Zijian Wang

Orcid: 0000-0002-4368-5092

Affiliations:
  • AWS AI Lab
  • Stanford University, Symbolic Systems Programm, CA, USA
  • University of Michigan, College of Engineering, Department of EECS, Ann Arbor, MI, USA


According to our database1, Zijian Wang authored at least 30 papers between 2017 and 2024.

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Bibliography

2024
Learning Code Preference via Synthetic Evolution.
CoRR, 2024

Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning.
CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
CoRR, 2024

Token Alignment via Character Matching for Subword Completion.
CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.
CoRR, 2024

Fewer Truncations Improve Language Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CodeFort: Robust Training for Code Generation Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Token Alignment via Character Matching for Subword Completion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

A Static Evaluation of Code Completion by Large Language Models.
CoRR, 2023

Greener yet Powerful: Taming Large Code Generation Models with Quantization.
CoRR, 2023

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


ContraCLM: Contrastive Learning For Causal Language Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Static Evaluation of Code Completion by Large Language Models.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

ReCode: Robustness Evaluation of Code Generation Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Multi-lingual Evaluation of Code Generation Models.
CoRR, 2022

ContraGen: Effective Contrastive Learning For Causal Language Model.
CoRR, 2022

Debiasing Neural Retrieval via In-batch Balancing Regularization.
CoRR, 2022

Towards Differential Relational Privacy and its use in Question Answering.
CoRR, 2022

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
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CoRR, 2021

2020
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

2019
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data.
Proceedings of the World Wide Web Conference, 2019

TalkDown: A Corpus for Condescension Detection in Context.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Answering Complex Open-domain Questions Through Iterative Query Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
It's going to be okay: Measuring Access to Support in Online Communities.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Social work in the classroom? A tool to evaluate topical relevance in student writing.
Proceedings of the 10th International Conference on Educational Data Mining, 2017


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