Edward Grefenstette

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

Achievements

+15 more ↓

🌍 Conference Polyglot (8) 🏃 Academic Marathon (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (13)

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (14) 🌟 Keyword Trendsetter Combo (5) 🏆 Grand Slam 🧬 Topic Evolution 👑 Triple Crown 🤝 Dynamic Duo (19) ⚡ Prolific Year (5) 📈 Trend Setter 🗃️ Keyword Collector (106) ❓ The Questioner 💎 Century Club (36) 🔥 Unstoppable (12) 🚀 Conference Pioneer

Conferences

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

Top co-authors

Tim Rocktäschel (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 Küttler (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