Segui
Freda Shi
Titolo
Citata da
Citata da
Anno
Incoder: A generative model for code infilling and synthesis
D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ...
ICLR, 2023
3572023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Y Zhang, Y Li, L Cui, D Cai, L Liu, T Fu, X Huang, E Zhao, Y Zhang, ...
arXiv preprint arXiv:2309.01219, 2023
2472023
Large language models can be easily distracted by irrelevant context
F Shi, X Chen, K Misra, N Scales, D Dohan, EH Chi, N Schärli, D Zhou
ICML, 2023
174*2023
Language models are multilingual chain-of-thought reasoners
F Shi, M Suzgun, M Freitag, X Wang, S Srivats, S Vosoughi, HW Chung, ...
ICLR, 2023
1302023
Visually grounded neural syntax acquisition
H Shi, J Mao, K Gimpel, K Livescu
ACL, 2019
792019
NL-Augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
NEJLT, 2023
652023
Natural language to code translation with execution
F Shi, D Fried, M Ghazvininejad, L Zettlemoyer, SI Wang
EMNLP, 2022
582022
On tree-based neural sentence modeling
H Shi, H Zhou, J Chen, L Li
EMNLP, 2018
462018
Learning visually-grounded semantics from contrastive adversarial samples
H Shi, J Mao, T Xiao, Y Jiang, J Sun
COLING 2018, 2018
462018
Substructure substitution: Structured data augmentation for NLP
H Shi, K Livescu, K Gimpel
Findings of ACL, 2021
372021
A cross-task analysis of text span representations
S Toshniwal, H Shi, B Shi, L Gao, K Livescu, K Gimpel
RepL4NLP, 2020
372020
Bilingual lexicon induction via unsupervised bitext construction and word alignment
H Shi, L Zettlemoyer, SI Wang
ACL, 2021
322021
On the role of supervision in unsupervised constituency parsing
H Shi, K Livescu, K Gimpel
EMNLP, 2020
232020
Cardiovascular risk prediction method based on test analysis and data mining ensemble system
S Xu, H Shi, X Duan, T Zhu, P Wu, D Liu
2016 IEEE International Conference on Big Data Analysis (ICBDA), 1-5, 2016
112016
Grammar-Based Grounded Lexicon Learning
J Mao, F Shi, J Wu, R Levy, J Tenenbaum
NeurIPS 34, 7865-7878, 2021
102021
Deep Clustering of Text Representations for Supervision-Free Probing of Syntax
V Gupta, H Shi, K Gimpel, M Sachan
AAAI, 2022
8*2022
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing
H Shi, K Gimpel, K Livescu
ACL, 2022
72022
Real multi-sense or pseudo multi-sense: An approach to improve word representation
H Shi, C Li, J Hu
CL4LC 2016, 2017
52017
Constructing high quality sense-specific corpus and word embedding via unsupervised elimination of pseudo multi-sense
H Shi, X Wang, Y Sun, J Hu
LREC, 2018
32018
Audio-Visual Neural Syntax Acquisition
CIJ Lai, F Shi, P Peng, Y Kim, K Gimpel, S Chang, YS Chuang, S Bhati, ...
ASRU, 2023
2*2023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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