Felix Hill (HLT-NAACL, 2012)

Concreteness and Corpora: A Theoretical and Practical Study. - Felix Hill; Douwe Kiela; Anna Korhonen (CMCL, 2013)

Large-Scale Empricial Analyses of the Abstract/Concrete Distinction. - Felix Hill; Anna Korhonen; Christian Bentz (CogSci, 2013)

Concreteness and Subjectivity as Dimensions of Lexical Meaning. - Felix Hill; Anna Korhonen (ACL (2), 2014)

Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More. - Douwe Kiela; Felix Hill; Anna Korhonen; Stephen Clark (ACL (2), 2014)

Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can't See What I Mean. - Felix Hill; Anna Korhonen (EMNLP, 2014)

A Quantitative Empirical Analysis of the Abstract/Concrete Distinction. - Felix Hill; Anna Korhonen; Christian Bentz (Cogn. Sci., 2014)

Not All Neural Embeddings are Born Equal. - Felix Hill; KyungHyun Cho; Sébastien Jean; Coline Devin; Yoshua Bengio (CoRR, 2014)

Multi-Modal Models for Concrete and Abstract Concept Meaning. - Felix Hill; Roi Reichart; Anna Korhonen (Trans. Assoc. Comput. Linguistics, 2014)

Specializing Word Embeddings for Similarity or Relatedness. - Douwe Kiela; Felix Hill; Stephen Clark (EMNLP, 2015)

SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation. - Felix Hill; Roi Reichart; Anna Korhonen (Comput. Linguistics, 2015)

Embedding Word Similarity with Neural Machine Translation. - Felix Hill; Kyunghyun Cho; Sébastien Jean; Coline Devin; Yoshua Bengio (ICLR (Workshop), 2015)

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. - Daniela Gerz; Ivan Vulic; Felix Hill; Roi Reichart; Anna Korhonen (EMNLP, 2016)

Learning Distributed Representations of Sentences from Unlabelled Data. - Felix Hill; Kyunghyun Cho; Anna Korhonen (HLT-NAACL, 2016)

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. - Felix Hill; Antoine Bordes; Sumit Chopra; Jason Weston (ICLR, 2016)

Learning to Understand Phrases by Embedding the Dictionary. - Felix Hill; KyungHyun Cho; Anna Korhonen; Yoshua Bengio (Trans. Assoc. Comput. Linguistics, 2016)

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment. - Ivan Vulic; Daniela Gerz; Douwe Kiela; Felix Hill; Anna Korhonen (Comput. Linguistics, 2017)

Grounded Language Learning in a Simulated 3D World. - Karl Moritz Hermann; Felix Hill; Simon Green; Fumin Wang; Ryan Faulkner 001; Hubert Soyer; David Szepesvari; Wojciech Marian Czarnecki; Max Jaderberg; Denis Teplyashin; Marcus Wainwright; Chris Apps; et al. (CoRR, 2017)

Understanding Grounded Language Learning Agents. - Felix Hill; Karl Moritz Hermann; Phil Blunsom; Stephen Clark (CoRR, 2017)

The representational geometry of word meanings acquired by neural machine translation models. - Felix Hill; Kyunghyun Cho; Sébastien Jean; Yoshua Bengio (Mach. Transl., 2017)

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. - Alex Wang; Amanpreet Singh; Julian Michael; Felix Hill; Omer Levy; Samuel R. Bowman (BlackboxNLP@EMNLP, 2018)

Jointly Learning "What" and "How" from Instructions and Goal-States. - Dzmitry Bahdanau; Felix Hill; Jan Leike; Edward Hughes 001; Pushmeet Kohli; Edward Grefenstette (ICLR (Workshop), 2018)

Measuring abstract reasoning in neural networks. - Adam Santoro; Felix Hill; David G. T. Barrett; Ari S. Morcos; Timothy P. Lillicrap (ICML, 2018)

Neural Arithmetic Logic Units. - Andrew Trask; Felix Hill; Scott E. Reed; Jack W. Rae; Chris Dyer; Phil Blunsom (NeurIPS, 2018)

Learning to Follow Language Instructions with Adversarial Reward Induction. - Dzmitry Bahdanau; Felix Hill; Jan Leike; Edward Hughes 001; Pushmeet Kohli; Edward Grefenstette (CoRR, 2018)

Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. - Aishwarya Agrawal; Mateusz Malinowski; Felix Hill; S. M. Ali Eslami; Oriol Vinyals; Tejas Kulkarni (CoRR, 2018)

Higher-order Comparisons of Sentence Encoder Representations. - Mostafa Abdou; Artur Kulmizev; Felix Hill; Daniel M. Low; Anders Søgaard (EMNLP/IJCNLP (1), 2019)

