Seguir
Jane Dwivedi-Yu
Jane Dwivedi-Yu
Otros nombresJane A. Yu, JA Yu
Meta AI
Dirección de correo verificada de meta.com - Página principal
Título
Citado por
Citado por
Año
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
7712023
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
3492023
Augmented language models: a survey
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...
Transactions on Machine Learning Research (TMLR), 2023
3022023
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
1232023
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
84*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
692022
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
212023
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
172023
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
72023
Detecting inspiring content on social media
O Ignat, YL Boureau, AY Jane, A Halevy
Affective Computing and Intelligent Interaction (ACII), 1-8, 2021
62021
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
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20