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Jane Dwivedi-Yu
Jane Dwivedi-Yu
Sonstige NamenJane A. Yu, JA Yu
Meta AI
Bestätigte E-Mail-Adresse bei meta.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Toolformer: Language models can teach themselves to use tools
T Schick, J Dwivedi-Yu, R Dessì, R Raileanu, M Lomeli, L Zettlemoyer, ...
Neural Information Processing Systems (NeurIPS), 2023
7582023
Atlas: Few-shot learning with retrieval augmented language models
G Izacard, P Lewis, M Lomeli, L Hosseini, F Petroni, T Schick, ...
Journal of Machine Learning Research (JMLR), 2023
3432023
Augmented language models: a survey
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...
Transactions on Machine Learning Research (TMLR), 2023
2992023
Active retrieval augmented generation
Z Jiang, FF Xu, L Gao, Z Sun, Q Liu, J Dwivedi-Yu, Y Yang, J Callan, ...
Empirical Methods in Natural Language Processing (EMNLP), 2023
1192023
PEER: A Collaborative Language Model
T Schick, J Dwivedi-Yu, Z Jiang, F Petroni, P Lewis, G Izacard, Q You, ...
International Conference on Learning Representations (ICLR), 2023
83*2023
The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems
C Ziems, JA Yu, YC Wang, A Halevy, D Yang
Association for Computational Linguistics (ACL), 2022
682022
Worldwide genetic variation of the IGHV and TRBV immune receptor gene families in humans
S Luo, AY Jane, H Li, YS Song
Life Science Alliance, 2019
302019
Estimating copy number and allelic variation at the immunoglobulin heavy chain locus using short reads
S Luo, JA Yu, YS Song
PLoS Computational Biology, 2016
302016
Shepherd: A critic for language model generation
T Wang, P Yu, XE Tan, S O'Brien, R Pasunuru, J Dwivedi-Yu, ...
arXiv preprint arXiv:2308.04592, 2023
262023
Active Learning Principles for In-Context Learning with Large Language Models
K Margatina, T Schick, N Aletras, J Dwivedi-Yu
Empirical Methods in Natural Language Processing (EMNLP) [Findings], 2023
202023
NormBank: A Knowledge Bank of Situational Social Norms
C Ziems, J Dwivedi-Yu, YC Wang, A Halevy, D Yang
Association for Computational Linguistics (ACL), 2023
162023
Editeval: An instruction-based benchmark for text improvements
J Dwivedi-Yu, T Schick, Z Jiang, M Lomeli, P Lewis, G Izacard, E Grave, ...
arXiv preprint arXiv:2209.13331, 2022
152022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
BZ Li, J Yu, M Khabsa, L Zettlemoyer, A Halevy, J Andreas
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
152021
Improving wikipedia verifiability with ai
F Petroni, S Broscheit, A Piktus, P Lewis, G Izacard, L Hosseini, ...
Nature Machine Intelligence 5 (10), 1142-1148, 2023
122023
Understanding conflicts in online conversations
S Levy, RE Kraut, JA Yu, KM Altenburger, YC Wang
International World Wide Web Conference (WWW), 2592-2602, 2022
82022
Learnings from data integration for augmented language models
A Halevy, J Dwivedi-Yu
arXiv preprint arXiv:2304.04576, 2023
62023
A fast machine-learning-guided primer design pipeline for selective whole genome amplification
JA Dwivedi-Yu, ZJ Oppler, MW Mitchell, YS Song, D Brisson
PLoS Computational Biology, 2022
5*2022
Detecting inspiring content on social media
O Ignat, YL Boureau, AY Jane, A Halevy
Affective Computing and Intelligent Interaction (ACII), 1-8, 2021
52021
ROBBIE: Robust Bias Evaluation of Large Generative Language Models
D Esiobu, X Tan, S Hosseini, M Ung, Y Zhang, J Fernandes, J Dwivedi-Yu, ...
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
42023
Selective whole-genome amplification reveals population genetics of Leishmania braziliensis directly from patient skin biopsies
OA Pilling, JL Reis-Cunha, CA Grace, ASF Berry, MW Mitchell, JA Yu, ...
PLoS Pathogens 19 (3), e1011230, 2023
42023
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