Tim Rocktäschel

179 papers A* 43A 5Journal 95Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DéjàQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems. CoRR Willem Röpke, Samuel Coward, Andrei Lupu, Thomas Foster, Tim Rocktäschel, Jakob N. Foerster
2025	A*	`conf`	BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. ICLR 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 Rocktäschel
2025	J	`jnl`	D3PO: Preference-Based Alignment of Discrete Diffusion Models. CoRR Umberto Borso, Davide Paglieri, Jude Wells, Tim Rocktäschel
2025	J	`jnl`	Imagined Autocurricula. CoRR Ahmet Hamdi Güzel, Matthew Thomas Jackson, Jarek Liesen, Tim Rocktäschel, Jakob Nicolaus Foerster, Ilija Bogunovic, Jack Parker-Holder
2025	A*	`conf`	Investigating Non-Transitivity in LLM-as-a-Judge. ICML Yi Xu, Laura Ruis, Tim Rocktäschel, Robert Kirk
2025	J	`jnl`	Investigating Non-Transitivity in LLM-as-a-Judge. CoRR Yi Xu, Laura Ruis, Tim Rocktäschel, Robert Kirk
2025	J	`jnl`	LLM-First Search: Self-Guided Exploration of the Solution Space. CoRR Nathan Herr, Tim Rocktäschel, Roberta Raileanu
2025	J	`jnl`	Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents. CoRR Davide Paglieri, Bartlomiej Cupial, Jonathan Cook, Ulyana Piterbarg, Jens Tuyls, Edward Grefenstette, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktäschel
2025	A*	`conf`	Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models. ICLR Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwaraknath Gnaneshwar, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo
2025	J	`jnl`	Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training. CoRR Jonathan Cook, Silvia Sapora, Arash Ahmadian, Akbir Khan, Tim Rocktäschel, Jakob N. Foerster, Laura Ruis
2024	J	`jnl`	Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL. CoRR Eduardo Pignatelli, Johan Ferret, Tim Rocktäschel, Edward Grefenstette, Davide Paglieri, Samuel Coward, Laura Toni
2024	J	`jnl`	BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. CoRR 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 Rocktäschel
2024	A*	`conf`	Debating with More Persuasive LLMs Leads to More Truthful Answers. ICML Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rocktäschel, Ethan Perez
2024	J	`jnl`	Debating with More Persuasive LLMs Leads to More Truthful Answers. CoRR Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rocktäschel, Ethan Perez
2024	A*	`conf`	Genie: Generative Interactive Environments. ICML 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 Rocktäschel
2024	J	`jnl`	Genie: Generative Interactive Environments. CoRR Jake Bruce, Michael 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 Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024	A*	`conf`	H-GAP: Humanoid Control with a Generalist Planner. ICLR Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2024	A	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	A*	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. NeurIPS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	A*	`conf`	Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. ICLR Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tim Rocktäschel, Edward Grefenstette, David Scott Krueger
2024	A	`conf`	Multi-Agent Diagnostics for Robustness via Illuminated Diversity. AAMAS Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel
2024	J	`jnl`	Multi-Agent Diagnostics for Robustness via Illuminated Diversity. CoRR Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel
2024	J	`jnl`	Open-Endedness is Essential for Artificial Superhuman Intelligence. CoRR Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel
2024	J	`jnl`	Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs. CoRR Davide Paglieri, Saurabh Dash, Tim Rocktäschel, Jack Parker-Holder
2024	A*	`conf`	Position: Open-Endedness is Essential for Artificial Superhuman Intelligence. ICML Edward Hughes, Michael D. Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel
2024	J	`jnl`	Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models. CoRR Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwarak Talupuru, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo
2024	A*	`conf`	Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution. ICML Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel
2024	A*	`conf`	Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. NeurIPS Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu
2024	J	`jnl`	Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. CoRR Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu
2024	A	`conf`	Scaling Opponent Shaping to High Dimensional Games. AAMAS Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2024	J	`jnl`	TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation. CoRR Jonathan Cook, Tim Rocktäschel, Jakob N. Foerster, Dennis Aumiller, Alex Wang
2023	J	`jnl`	A Survey of Zero-shot Generalisation in Deep Reinforcement Learning. J. Artif. Intell. Res. Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel
