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Aleksandra Piktus
24
results:
Search for persons
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Online (24)
Mediatypes
Articles (Online) (3)
OpenAccess-fulltext (21)
Sorted by: Relevance
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?
1
Online tools help large language models to solve problems t..:
Piktus, Aleksandra
Nature. 618 (2023) 7965 - p. 465-466 , 2023
Link:
https://doi.org/10.1038/..
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2
Improving Wikipedia verifiability with AI:
Petroni, Fabio
;
Broscheit, Samuel
;
Piktus, Aleksandra
...
Nature Machine Intelligence. 5 (2023) 10 - p. 1142-1148 , 2023
Link:
https://doi.org/10.1038/..
?
3
PAQ: 65 Million Probably-Asked Questions and What You Can D..:
Lewis, Patrick
;
Wu, Yuxiang
;
Liu, Linqing
...
Transactions of the Association for Computational Linguistics. 9 (2021) - p. 1098-1115 , 2021
Link:
https://doi.org/10.1162/..
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4
Improving Wikipedia Verifiability with AI:
Fabio Petroni
;
Samuel Broscheit
;
Aleksandra Piktus
...
doi:10.5281/zenodo.8252865. , 2022
Link:
https://zenodo.org/recor..
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5
PAQ: 65 Million Probably-Asked Questions and What You Can D..:
Patrick Lewis
;
Yuxiang Wu
;
Linqing Liu
...
https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00415/107615/PAQ-65-Million-Probably-Asked-Questions-and-What. , 2021
Link:
https://doi.org/10.1162/..
?
6
How Decoding Strategies Affect the Verifiability of Generat..:
Luca Massarelli
;
Fabio Petroni
;
Aleksandra Piktus
...
ispartofbook:Findings of the Association for Computational Linguistics: EMNLP 2020. , 2020
Link:
http://hdl.handle.net/11..
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7
Spacerini: Plug-and-play Search Engines with Pyserini and H..:
Akiki, Christopher
;
Ogundepo, Odunayo
;
Piktus, Aleksandra
...
http://arxiv.org/abs/2302.14534. , 2023
Link:
http://arxiv.org/abs/230..
?
8
FinGPT: Large Generative Models for a Small Language:
Luukkonen, Risto
;
Komulainen, Ville
;
Luoma, Jouni
...
http://arxiv.org/abs/2311.05640. , 2023
Link:
http://arxiv.org/abs/231..
?
9
GAIA Search: Hugging Face and Pyserini Interoperability for..:
Piktus, Aleksandra
;
Ogundepo, Odunayo
;
Akiki, Christopher
...
http://arxiv.org/abs/2306.01481. , 2023
Link:
http://arxiv.org/abs/230..
?
10
Scaling Data-Constrained Language Models:
Muennighoff, Niklas
;
Rush, Alexander M
;
Barak, Boaz
...
http://arxiv.org/abs/2305.16264. , 2023
Link:
http://arxiv.org/abs/230..
?
11
The ROOTS Search Tool: Data Transparency for LLMs:
Piktus, Aleksandra
;
Akiki, Christopher
;
Villegas, Paulo
...
http://arxiv.org/abs/2302.14035. , 2023
Link:
http://arxiv.org/abs/230..
?
12
The ROOTS Search Tool: Data Transparency for LLMs:
Piktus, Aleksandra
;
Akiki, Christopher
;
Villegas, Paulo
...
https://pure.itu.dk/portal/da/publications/cac34f53-3958-43c5-808f-d4ff52db8f8b. , 2023
Link:
https://pure.itu.dk/port..
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13
Improving Wikipedia Verifiability with AI:
Petroni, Fabio
;
Broscheit, Samuel
;
Piktus, Aleksandra
...
http://arxiv.org/abs/2207.06220. , 2022
Link:
http://arxiv.org/abs/220..
?
14
Evaluate & Evaluation on the Hub: Better Best Practices for..:
von Werra, Leandro
;
Tunstall, Lewis
;
Thakur, Abhishek
...
http://arxiv.org/abs/2210.01970. , 2022
Link:
http://arxiv.org/abs/221..
?
15
Domain-matched Pre-training Tasks for Dense Retrieval:
Oğuz, Barlas
;
Lakhotia, Kushal
;
Gupta, Anchit
...
http://arxiv.org/abs/2107.13602. , 2021
Link:
http://arxiv.org/abs/210..
1-15