← Authors

Edward Grefenstette

36 papers · 2011–2025 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (44) 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (14) 🌟 Keyword Trendsetter Combo (5) πŸ† Grand Slam 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (19) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (106) ❓ The Questioner πŸ’Ž Century Club (36) πŸ”₯ Unstoppable (12) πŸš€ Conference Pioneer

Conferences

ICLR (11) NIPS (9) ICML (6) ACL (4) EMNLP (2) IJCAI (2) AAAI (1) CVPR (1)

Top co-authors

Tim RocktΓ€schel (19) Phil Blunsom (7) Minqi Jiang (5) Karl Moritz Hermann (5) Pushmeet Kohli (5) Jack Parker-Holder (4) Roberta Raileanu (4) Jakob Foerster (4) zhengyao jiang (3) Heinrich KΓΌttler (3)

Keywords

reinforcement learning (6) deep reinforcement learning (4) curriculum learning (4) natural language (3) representation learning (3) machine translation (2) neural network (2) neural theorem prover (2) symbolic reasoning (2) unsupervised environment design (2) imitation learning (2) question answering (1) sample efficiency (1) document understanding (1) attention mechanism (1) link prediction (1) adversarial training (1) reading comprehension (1) policy learning (1) text representation (1)

Papers

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models ICLR 2025
Debating with More Persuasive LLMs Leads to More Truthful Answers ICML 2024
Understanding the Effects of RLHF on LLM Generalisation and Diversity ICLR 2024
H-GAP: Humanoid Control with a Generalist Planner ICLR 2024
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks ICLR 2024
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs NIPS 2023
Efficient Planning in a Compact Latent Action Space ICLR 2023
Optimal Transport for Offline Imitation Learning ICLR 2023
Evolving Curricula with Regret-Based Environment Design ICML 2022
Learning General World Models in a Handful of Reward-Free Deployments NIPS 2022
Improving Policy Learning via Language Dynamics Distillation NIPS 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design NIPS 2022
Improving Intrinsic Exploration with Language Abstractions NIPS 2022
Replay-Guided Adversarial Environment Design NIPS 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals ICLR 2021
Prioritized Level Replay ICML 2021
Learning Reasoning Strategies in End-to-End Differentiable Proving ICML 2020
Differentiable Reasoning on Large Knowledge Bases and Natural Language AAAI 2020
The NetHack Learning Environment NIPS 2020
RTFM: Generalising to New Environment Dynamics via Reading ICLR 2020
A Survey of Reinforcement Learning Informed by Natural Language IJCAI 2019
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications CVPR 2019
Analysing Mathematical Reasoning Abilities of Neural Models ICLR 2019
Learning to Understand Goal Specifications by Modelling Reward ICLR 2019
CompILE: Compositional Imitation Learning and Execution ICML 2019
Learning Explanatory Rules from Noisy Data (Extended Abstract) IJCAI 2018
Can Neural Networks Understand Logical Entailment? ICLR 2018
Deep Learning for Semantic Composition ACL 2017
Discovering Discrete Latent Topics with Neural Variational Inference ICML 2017
Latent Predictor Networks for Code Generation ACL 2016
Semantic Parsing with Semi-Supervised Sequential Autoencoders EMNLP 2016
Learning to Transduce with Unbounded Memory NIPS 2015
Teaching Machines to Read and Comprehend NIPS 2015
New Directions in Vector Space Models of Meaning ACL 2014
A Convolutional Neural Network for Modelling Sentences ACL 2014
Experimental Support for a Categorical Compositional Distributional Model of Meaning EMNLP 2011