Hill, Felix
- Analysing Mathematical Reasoning Abilities of Neural Models
2019/04/02 by David Saxton, Saxton, David, Edward Grefenstette +5 · 4 voices · 39 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #AI-based Problem Solving and Planning
- Meaning without reference in large language models
2022/08/05 by Steven T. Piantadosi, Piantadosi, Steven T., Felix Hill +1 · 4 voices · 14 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL
- Data Distributional Properties Drive Emergent In-Context Learning in Transformers
2022/04/22 by Stephanie C. Y. Chan, Chan, Stephanie C. Y., Adam Santoro +13 · 4 voices · 38 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
2018/04/20 by Wang, Alex, Singh, Amanpreet, Michael, Julian +3 · 379 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
2019/05/02 by Alex Wang, Wang, Alex, Yada Pruksachatkun +13 · 146 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Grounded Language Learning Fast and Slow
2020/09/03 by Felix Hill, Hill, Felix, Olivier Tieleman +10 · 1 voice · 5 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
- Multimodal Few-Shot Learning with Frozen Language Models
2021/06/25 by Maria Tsimpoukelli, Tsimpoukelli, Maria, Jacob Menick +9 · 34 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Measuring abstract reasoning in neural networks
2018/07/11 by David G. T. Barrett, Felix Hill, Barrett, David G. T. +7 · 30 citations
Computer Science · #Neural Networks and Applications #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
- Can language models learn from explanations in context?
2022/04/05 by Lampinen, Andrew K., Dasgupta, Ishita, Chan, Stephanie C. Y. +6 · 24 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- SimLex-999: Evaluating Semantic Models with (Genuine) Similarity\n Estimation
2014/08/14 by Felix Hill, Roi Reichart, Hill, Felix +3 · 12 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Grounded Language Learning in a Simulated 3D World
2017/06/20 by Karl Moritz Hermann, Hermann, Karl Moritz, Felix Hill +25 · 22 citations
Computer Science · #Natural Language Processing Techniques #Speech and dialogue systems #Multimodal Machine Learning Applications
- Vision-Language Models as Success Detectors
2023/03/13 by Yuqing Du, Ksenia Konyushkova, Du, Yuqing +12 · 13 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
- The Transient Nature of Emergent In-Context Learning in Transformers
2023/11/14 by Aaditya K. Singh, Stephanie C. Y. Chan, Singh, Aaditya K. +10 · 1 voice · 12 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Gaussian Processes and Bayesian Inference #Neural Networks and Applications #cs.AI #cs.CL #cs.LG
- What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
2024/04/10 by Aaditya K. Singh, Singh, Aaditya K., Ted Moskovitz +7 · 17 citations
Engineering · #Analog and Mixed-Signal Circuit Design #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Language models show human-like content effects on reasoning tasks
2022/07/14 by Dasgupta, Ishita, Lampinen, Andrew K., Chan, Stephanie C. Y. +5 · 9 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Neural Arithmetic Logic Units
2018/08/01 by Andrew Trask, Trask, Andrew, Felix Hill +9 · 1 voice · 1 citation
#cs.NE
- Scaling Instructable Agents Across Many Simulated Worlds
2024/03/13 by SIMA team, SIMA Team, Maria Abi Raad +184 · 12 citations
Computer Science · #Robotic Path Planning Algorithms #Teaching and Learning Programming
- SODA: Bottleneck Diffusion Models for Representation Learning
2023/11/29 by Drew A. Hudson, Hudson, Drew A., Daniel Zoran +15 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Collaborating with language models for embodied reasoning
2023/02/01 by Ishita Dasgupta, Christine Kaeser‐Chen, Dasgupta, Ishita +11 · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Topic Modeling
- Attention over learned object embeddings enables complex visual reasoning
2020/12/15 by Ding, David, Felix Hill, Hill, Felix +6 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural Networks and Applications
- HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment
2016/08/06 by Vulić, Ivan, Gerz, Daniela, Kiela, Douwe +2 · 3 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text
2020/05/19 by Felix Hill, Soňa Mokrá, Hill, Felix +5 · 4 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Imitating Interactive Intelligence
2020/12/10 by Josh Abramson, Arun Ahuja, Abramson, Josh +55 · 8 citations
Computer Science · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Domain Adaptation and Few-Shot Learning
- Environmental drivers of systematicity and generalization in a situated agent
2019/10/01 by Felix Hill, Hill, Felix, Andrew K. Lampinen +11 · 6 citations
Social Sciences · Computer Science · #Language and cultural evolution #Evolutionary Algorithms and Applications #Multi-Agent Systems and Negotiation
- Learning to Make Analogies by Contrasting Abstract Relational Structure
2019/01/31 by Felix Hill, Hill, Felix, Adam Santoro +7 · 3 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
- The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
2015/11/07 by Hill, Felix, Bordes, Antoine, Chopra, Sumit +1 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Learning Distributed Representations of Sentences from Unlabelled Data
2016/02/10 by Hill, Felix, Cho, Kyunghyun, Korhonen, Anna · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning to Understand Goal Specifications by Modelling Reward
2018/06/05 by Bahdanau, Dzmitry, Hill, Felix, Leike, Jan +4 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Transformers generalize differently from information stored in context vs in weights
2022/10/11 by Stephanie C. Y. Chan, Chan, Stephanie C. Y., Ishita Dasgupta +9 · 3 citations
Computer Science · Social Sciences · #Neural Networks and Applications #Language and cultural evolution
- Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning
2021/12/07 by DeepMind Interactive Agents Team, Josh Abramson, Abramson, Josh +48 · 2 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
- Semantic Exploration from Language Abstractions and Pretrained Representations
2022/04/08 by Allison C. Tam, Neil C. Rabinowitz, Tam, Allison C. +15 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Why transformers are obviously good models of language
2024/08/07 by Felix Hill, Hill, Felix · 1 voice
#cs.CL
- Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
2025/03/07 by Singh, Aaditya K., Moskovitz, Ted, Dragutinovic, Sara +3 · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette
2019/04/18 by Adam Santoro, Felix Hill, Santoro, Adam +9 · 1 citation
Neuroscience · Computer Science · Psychology · #Cognitive Science and Education Research #Cognitive Science and Mapping #Action Observation and Synchronization
- Extending Machine Language Models toward Human-Level Language Understanding
2019/12/12 by McClelland, James L., Hill, Felix, Rudolph, Maja +2 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Tell me why! Explanations support learning relational and causal structure
2021/12/07 by Lampinen, Andrew K., Roy, Nicholas A., Dasgupta, Ishita +8 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
2023/02/09 by Pierre H. Richemond, Allison Tam, Richemond, Pierre H. +9 · 1 citation
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- SIMA 2: A Generalist Embodied Agent for Virtual Worlds
2025/12/04 by Adrian Bolton, SIMA team, Bolton, Adrian +135 · 3 voices · 1 citation
Computer Science · Psychology · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Social Robot Interaction and HRI #cs.AI #cs.RO