Zijian Wang
Zijian Wang
Senior Scientist @ AWS AI Labs
Verified email at - Homepage
Cited by
Cited by
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Demographic inference and representative population estimates from multilingual social media data
Z Wang, S Hale, DI Adelani, P Grabowicz, T Hartman, F Flöck, D Jurgens
TheWebConf 2019 [arXiv:1905.05961], 2056-2067, 2019
Answering Complex Open-domain Questions Through Iterative Query Generation
P Qi, X Lin, L Mehr, Z Wang, CD Manning
EMNLP 2019 [arXiv:1910.07000], 2019
Multi-lingual Evaluation of Code Generation Models
B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ...
ICLR 2023 [arXiv:2210.14868], 2022
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
It’s going to be okay: Measuring Access to Support in Online Communities
Z Wang, D Jurgens
EMNLP 2018, 33-45, 2018
Starcoder 2 and the stack v2: The next generation
A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ...
arXiv preprint arXiv:2402.19173, 2024
TalkDown: A Corpus for Condescension Detection in Context
Z Wang, C Potts
EMNLP 2019 [arXiv:1909.11272], 2019
Cocomic: Code completion by jointly modeling in-file and cross-file context
Y Ding, Z Wang, WU Ahmad, MK Ramanathan, R Nallapati, P Bhatia, ...
arXiv preprint arXiv:2212.10007, 2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization
Z Li, Z Wang, M Tan, R Nallapati, P Bhatia, A Arnold, B Xiang, D Roth
ACL 2022 [arXiv:2203.11239], 2022
ReCode: Robustness Evaluation of Code Generation Models
S Wang, Z Li, H Qian, C Yang, Z Wang, M Shang, V Kumar, S Tan, B Ray, ...
ACL 2023 [arXiv:2212.10264], 2022
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
Y Ding, Z Wang, WU Ahmad, H Ding, M Tan, N Jain, MK Ramanathan, ...
NeurIPS 2023 [arXiv:2310.11248], 2023
ContraCLM: Contrastive Learning For Causal Language Model
N Jain, D Zhang, W Ahmad, Z Wang, F Nan, X Li, M Tan, R Nallapati, ...
ACL 2023 [arXiv:2210.01185], 6436-6459, 2023
A static evaluation of code completion by large language models
H Ding, V Kumar, Y Tian, Z Wang, R Kwiatkowski, X Li, MK Ramanathan, ...
ACL 2023 [arXiv preprint arXiv:2306.03203], 2023
Social work in the classroom? A tool to evaluate topical relevance in student writing
H Choi, Z Wang, C Brooks, K Collins-Thompson, BG Reed, D Fitch
Proceedings of the 10th International Conference on Educational Data Mining …, 2017
Fewer Truncations Improve Language Modeling
H Ding, Z Wang, G Paolini, V Kumar, A Deoras, D Roth, S Soatto
ICML 2024 [arXiv preprint arXiv:2404.10830], 2024
Debiasing Neural Retrieval via In-batch Balancing Regularization
Y Li, X Wei, Z Wang, S Wang, P Bhatia, X Ma, A Arnold
GeBNLP@NAACL 2022 [arXiv:2205.09240], 2022
Towards greener yet powerful code generation via quantization: An empirical study
X Wei, SK Gonugondla, S Wang, W Ahmad, B Ray, H Qian, X Li, V Kumar, ...
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
Greener yet Powerful: Taming Large Code Generation Models with Quantization
X Wei, S Gonugondla, W Ahmad, S Wang, B Ray, H Qian, X Li, V Kumar, ...
ESEC/FSE 2023 [arXiv:2303.05378], 2023
Modeling subjective assessments of guilt in newspaper crime narratives
E Kreiss, Z Wang, C Potts
CoNLL 2020 [arXiv:2006.09589], 2020
The system can't perform the operation now. Try again later.
Articles 1–20