2023	A*	`conf`	Efficient Planning in a Compact Latent Action Space. ICLR Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
2023	J	`jnl`	H-GAP: Humanoid Control with a Generalist Planner. CoRR Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2023	A*	`conf`	Human-Timescale Adaptation in an Open-Ended Task Space. ICML 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 Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang
2023	J	`jnl`	Human-Timescale Adaptation in an Open-Ended Task Space. CoRR Adaptive Agent Team, Jakob Bauer, Kate Baumli, Satinder Baveja, 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 Rocktäschel, Yannick Schroecker, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang
2023	J	`jnl`	JaxMARL: Multi-Agent RL Environments in JAX. CoRR Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster
2023	J	`jnl`	Leading the Pack: N-player Opponent Shaping. CoRR Alexandra Souly, Timon Willi, Akbir Khan, Robert Kirk, Chris Lu, Edward Grefenstette, Tim Rocktäschel
2023	A*	`conf`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel
2023	J	`jnl`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. CoRR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Roberta Raileanu, Tim Rocktäschel
2023	J	`jnl`	Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. CoRR Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Edward Grefenstette, Tim Rocktäschel, David Scott Krueger
2023	J	`jnl`	Mix-ME: Quality-Diversity for Multi-Agent Learning. CoRR Garðar Ingvarsson, Mikayel Samvelyan, Bryan Lim, Manon Flageat, Antoine Cully, Tim Rocktäschel
2023	J	`jnl`	Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution. CoRR Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel
2023	J	`jnl`	Scaling Opponent Shaping to High Dimensional Games. CoRR Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2023	—	`conf`	Stabilizing Unsupervised Environment Design with a Learned Adversary. CoLLAs Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
2023	J	`jnl`	Stabilizing Unsupervised Environment Design with a Learned Adversary. CoRR Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
2023	A*	`conf`	The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs. NeurIPS Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette
2023	J	`jnl`	Vision-Language Models as a Source of Rewards. CoRR Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang
2023	J	`jnl`	minimax: Efficient Baselines for Autocurricula in JAX. CoRR Minqi Jiang, Michael Dennis, Edward Grefenstette, Tim Rocktäschel
2022	A*	`conf`	Dungeons and Data: A Large-Scale NetHack Dataset. NeurIPS Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
2022	J	`jnl`	Dungeons and Data: A Large-Scale NetHack Dataset. CoRR Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
2022	J	`jnl`	Efficient Planning in a Compact Latent Action Space. CoRR Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
2022	A*	`conf`	Evolving Curricula with Regret-Based Environment Design. ICML Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Evolving Curricula with Regret-Based Environment Design. CoRR Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2022	A*	`conf`	Exploration via Elliptical Episodic Bonuses. NeurIPS Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
2022	J	`jnl`	Exploration via Elliptical Episodic Bonuses. CoRR Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
2022	J	`jnl`	General Intelligence Requires Rethinking Exploration. CoRR Minqi Jiang, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Generalization in Cooperative Multi-Agent Systems. CoRR Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson
2022	J	`jnl`	Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette
2022	A*	`conf`	GriddlyJS: A Web IDE for Reinforcement Learning. NeurIPS Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel
2022	J	`jnl`	GriddlyJS: A Web IDE for Reinforcement Learning. CoRR Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel
2022	A*	`conf`	Grounding Aleatoric Uncertainty for Unsupervised Environment Design. NeurIPS Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2022	J	`jnl`	Grounding Aleatoric Uncertainty in Unsupervised Environment Design. CoRR Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2022	—	`conf`	Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. CoLLAs Michael T. Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. CoRR Michael T. Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel
2022	A*	`conf`	Improving Intrinsic Exploration with Language Abstractions. NeurIPS Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Improving Intrinsic Exploration with Language Abstractions. CoRR Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
2022	A*	`conf`	Improving Policy Learning via Language Dynamics Distillation. NeurIPS Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Improving Policy Learning via Language Dynamics Distillation. CoRR Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Insights From the NeurIPS 2021 NetHack Challenge. CoRR Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2022	J	`jnl`	Large language models are not zero-shot communicators. CoRR Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette
