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Grefenstette, Edward

  1. Teaching Machines to Read and Comprehend
    2015/06/10 by Karl Moritz Hermann, Tomáš Kočiský, Hermann, Karl Moritz +11 · 5 voices · 64 citations
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.NE
  2. Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
    2024/11/19 by Laura Ruis, Maximilian Mozes, Ruis, Laura +18 · 24 voices · 8 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Semantic Web and Ontologies
  3. Analysing Mathematical Reasoning Abilities of Neural Models
    2019/04/02 by David Saxton, Saxton, David, Edward Grefenstette +5 · 4 voices · 35 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #AI-based Problem Solving and Planning
  4. The NarrativeQA Reading Comprehension Challenge
    2017/12/19 by Tomáš Kočiský, Kočiský, Tomáš, Jonathan Schwarz +11 · 2 voices · 73 citations
    #cs.CL #cs.AI #cs.NE
  5. A Convolutional Neural Network for Modelling Sentences
    2014/04/08 by Nal Kalchbrenner, Kalchbrenner, Nal, Edward Grefenstette +3 · 1 voice · 8 citations
    #cs.CL
  6. Learning Explanatory Rules from Noisy Data
    2017/11/13 by Richard Evans, Evans, Richard, Edward Grefenstette +1 · 2 voices · 17 citations
    #cs.NE #math.LO
  7. Latent Predictor Networks for Code Generation
    2016/03/22 by Wang Ling, Edward Grefenstette, Ling, Wang +11 · 1 voice · 20 citations
    Computer Science · #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling #cs.CL #cs.NE
  8. Understanding the Effects of RLHF on LLM Generalisation and Diversity
    2023/10/10 by Robert Kirk, Kirk, Robert, Ishita Mediratta +12 · 1 voice · 74 citations
    Computer Science · #cs.LG #cs.AI #cs.CL
  9. Debating with More Persuasive LLMs Leads to More Truthful Answers
    2024/02/09 by Akbir Khan, Khan, Akbir, John Hughes +17 · 48 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Legal Education and Practice Innovations
  10. The NetHack Learning Environment
    2020/06/24 by Heinrich Küttler, Küttler, Heinrich, Nantas Nardelli +11 · 21 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  11. A Survey of Reinforcement Learning Informed by Natural Language
    2019/06/10 by Luketina, Jelena, Nardelli, Nantas, Farquhar, Gregory +5 · 12 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Evolving Curricula with Regret-Based Environment Design
    2022/03/02 by Parker-Holder, Jack, Jiang, Minqi, Dennis, Michael +4 · 15 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Prioritized Level Replay
    2020/10/08 by Jiang, Minqi, Grefenstette, Edward, Rocktäschel, Tim · 12 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Replay-Guided Adversarial Environment Design
    2021/10/06 by Minqi Jiang, Jiang, Minqi, Michael D. Dennis +9 · 9 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  15. MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
    2021/09/27 by Samvelyan, Mikayel, Kirk, Robert, Kurin, Vitaly +7 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
    2023/11/21 by Samyak Jain, Jain, Samyak, Robert Kirk +13 · 9 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Topic Modeling #Adversarial Robustness in Machine Learning
  17. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
    2022/10/26 by Ruis, Laura, Khan, Akbir, Biderman, Stella +3 · 6 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  18. Discovering Discrete Latent Topics with Neural Variational Inference
    2017/06/01 by Yishu Miao, Miao, Yishu, Edward Grefenstette +3 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Time Series Analysis and Forecasting #Topic Modeling
  19. Optimal Transport for Offline Imitation Learning
    2023/03/24 by Luo, Yicheng, Jiang, Zhengyao, Cohen, Samuel +2 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Learning to Transduce with Unbounded Memory
    2015/06/08 by Grefenstette, Edward, Hermann, Karl Moritz, Suleyman, Mustafa +1 · 2 citations
    #68T05 #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.6 #I.2.7 #I.5.1 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  21. Efficient Planning in a Compact Latent Action Space
    2022/08/22 by Jiang, Zhengyao, Zhang, Tianjun, Janner, Michael +4 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Can Neural Networks Understand Logical Entailment?
