Tim Rocktäschel

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Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLVerified email at google.com
Heinrich KüttlerxAIVerified email at math.lmu.de
Fabio PetroniSamaya AIVerified email at samaya.ai
Minqi JiangResearch Scientist at Google DeepMindVerified email at ucl.ac.uk
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Matko BošnjakGoogle DeepMindVerified email at deepmind.com
Pasquale MinerviniUniversity of Edinburgh, Miniml.AI, ELLISVerified email at ed.ac.uk
Jack Parker-HolderGoogle DeepMind, UCLVerified email at google.com
Phil BlunsomCohere & Oxford UniversityVerified email at cs.ox.ac.uk
Aleksandra PiktusCohere | Sapienza, University of RomeVerified email at cohere.com
Douwe KielaContextual AI, Stanford UniversityVerified email at stanford.edu
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Sameer SinghAssociate Professor, UC IrvineVerified email at uci.edu
Alexander Holden MillerMeta Fundamental AI Research (FAIR)Verified email at meta.com
Vladimir Karpukhinfacebook AI researchVerified email at fb.com
Ethan PerezAnthropic; New York UniversityVerified email at anthropic.com
Mikayel SamvelyanMeta AI, UCLVerified email at meta.com
Robert KirkPhD Student, University College LondonVerified email at ucl.ac.uk

Tim Rocktäschel

Other namesTim Rocktaeschel, Tim Rocktaschel

Professor of AI at UCL, Open-Endedness Team Lead at Google DeepMind, Fellow ELLIS

Verified email at cs.ucl.ac.uk - Homepage

Artificial General Intelligence Open-Endedness Self-Improvement Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Retrieval-augmented Generation for Knowledge-intensive NLP Tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... NeurIPS 2020, 2020	3736	2020
Language Models as Knowledge Bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019, 2019	2636	2019
Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	950	2016
e−SNLI: Natural Language Inference with Natural Language Explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	600	2018
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	494	2016
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (𝗢𝗿𝗮𝗹), 2017	482	2017
KILT: a Benchmark for Knowledge Intensive Language Tasks F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ... NAACL-HLT 2021, 2021	463	2021
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016 (𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱), 2016	383	2016
The CHEMDNER Corpus of Chemicals and Drugs and its Annotation Principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of Cheminformatics, 2015	367	2015
A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning R Kirk, A Zhang, E Grefenstette, T Rocktäschel JAIR, 2023	347	2023
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	346	2012
A Survey of Reinforcement Learning Informed by Natural Language J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ... IJCAI 2019, 2019	306	2019
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	306	2015
How Context Affects Language Models' Factual Predictions F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, A H. Miller, S Riedel AKBC 2020 (𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱), 2020	222	2020
Learning to Speak and Act in a Fantasy Text Adventure Game J Urbanek, A Fan, S Karamcheti, S Jain, S Humeau, E Dinan, ... EMNLP 2019, 2019	207	2019
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments R Raileanu, T Rocktäschel ICLR 2020, 2020	200	2020
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	181	2016
Programming with a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel ICML 2017, 2017	175*	2017
Interpretation of Natural Language Rules in Conversational Machine Reading M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ... EMNLP 2018, 2018	174	2018
The NetHack Learning Environment H Küttler, N Nardelli, A Miller, R Raileanu, M Selvatici, E Grefenstette, ... NeurIPS 2020, 2020	173	2020

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