2022	A*	`conf`	Learning General World Models in a Handful of Reward-Free Deployments. NeurIPS Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Learning General World Models in a Handful of Reward-Free Deployments. CoRR Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette
2021	J	`jnl`	A Survey of Generalisation in Deep Reinforcement Learning. CoRR Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers. CoRR Danielle Rothermel, Margaret Li, Tim Rocktäschel, Jakob N. Foerster
2021	A	`conf`	Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. AAMAS Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
2021	J	`jnl`	Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. CoRR Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
2021	—	`conf`	How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. NAACL-HLT Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston
2021	—	`conf`	Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2021	—	`conf`	KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
2021	—	`ch.`	Learning Reasoning Strategies in End-to-End Differentiable Proving. Neuro-Symbolic Artificial Intelligence Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2021	A*	`conf`	Learning with AMIGo: Adversarially Motivated Intrinsic Goals. ICLR Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette
2021	—	`conf`	MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. NeurIPS Datasets and Benchmarks Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. CoRR Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
2021	A*	`conf`	My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. ICLR Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson
2021	A*	`conf`	Prioritized Level Replay. ICML Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
2021	A*	`conf`	Replay-Guided Adversarial Environment Design. NeurIPS Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	Replay-Guided Adversarial Environment Design. CoRR Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2020	—	`conf`	Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. EMNLP (1) Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
2020	A*	`conf`	Differentiable Reasoning on Large Knowledge Bases and Natural Language. AAAI Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
2020	—	`ch.`	Differentiable Reasoning on Large Knowledge Bases and Natural Language. Knowledge Graphs for eXplainable Artificial Intelligence Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
2020	A*	`conf`	Generating Interactive Worlds with Text. AAAI Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston
2020	J	`jnl`	HUNER: improving biomedical NER with pretraining. Bioinform. Leon Weber, Jannes Münchmeyer, Tim Rocktäschel, Maryam Habibi, Ulf Leser
2020	—	`conf`	How Context Affects Language Models' Factual Predictions. AKBC Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
2020	J	`jnl`	How Context Affects Language Models' Factual Predictions. CoRR Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
2020	—	`conf`	How Decoding Strategies Affect the Verifiability of Generated Text. EMNLP (Findings) Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
2020	J	`jnl`	How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. CoRR Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston
2020	J	`jnl`	KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
2020	A*	`conf`	Learning Reasoning Strategies in End-to-End Differentiable Proving. ICML Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2020	J	`jnl`	Learning Reasoning Strategies in End-to-End Differentiable Proving. CoRR Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2020	J	`jnl`	Learning with AMIGo: Adversarially Motivated Intrinsic Goals. CoRR Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette
2020	J	`jnl`	My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. CoRR Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	Prioritized Level Replay. CoRR Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
2020	A*	`conf`	RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. ICLR Roberta Raileanu, Tim Rocktäschel
2020	J	`jnl`	RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. CoRR Roberta Raileanu, Tim Rocktäschel
2020	A*	`conf`	RTFM: Generalising to New Environment Dynamics via Reading. ICLR Victor Zhong, Tim Rocktäschel, Edward Grefenstette
2020	A*	`conf`	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
2020	J	`jnl`	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
2020	A*	`conf`	The NetHack Learning Environment. NeurIPS Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
2020	J	`jnl`	The NetHack Learning Environment. CoRR Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
2020	J	`jnl`	There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. CoRR Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
2020	J	`jnl`	WordCraft: An Environment for Benchmarking Commonsense Agents. CoRR Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel
2019	A*	`conf`	A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. ICML Jingkai Mao, Jakob N. Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson
2019	A*	`conf`	A Survey of Reinforcement Learning Informed by Natural Language. IJCAI Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
2019	J	`jnl`	A Survey of Reinforcement Learning Informed by Natural Language. CoRR Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
2019	J	`jnl`	Differentiable Reasoning on Large Knowledge Bases and Natural Language. CoRR Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
2019	J	`jnl`	Generating Interactive Worlds with Text. CoRR Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston
2019	J	`jnl`	How Decoding Strategies Affect the Verifiability of Generated Text. CoRR Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
2019	—	`conf`	Language Models as Knowledge Bases? EMNLP/IJCNLP (1) Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller
2019	J	`jnl`	Language Models as Knowledge Bases? CoRR Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
2019	—	`conf`	Learning to Speak and Act in a Fantasy Text Adventure Game. EMNLP/IJCNLP (1) Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston
2019	J	`jnl`	Learning to Speak and Act in a Fantasy Text Adventure Game. CoRR Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston
2019	J	`jnl`	MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. CoRR Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel
2019	—	`conf`	NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. ACL (1) Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel
2019	J	`jnl`	NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. CoRR Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel
2019	—	`conf`	Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. NeSy@IJCAI Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktäschel, Jun Wang, Matko Bosnjak
2019	J	`jnl`	Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. CoRR Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang
2019	J	`jnl`	RTFM: Generalising to Novel Environment Dynamics via Reading. CoRR Victor Zhong, Tim Rocktäschel, Edward Grefenstette
2019	—	`conf`	Stable Opponent Shaping in Differentiable Games. ICLR (Poster) Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson
2019	J	`jnl`	TorchBeast: A PyTorch Platform for Distributed RL. CoRR Heinrich Küttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rocktäschel, Edward Grefenstette
2018	—	`—`	Combining representation learning with logic for language processing. Tim Rocktäschel
2018	A*	`conf`	DiCE: The Infinitely Differentiable Monte Carlo Estimator. ICML Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	—	`conf`	DiCE: The Infinitely Differentiable Monte-Carlo Estimator. ICLR (Workshop) Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	J	`jnl`	DiCE: The Infinitely Differentiable Monte-Carlo Estimator. CoRR Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	A*	`conf`	Interpretation of Natural Language Rules in Conversational Machine Reading. EMNLP Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel
2018	J	`jnl`	Interpretation of Natural Language Rules in Conversational Machine Reading. CoRR Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel
2018	—	`conf`	Jack the Reader - A Machine Reading Framework. ACL (4) Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	Jack the Reader - A Machine Reading Framework. CoRR Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	Stable Opponent Shaping in Differentiable Games. CoRR Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson
2018	J	`jnl`	Towards Neural Theorem Proving at Scale. CoRR Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel
2018	—	`conf`	TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning. ICLR (Poster) Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, Shimon Whiteson
2018	A*	`conf`	e-SNLI: Natural Language Inference with Natural Language Explanations. NeurIPS Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
2018	J	`jnl`	e-SNLI: Natural Language Inference with Natural Language Explanations. CoRR Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
2017	A	`conf`	Adversarial Sets for Regularising Neural Link Predictors. UAI Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2017	J	`jnl`	Adversarial Sets for Regularising Neural Link Predictors. CoRR Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2017	J	`jnl`	Combining Representation Learning with Logic for Language Processing. CoRR Tim Rocktäschel
2017	—	`conf`	End-to-end Differentiable Proving. NIPS Tim Rocktäschel, Sebastian Riedel
2017	J	`jnl`	End-to-end Differentiable Proving. CoRR Tim Rocktäschel, Sebastian Riedel
2017	—	`conf`	Frustratingly Short Attention Spans in Neural Language Modeling. ICLR (Poster) Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel
2017	J	`jnl`	Frustratingly Short Attention Spans in Neural Language Modeling. CoRR Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel
2017	—	`conf`	Programming With a Differentiable Forth Interpreter. ICLR (Workshop) Matko Bosnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel
2017	A*	`conf`	Programming with a Differentiable Forth Interpreter. ICML Matko Bosnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel
2017	J	`jnl`	TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning. CoRR Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, Shimon Whiteson
2016	J	`jnl`	Generating Natural Language Inference Chains. CoRR Vladyslav Kolesnyk, Tim Rocktäschel, Sebastian Riedel
2016	—	`conf`	Learning Knowledge Base Inference with Neural Theorem Provers. AKBC@NAACL-HLT Tim Rocktäschel, Sebastian Riedel
2016	J	`jnl`	Learning Python Code Suggestion with a Sparse Pointer Network. CoRR Avishkar Bhoopchand, Tim Rocktäschel, Earl T. Barr, Sebastian Riedel
2016	A*	`conf`	Lifted Rule Injection for Relation Embeddings. EMNLP Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2016	J	`jnl`	Lifted Rule Injection for Relation Embeddings. CoRR Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2016	J	`jnl`	MuFuRU: The Multi-Function Recurrent Unit. CoRR Dirk Weissenborn, Tim Rocktäschel
2016	—	`ed.`	Proceedings of the 5th Workshop on Automated Knowledge Base Construction, AKBC@NAACL-HLT 2016, San Diego, CA, USA, June 17, 2016 AKBC@NAACL-HLT Jay Pujara, Tim Rocktäschel, Danqi Chen, Sameer Singh
2016	J	`jnl`	Programming with a Differentiable Forth Interpreter. CoRR Sebastian Riedel, Matko Bosnjak, Tim Rocktäschel
2016	A*	`conf`	Reasoning about Entailment with Neural Attention. ICLR (Poster) Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Phil Blunsom
2016	—	`conf`	Regularizing Relation Representations by First-order Implications. AKBC@NAACL-HLT Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2016	J	`jnl`	SETH detects and normalizes genetic variants in text. Bioinform. Philippe Thomas, Tim Rocktäschel, Jörg Hakenberg, Yvonne Lichtblau, Ulf Leser
2016	A*	`conf`	Stance Detection with Bidirectional Conditional Encoding. EMNLP Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva
2016	J	`jnl`	Stance Detection with Bidirectional Conditional Encoding. CoRR Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva
2016	—	`conf`	emoji2vec: Learning Emoji Representations from their Description. SocialNLP@EMNLP Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel
2016	J	`jnl`	emoji2vec: Learning Emoji Representations from their Description. CoRR Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel
2015	—	`conf`	Injecting Logical Background Knowledge into Embeddings for Relation Extraction. HLT-NAACL Tim Rocktäschel, Sameer Singh, Sebastian Riedel
2015	—	`conf`	Matrix and Tensor Factorization Methods for Natural Language Processing. ACL (Tutorial Abstracts) Guillaume Bouchard, Jason Naradowsky, Sebastian Riedel, Tim Rocktäschel, Andreas Vlachos
2015	J	`jnl`	The CHEMDNER corpus of chemicals and drugs and its annotation principles. J. Cheminformatics Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M. Lowe, Roger A. Sayle, Riza Theresa Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ho Ryu, S. V. Ramanan, P. Senthil Nathan, Slavko Zitnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber A. Akhondi, Jan A. Kors, Shuo Xu, Xin An, Utpal Kumar Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer M. Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C. Lee Giles, Hongfang Liu, Ravikumar Komandur Elayavilli, Andre Lamurias, Francisco M. Couto, Hong-Jie Dai, Richard Tzong-Han Tsai, Caglar Ata, Tolga Can, Anabel Usie, Rui Alves, Isabel Segura-Bedmar, Paloma Martínez, Julen Oyarzabal, Alfonso Valencia
2015	—	`conf`	Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction. VS@HLT-NAACL Sameer Singh, Tim Rocktäschel, Sebastian Riedel
2015	—	`conf`	Towards Extracting Faithful and Descriptive Representations of Latent Variable Models. AAAI Spring Symposia Vicente Iván Sánchez Carmona, Tim Rocktäschel, Sebastian Riedel, Sameer Singh
2015	—	`conf`	Towards Two-Way Interaction with Reading Machines. SLSP Sebastian Riedel, Sameer Singh, Guillaume Bouchard, Tim Rocktäschel, Vicente Iván Sánchez Carmona
2015	—	`conf`	WOLFE: An NLP-friendly Declarative Machine Learning Stack. HLT-NAACL Sameer Singh, Tim Rocktäschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel
2014	—	`conf`	WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. StarAI@AAAI Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner
2013	—	`conf`	WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting. SemEval@NAACL-HLT Philippe Thomas, Mariana L. Neves, Tim Rocktäschel, Ulf Leser
2013	—	`conf`	WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs. SemEval@NAACL-HLT Tim Rocktäschel, Torsten Huber, Michael Weidlich, Ulf Leser
2012	J	`jnl`	ChemSpot: a hybrid system for chemical named entity recognition. Bioinform. Tim Rocktäschel, Michael Weidlich, Ulf Leser