    2018/02/23 by David Saxton, Evans, Richard, Saxton, David +6 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  23. 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)
  24. Learning to Compose Words into Sentences with Reinforcement Learning
    2016/11/28 by Dani Yogatama, Yogatama, Dani, Phil Blunsom +7 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  25. Meta-Learning via Learned Loss
    2019/06/12 by Bechtle, Sarah, Molchanov, Artem, Chebotar, Yevgen +4 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  26. Learning Reasoning Strategies in End-to-End Differentiable Proving
    2020/07/13 by Pasquale Minervini, Sebastian Riedel, Minervini, Pasquale +7 · 2 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Symbolic Computation (cs.SC)
  27. Scaling Opponent Shaping to High Dimensional Games
    2023/12/19 by Akbir Khan, Timon Willi, Khan, Akbir +13 · 3 citations
    Computer Science · Economics, Econometrics and Finance · Psychology · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Mental Health Research Topics #Sports Analytics and Performance #Time Series Analysis and Forecasting
  28. Improving Intrinsic Exploration with Language Abstractions
    2022/02/17 by Mu, Jesse, Zhong, Victor, Raileanu, Roberta +4 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  29. Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions
    2023/03/30 by Yicheng Luo, Jackie Kay, Luo, Yicheng +5 · 2 citations
    Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
  30. The Neural Noisy Channel
    2016/11/08 by Yu, Lei, Blunsom, Phil, Dyer, Chris +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  31. Category-Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics
    2013/11/06 by Edward Grefenstette, Grefenstette, Edward · 2 citations
    Computer Science · #18C50 (secondary) #68T50 (primary) 03B65 #Category Theory (math.CT) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Mathematics #I.2.7 #Logic (math.LO) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  32. Towards a Formal Distributional Semantics: Simulating Logical Calculi\n with Tensors
    2013/04/21 by Edward Grefenstette, Grefenstette, Edward · 1 citation
    Computer Science · #03B10 #68T50 #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #F.4.1 #FOS: Computer and information sciences #FOS: Mathematics #I.2.7 #Logic (math.LO) #Logic in Computer Science (cs.LO) #Natural Language Processing Techniques #Topic Modeling
  33. TorchBeast: A PyTorch Platform for Distributed RL
    2019/10/08 by Küttler, Heinrich, Nardelli, Nantas, Lavril, Thibaut +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  34. Differentiable Reasoning on Large Knowledge Bases and Natural Language
    2019/12/17 by Minervini, Pasquale, Bošnjak, Matko, Rocktäschel, Tim +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG)
  35. Learning with AMIGo: Adversarially Motivated Intrinsic Goals
    2020/06/22 by Campero, Andres, Raileanu, Roberta, Küttler, Heinrich +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  36. Writing as a testbed for open ended agents
    2025/03/25 by Sian Gooding, Lucia Lopez-Rivilla, Gooding, Sian +3 · 1 voice · 4 citations
    #cs.CL #cs.AI #cs.HC
  37. General Intelligence Requires Rethinking Exploration
    2022/11/15 by Jiang, Minqi, Rocktäschel, Tim, Grefenstette, Edward · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  38. Improving Policy Learning via Language Dynamics Distillation
    2022/09/30 by Victor W. Zhong, Jesse Mu, Zhong, Victor +7 · 1 citation
    Computer Science · #Topic Modeling
  39. Learning General World Models in a Handful of Reward-Free Deployments
    2022/10/23 by Xu, Yingchen, Parker-Holder, Jack, Pacchiano, Aldo +5 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  40. A quantum teleportation inspired algorithm produces sentence meaning\n from word meaning and grammatical structure
    2013/05/02 by Stephen Clark, Bob Coecke, Clark, Stephen +8 · 1 citation
    Computer Science · #Quantum Computing Algorithms and Architecture
  41. RTFM: Generalising to Novel Environment Dynamics via Reading
    2019/10/18 by Victor W. Zhong, Tim Rocktäschel, Zhong, Victor +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Topic Modeling
  42. Learning to Compute Word Embeddings On the Fly
    2017/06/01 by Dzmitry Bahdanau, Tom Bosc, Bahdanau, Dzmitry +9 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  43. H-GAP: Humanoid Control with a Generalist Planner
    2023/12/05 by Jiang, Zhengyao, Xu, Yingchen, Wagener, Nolan +5 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  44. Generalized Inner Loop Meta-Learning
    2019/10/03 by Edward Grefenstette, Brandon Amos, Grefenstette, Edward +15 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification