Sledovat
Tim Rocktäschel
Tim Rocktäschel
Další jménaTim Rocktaeschel, Tim Rocktaschel
Director and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLIS
E-mailová adresa ověřena na: cs.ucl.ac.uk - Domovská stránka
Název
Citace
Citace
Rok
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
65552020
Language Models as Knowledge Bases?
F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel
EMNLP 2019, 2019
30592019
Reasoning about Entailment with Neural Attention
T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom
ICLR 2016, 2016
9632016
e−SNLI: Natural Language Inference with Natural Language Explanations
OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom
NeurIPS 2018, 2018
6752018
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
5442021
Stance Detection with Bidirectional Conditional Encoding
I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva
EMNLP 2016, 2016
5212016
End-to-End Differentiable Proving
T Rocktäschel, S Riedel
NeurIPS 2017 (𝗢𝗿𝗮𝗹), 2017
5102017
A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning
R Kirk, A Zhang, E Grefenstette, T Rocktäschel
JAIR, 2023
412*2023
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
4002015
emoji2vec: Learning Emoji Representations from their Description
B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel
SocialNLP 2016 (𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱), 2016
3992016
ChemSpot: a Hybrid System for Chemical Named Entity Recognition
T Rocktäschel, M Weidlich, U Leser
Bioinformatics, 2012
3592012
A Survey of Reinforcement Learning Informed by Natural Language
J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ...
IJCAI 2019, 2019
3332019
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
T Rocktäschel, S Singh, S Riedel
NAACL 2015, 2015
3162015
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
2532020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
R Raileanu, T Rocktäschel
ICLR 2020, 2020
2312020
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
2242019
The NetHack Learning Environment
H Küttler, N Nardelli, A Miller, R Raileanu, M Selvatici, E Grefenstette, ...
NeurIPS 2020, 2020
2122020
Prioritized Level Replay
M Jiang, E Grefenstette, T Rocktäschel
ICML 2021, 2021
1902021
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
C Fernando, D Banarse, H Michalewski, S Osindero, T Rocktäschel
ICML 2024, 2024
1862024
Lifted Rule Injection for Relation Embeddings
T Demeester, T Rocktäschel, S Riedel
EMNLP 2016, 2016
1862016
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Články 1–20