Edward Grefenstette
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
9
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models. | Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwaraknath Gnaneshwar, Acyr Locatelli, Robert Kirk, Tim Rocktschel, Edward Grefenstette, Max Bartolo |
| 2024 | ICLR | Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. | Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tim Rocktschel, Edward Grefenstette, David Scott Krueger |
| 2024 | ICLR | H-GAP: Humanoid Control with a Generalist Planner. | Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktschel, Yuandong Tian |
| 2024 | ICLR | Understanding the Effects of RLHF on LLM Generalisation and Diversity. | Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu |
| 2024 | ICML | Debating with More Persuasive LLMs Leads to More Truthful Answers. | Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rocktschel, Ethan Perez |
| 2023 | ICLR | Efficient Planning in a Compact Latent Action Space. | Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktschel, Edward Grefenstette, Yuandong Tian |
| 2023 | ICLR | Optimal Transport for Offline Imitation Learning. | Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth |
| 2022 | ICML | Evolving Curricula with Regret-Based Environment Design. | Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktschel |
| 2021 | ICLR | Learning with AMIGo: Adversarially Motivated Intrinsic Goals. | Andres Campero, Roberta Raileanu, Heinrich Kttler, Joshua B. Tenenbaum, Tim Rocktschel, Edward Grefenstette |
| 2021 | ICML | Prioritized Level Replay. | Minqi Jiang, Edward Grefenstette, Tim Rocktschel |
| 2020 | AAAI | Differentiable Reasoning on Large Knowledge Bases and Natural Language. | Pasquale Minervini, Matko Bosnjak, Tim Rocktschel, Sebastian Riedel, Edward Grefenstette |
| 2020 | ICLR | RTFM: Generalising to New Environment Dynamics via Reading. | Victor Zhong, Tim Rocktschel, Edward Grefenstette |
| 2020 | ICML | Learning Reasoning Strategies in End-to-End Differentiable Proving. | Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktschel |
| 2020 | ICPR | Meta Learning via Learned Loss. | Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti, Gaurav S. Sukhatme, Franziska Meier |
| 2019 | CVPR | Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. | Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli |
| 2019 | ICLR | Learning to Understand Goal Specifications by Modelling Reward. | Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette |
| 2019 | ICLR | Analysing Mathematical Reasoning Abilities of Neural Models. | David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli |
| 2019 | ICML | CompILE: Compositional Imitation Learning and Execution. | Thomas Kipf, Yujia Li, Hanjun Dai, Vincius Flores Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia |
| 2019 | IJCAI | A Survey of Reinforcement Learning Informed by Natural Language. | Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktschel |
| 2018 | CIKM | Teaching Artificial Agents to Understand Language by Modelling Reward. | Edward Grefenstette |
| 2018 | ICLR | Jointly Learning "What" and "How" from Instructions and Goal-States. | Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette |
| 2018 | ICLR | Can Neural Networks Understand Logical Entailment? | Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette |
| 2018 | IJCAI | Learning Explanatory Rules from Noisy Data (Extended Abstract). | Richard Evans, Edward Grefenstette |
| 2017 | ACL | Deep Learning for Semantic Composition. | Xiaodan Zhu, Edward Grefenstette |
| 2017 | ICLR | Learning to Compose Words into Sentences with Reinforcement Learning. | Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling |
| 2017 | ICLR | The Neural Noisy Channel. | Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Toms Kocisk |
| 2017 | ICML | Discovering Discrete Latent Topics with Neural Variational Inference. | Yishu Miao, Edward Grefenstette, Phil Blunsom |
| 2016 | ACL | Latent Predictor Networks for Code Generation. | Wang Ling, Phil Blunsom, Edward Grefenstette, Karl Moritz Hermann, Toms Kocisk, Fumin Wang, Andrew W. Senior |
| 2016 | EMNLP | Semantic Parsing with Semi-Supervised Sequential Autoencoders. | Toms Kocisk, Gbor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann |
| 2014 | ACL | New Directions in Vector Space Models of Meaning. | Edward Grefenstette, Karl Moritz Hermann, Georgiana Dinu, Phil Blunsom |
| 2014 | ACL | A Convolutional Neural Network for Modelling Sentences. | Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom |
| 2013 | ACL | "Not not bad" is not "bad": A distributional account of negation. | Karl Moritz Hermann, Edward Grefenstette, Phil Blunsom |
| 2011 | EMNLP | Experimental Support for a Categorical Compositional Distributional Model of Meaning. | Edward Grefenstette, Mehrnoosh Sadrzadeh |