Tim Rocktschel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
9
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Check Your Work: Structured Checklist Feedback for Improving Large Language Models. | Jonathan Cook, Tim Rocktschel, Jakob Nicolaus Foerster, Dennis Aumiller, Alex Wang |
| 2025 | ICLR | BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. | Davide Paglieri, Bartlomiej Cupial, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Lukasz Kucinski, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktschel |
| 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 |
| 2025 | ICML | Investigating Non-Transitivity in LLM-as-a-Judge. | Yi Xu, Laura Ruis, Tim Rocktschel, Robert Kirk |
| 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 | ICML | Position: Open-Endedness is Essential for Artificial Superhuman Intelligence. | Edward Hughes, Michael D. Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktschel |
| 2024 | ICML | Genie: Generative Interactive Environments. | Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktschel |
| 2024 | ICML | Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution. | Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktschel |
| 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 | MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. | Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktschel |
| 2023 | ICML | Human-Timescale Adaptation in an Open-Ended Task Space. | Jakob Bauer, Kate Baumli, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang |
| 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 | ICLR | My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. | Vitaly Kurin, Maximilian Igl, Tim Rocktschel, Wendelin Boehmer, Shimon Whiteson |
| 2021 | ICML | Prioritized Level Replay. | Minqi Jiang, Edward Grefenstette, Tim Rocktschel |
| 2021 | NAACL | How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. | Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktschel, Jason Weston |
| 2021 | NAACL | KILT: a Benchmark for Knowledge Intensive Language Tasks. | Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktschel, Sebastian Riedel |
| 2020 | AAAI | Generating Interactive Worlds with Text. | Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktschel, Arthur Szlam, Jason Weston |
| 2020 | AAAI | Differentiable Reasoning on Large Knowledge Bases and Natural Language. | Pasquale Minervini, Matko Bosnjak, Tim Rocktschel, Sebastian Riedel, Edward Grefenstette |
| 2020 | EMNLP | How Decoding Strategies Affect the Verifiability of Generated Text. | Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel |
| 2020 | EMNLP | Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. | Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktschel |
| 2020 | ICLR | RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. | Roberta Raileanu, Tim Rocktschel |
| 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 |
| 2019 | ACL | NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. | Leon Weber, Pasquale Minervini, Jannes Mnchmeyer, Ulf Leser, Tim Rocktschel |
| 2019 | EMNLP | Language Models as Knowledge Bases? | Fabio Petroni, Tim Rocktschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller |
| 2019 | EMNLP | Learning to Speak and Act in a Fantasy Text Adventure Game. | Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktschel, Douwe Kiela, Arthur Szlam, Jason Weston |
| 2019 | ICLR | Stable Opponent Shaping in Differentiable Games. | Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktschel, Shimon Whiteson |
| 2019 | ICML | A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. | Jingkai Mao, Jakob N. Foerster, Tim Rocktschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson |
| 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 |
| 2019 | NeSy | Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. | Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktschel, Jun Wang, Matko Bosnjak |
| 2018 | ACL | Jack the Reader - A Machine Reading Framework. | Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel |
| 2018 | EMNLP | Interpretation of Natural Language Rules in Conversational Machine Reading. | Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel |
| 2018 | ICLR | TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning. | Gregory Farquhar, Tim Rocktschel, Maximilian Igl, Shimon Whiteson |
| 2018 | ICLR | DiCE: The Infinitely Differentiable Monte-Carlo Estimator. | Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktschel, Eric P. Xing, Shimon Whiteson |
| 2018 | ICML | DiCE: The Infinitely Differentiable Monte Carlo Estimator. | Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktschel, Eric P. Xing, Shimon Whiteson |
| 2017 | ICLR | Programming With a Differentiable Forth Interpreter. | Matko Bosnjak, Tim Rocktschel, Jason Naradowsky, Sebastian Riedel |
| 2017 | ICLR | Frustratingly Short Attention Spans in Neural Language Modeling. | Michal Daniluk, Tim Rocktschel, Johannes Welbl, Sebastian Riedel |
| 2017 | ICML | Programming with a Differentiable Forth Interpreter. | Matko Bosnjak, Tim Rocktschel, Jason Naradowsky, Sebastian Riedel |
| 2017 | UAI | Adversarial Sets for Regularising Neural Link Predictors. | Pasquale Minervini, Thomas Demeester, Tim Rocktschel, Sebastian Riedel |
| 2016 | EMNLP | Stance Detection with Bidirectional Conditional Encoding. | Isabelle Augenstein, Tim Rocktschel, Andreas Vlachos, Kalina Bontcheva |
| 2016 | EMNLP | Lifted Rule Injection for Relation Embeddings. | Thomas Demeester, Tim Rocktschel, Sebastian Riedel |
| 2015 | ACL | Matrix and Tensor Factorization Methods for Natural Language Processing. | Guillaume Bouchard, Jason Naradowsky, Sebastian Riedel, Tim Rocktschel, Andreas Vlachos |
| 2015 | NAACL | Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction. | Sameer Singh, Tim Rocktschel, Sebastian Riedel |
| 2015 | NAACL | Injecting Logical Background Knowledge into Embeddings for Relation Extraction. | Tim Rocktschel, Sameer Singh, Sebastian Riedel |
| 2015 | NAACL | WOLFE: An NLP-friendly Declarative Machine Learning Stack. | Sameer Singh, Tim Rocktschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel |
| 2014 | AAAI | WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. | Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktschel, Larysa Visengeriyeva, Jan Noessner |