Learning to Understand Goal Specifications by Modelling Reward. - Dzmitry Bahdanau; Felix Hill; Jan Leike; Edward Hughes 001; Seyed Arian Hosseini; Pushmeet Kohli; Edward Grefenstette (ICLR (Poster), 2019)

Learning to Make Analogies by Contrasting Abstract Relational Structure. - Felix Hill; Adam Santoro; David G. T. Barrett; Ari S. Morcos; Timothy P. Lillicrap (ICLR (Poster), 2019)

Analysing Mathematical Reasoning Abilities of Neural Models. - David Saxton; Edward Grefenstette; Felix Hill; Pushmeet Kohli (ICLR (Poster), 2019)

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. - Alex Wang; Yada Pruksachatkun; Nikita Nangia; Amanpreet Singh; Julian Michael; Felix Hill; Omer Levy; Samuel R. Bowman (NeurIPS, 2019)

Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette. - Adam Santoro; Felix Hill; David G. T. Barrett; David Raposo; Matthew M. Botvinick; Timothy P. Lillicrap (CoRR, 2019)

Emergent Systematic Generalization in a Situated Agent. - Felix Hill; Andrew K. Lampinen; Rosalia Schneider; Stephen Clark; Matthew M. Botvinick; James L. McClelland; Adam Santoro (CoRR, 2019)

Extending Machine Language Models toward Human-Level Language Understanding. - James L. McClelland; Felix Hill; Maja Rudolph; Jason Baldridge; Hinrich Schütze (CoRR, 2019)

Cognitive consequences of structured education in a connectionist model of analogical reasoning. - David Barrett 001; Felix Hill; Adam Santoro; Jay McClelland (CogSci, 2020)

Simulating Early Word Learning in Situated Connectionist Agents. - Felix Hill; Stephen Clark; Phil Blunsom; Karl Moritz Hermann (CogSci, 2020)

Environmental drivers of systematicity and generalization in a situated agent. - Felix Hill; Andrew K. Lampinen; Rosalia Schneider; Stephen Clark; Matthew M. Botvinick; James L. McClelland; Adam Santoro (ICLR, 2020)

Probing Emergent Semantics in Predictive Agents via Question Answering. - Abhishek Das; Federico Carnevale; Hamza Merzic; Laura Rimell; Rosalia Schneider; Josh Abramson; Alden Hung; Arun Ahuja; Stephen Clark; Greg Wayne; Felix Hill (ICML, 2020)

Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text. - Felix Hill; Sona Mokrá; Nathaniel Wong; Tim Harley (CoRR, 2020)

Imitating Interactive Intelligence. - Josh Abramson; Arun Ahuja; Arthur Brussee; Federico Carnevale; Mary Cassin; Stephen Clark; Andrew Dudzik; Petko Georgiev; Aurelia Guy; Tim Harley; Felix Hill; Alden Hung; et al. (CoRR, 2020)

Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. - David Ding; Felix Hill; Adam Santoro; Matt M. Botvinick (CoRR, 2020)

Grounded Language Learning Fast and Slow. - Felix Hill; Olivier Tieleman; Tamara von Glehn; Nathaniel Wong; Hamza Merzic; Stephen Clark (ICLR, 2021)

Attention over Learned Object Embeddings Enables Complex Visual Reasoning. - David Ding; Felix Hill; Adam Santoro; Malcolm Reynolds; Matt M. Botvinick (NeurIPS, 2021)

Towards mental time travel: a hierarchical memory for reinforcement learning agents. - Andrew K. Lampinen; Stephanie C. Y. Chan; Andrea Banino; Felix Hill (NeurIPS, 2021)

Multimodal Few-Shot Learning with Frozen Language Models. - Maria Tsimpoukelli; Jacob Menick; Serkan Cabi; S. M. Ali Eslami; Oriol Vinyals; Felix Hill (NeurIPS, 2021)

BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation. - Thomas Scialom; Felix Hill (CoRR, 2021)

Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning. - Josh Abramson; Arun Ahuja; Arthur Brussee; Federico Carnevale; Mary Cassin; Felix Fischer 004; Petko Georgiev; Alex Goldin; Tim Harley; Felix Hill; Peter Conway Humphreys; Alden Hung; et al. (CoRR, 2021)

Zipfian Environments for Reinforcement Learning. - Stephanie C. Y. Chan; Andrew Kyle Lampinen; Pierre Harvey Richemond; Felix Hill (CoLLAs, 2022)

Can language models learn from explanations in context? - Andrew K. Lampinen; Ishita Dasgupta 001; Stephanie C. Y. Chan; Kory W. Mathewson; Michael Henry Tessler; Antonia Creswell; James L. McClelland; Jane Wang 001; Felix Hill (EMNLP (Findings), 2022)

Tell me why! Explanations support learning relational and causal structure. - Andrew K. Lampinen; Nicholas A. Roy; Ishita Dasgupta 001; Stephanie C. Y. Chan; Allison C. Tam; James L. McClelland; Chen Yan; Adam Santoro; Neil C. Rabinowitz; Jane X. Wang; Felix Hill (ICML, 2022)

Data Distributional Properties Drive Emergent In-Context Learning in Transformers. - Stephanie C. Y. Chan; Adam Santoro; Andrew K. Lampinen; Jane X. Wang; Aaditya K. Singh; Pierre H. Richemond; James L. McClelland; Felix Hill (NeurIPS, 2022)

Semantic Exploration from Language Abstractions and Pretrained Representations. - Allison C. Tam; Neil C. Rabinowitz; Andrew K. Lampinen; Nicholas A. Roy; Stephanie C. Y. Chan; DJ Strouse; Jane Wang 001; Andrea Banino; Felix Hill (NeurIPS, 2022)

Know your audience: specializing grounded language models with the game of Dixit. - Aaditya K. Singh; David Ding; Andrew M. Saxe; Felix Hill; Andrew K. Lampinen (CoRR, 2022)

Language models show human-like content effects on reasoning. - Ishita Dasgupta 001; Andrew K. Lampinen; Stephanie C. Y. Chan; Antonia Creswell; Dharshan Kumaran; James L. McClelland; Felix Hill (CoRR, 2022)

Meaning without reference in large language models. - Steven T. Piantadosi; Felix Hill (CoRR, 2022)

Transformers generalize differently from information stored in context vs in weights. - Stephanie C. Y. Chan; Ishita Dasgupta 001; Junkyung Kim; Dharshan Kumaran; Andrew K. Lampinen; Felix Hill (CoRR, 2022)

Vision-Language Models as Success Detectors. - Yuqing Du; Ksenia Konyushkova; Misha Denil; Akhil Raju; Jessica Landon; Felix Hill; Nando de Freitas; Serkan Cabi (CoLLAs, 2023)

Know your audience: specializing grounded language models with listener subtraction. - Aaditya K. Singh; David Ding; Andrew M. Saxe; Felix Hill; Andrew K. Lampinen (EACL, 2023)

SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. - Matko Bosnjak; Pierre Harvey Richemond; Nenad Tomasev; Florian Strub; Jacob C. Walker; Felix Hill; Lars Holger Buesing; Razvan Pascanu; Charles Blundell; Jovana Mitrovic (ICLR, 2023)

The Edge of Orthogonality: A Simple View of What Makes BYOL Tick. - Pierre Harvey Richemond; Allison C. Tam; Yunhao Tang; Florian Strub; Bilal Piot; Felix Hill (ICML, 2023)

The Transient Nature of Emergent In-Context Learning in Transformers. - Aaditya K. Singh; Stephanie C. Y. Chan; Ted Moskovitz; Erin Grant; Andrew M. Saxe; Felix Hill (NeurIPS, 2023)

Collaborating with language models for embodied reasoning. - Ishita Dasgupta 001; Christine Kaeser-Chen; Kenneth Marino; Arun Ahuja; Sheila Babayan; Felix Hill; Rob Fergus (CoRR, 2023)

Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. - Wilka Carvalho; Andrew Kyle Lampinen; Kyriacos Nikiforou; Felix Hill; Murray Shanahan (Trans. Mach. Learn. Res., 2023)

SODA: Bottleneck Diffusion Models for Representation Learning. - Drew A. Hudson; Daniel Zoran; Mateusz Malinowski; Andrew K. Lampinen; Andrew Jaegle; James L. McClelland; Loic Matthey; Felix Hill; Alexander Lerchner (CVPR, 2024)

What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation. - Aaditya K. Singh; Ted Moskovitz; Felix Hill; Stephanie C. Y. Chan; Andrew M. Saxe (ICML, 2024)

Scaling Instructable Agents Across Many Simulated Worlds. - SIMA Team; Maria Abi Raad; Arun Ahuja; Catarina Barros; Frederic Besse; Andrew Bolt; Adrian Bolton; Bethanie Brownfield; Gavin Buttimore; Max Cant; Sarah Chakera; Stephanie C. Y. Chan; et al. (CoRR, 2024)

Why transformers are obviously good models of language. - Felix Hill (CoRR, 2024)

Strategy Coopetition Explains the Emergence and Transience of In-Context Learning. - Aaditya K. Singh; Ted Moskovitz; Sara Dragutinovic; Felix Hill; Stephanie C. Y. Chan; Andrew M. Saxe (CoRR, 2025)