Grefenstette, Edward

A Convolutional Neural Network for Modelling Sentences

Kalchbrenner, N., Grefenstette, E., & Blunsom, P. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 3,601

Hybrid computing using a neural network with dynamic external memory

Graves, A., Wayne, G., Reynolds, M., Harley, T., Danihelka, I., Grabska-Barwińska, A., Colmenarejo, S. G., Grefenstette, E., Ramalho, T., Agapiou, J., et al. (2016) · Nature

Neural Networks and ApplicationsTopic Modeling

Cited by 1,412

The NarrativeQA Reading Comprehension Challenge

Kočiský, T., Schwarz, J., Blunsom, P., Dyer, C., Hermann, K. M., Melis, G., & Grefenstette, E. (2018) · Transactions of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 596

Learning Explanatory Rules from Noisy Data

Evans, R., & Grefenstette, E. (2018) · Journal of Artificial Intelligence Research

Logic, Reasoning, and KnowledgeExplainable Artificial Intelligence (XAI)

Cited by 426

Latent Predictor Networks for Code Generation

Ling, W., Blunsom, P., Grefenstette, E., Hermann, K. M., Kočiský, T., Wang, F., & Senior, A. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchTopic Modeling

Cited by 307

Analysing Mathematical Reasoning Abilities of Neural Models

Saxton, D., Grefenstette, E., Hill, F., & Kohli, P. (2019) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 241

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Kirk, R., Zhang, A., Grefenstette, E., & Rocktäschel, T. (2023) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 193

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

Ruis, L., Khan, A., Biderman, S., Hooker, S., Rocktäschel, T., & Grefenstette, E. (2023) · Advances in Neural Information Processing Systems 36

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 47

The NetHack Learning Environment

Küttler, H., Nardelli, N., Miller, A. H., Raileanu, R., Selvatici, M., Grefenstette, E., & Rocktäschel, T. (2020) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 44

Prioritized Level Replay

Jiang, M., Grefenstette, E., & Rocktäschel, T. (2020) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 33

Evolving Curricula with Regret-Based Environment Design

Parker-Holder, J., Jiang, M., Dennis, M., Samvelyan, M., Foerster, J., Grefenstette, E., & Rocktäschel, T. (2022) · arXiv

Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications

Cited by 28

Replay-Guided Adversarial Environment Design

Jiang, M., Dennis, M., Parker-Holder, J., Foerster, J., Grefenstette, E., & Rocktäschel, T. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 21

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

Samvelyan, M., Kirk, R., Kurin, V., Parker-Holder, J., Jiang, M., Hambro, E., Petroni, F., Küttler, H., Grefenstette, E., & Rocktäschel, T. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 20

Understanding the Effects of RLHF on LLM Generalisation and Diversity

Kirk, R., Mediratta, I., Nalmpantis, C., Luketina, J., Hambro, E., Grefenstette, E., & Raileanu, R. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 17

General intelligence requires rethinking exploration

Jiang, M., Rocktäschel, T., & Grefenstette, E. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 17

Debating with More Persuasive LLMs Leads to More Truthful Answers

Khan, A., Hughes, J., Valentine, D., Ruis, L., Sachan, K., Radhakrishnan, A., Grefenstette, E., Bowman, S. R., Rocktäschel, T., & Perez, E. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

Insights From the NeurIPS 2021 NetHack Challenge

Hambro, E., Mohanty, S., Babaev, D., Byeon, M., Chakraborty, D., Grefenstette, E., Jiang, M., Jo, D., Kanervisto, A., Kim, J., et al. (2022) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 1

Writing as a testbed for open ended agents

Gooding, S., Lopez-Rivilla, L., & Grefenstette, E. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0