Sledovat
Jannis Bulian
Jannis Bulian
Google DeepMind
E-mailová adresa ověřena na: cl.cam.ac.uk - Domovská stránka
Název
Citace
Citace
Rok
Ask the right questions: Active question reformulation with reinforcement learning
C Buck, J Bulian, M Ciaramita, W Gajewski, A Gesmundo, N Houlsby, ...
arXiv preprint arXiv:1705.07830, 2017
1742017
Climate-fever: A dataset for verification of real-world climate claims
T Diggelmann, J Boyd-Graber, J Bulian, M Ciaramita, M Leippold
arXiv preprint arXiv:2012.00614, 2020
1132020
Scaling up models and data with t5x and seqio
A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ...
Journal of Machine Learning Research 24 (377), 1-8, 2023
1102023
Graph Isomorphism Parameterized by Elimination Distance to Bounded Degree
J Bulian, A Dawar
Algorithmica, 1-20, 2015
422015
Tomayto, tomahto. beyond token-level answer equivalence for question answering evaluation
J Bulian, C Buck, W Gajewski, B Boerschinger, T Schuster
arXiv preprint arXiv:2202.07654, 2022
292022
Fixed-parameter tractable distances to sparse graph classes
J Bulian, A Dawar
Algorithmica 79 (1), 139-158, 2017
292017
Bare canonicity of representable cylindric and polyadic algebras
J Bulian, I Hodkinson
Annals of Pure and Applied Logic 164 (9), 884-906, 2013
282013
Fool me twice: Entailment from wikipedia gamification
JM Eisenschlos, B Dhingra, J Bulian, B Börschinger, J Boyd-Graber
arXiv preprint arXiv:2104.04725, 2021
272021
Generating query variants using a trained generative model
J Alakuijala, C Buck, J Bulian, M Ciaramita, W Gajewski, A Gesmundo, ...
US Patent 11,663,201, 2023
152023
Climate-fever: A dataset for verification of real-world climate claims
J Bulian, J Boyd-Graber, M Leippold, M Ciaramita, T Diggelmann
NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning, 2020
102020
Learning to coordinate multiple reinforcement learning agents for diverse query reformulation
R Nogueira, J Bulian, M Ciaramita
arXiv preprint arXiv:1809.10658, 2018
92018
Multi-agent query reformulation: Challenges and the role of diversity
R Nogueira, J Bulian, M Ciaramita
82019
Parameterized complexity of distances to sparse graph classes
J Bulian
University of Cambridge, Computer Laboratory, 2017
72017
Assessing Large Language Models on Climate Information
J Bulian, MS Schäfer, A Amini, H Lam, M Ciaramita, B Gaiarin, ...
arXiv preprint arXiv:2310.02932, 2023
62023
Analyzing language learned by an active question answering agent
C Buck, J Bulian, M Ciaramita, W Gajewski, A Gesmundo, N Houlsby, ...
arXiv preprint arXiv:1801.07537, 2018
62018
Scaling up models and data with t5x and seqio, 2022
A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ...
URL https://arxiv. org/abs/2203.17189 4, 0
5
Recognizing multimodal entailment
C Ilharco, A Shirazi, A Gopalan, A Nagrani, B Bratanic, C Bregler, C Funk, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
12021
Meta answering for machine reading
B Borschinger, J Boyd-Graber, C Buck, J Bulian, M Ciaramita, ...
arXiv preprint arXiv:1911.04156, 2019
12019
Generating query variants using a trained generative model
J Alakuijala, C Buck, J Bulian, M Ciaramita, W Gajewski, A Gesmundo, ...
US Patent App. 18/196,913, 2023
2023
AI and Climate Information Needs in Africa
A Amini, C Buck, H Brown, J Bulian, MC Huebscher, M Ciaramita, S Das, ...
Deep Learning Indaba 2023, 2023
2023
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20