Zhuoer Wang

Orcid: 0009-0007-6134-0630

According to our database1, Zhuoer Wang authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Style Transfer: From Stitching to Neural Networks.
CoRR, 2024

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback.
CoRR, 2024

DHP Benchmark: Are LLMs Good NLG Evaluators?
CoRR, 2024

FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.
CoRR, 2023

Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Designing Interactive Games based on Intangible Cultural Heritage: A Case Study on Chinese Nuo Culture.
Proceedings of the Eleventh International Symposium of Chinese CHI, 2023

Faithful Low-Resource Data-to-Text Generation through Cycle Training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
RES: An Interpretable Replicability Estimation System for Research Publications.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models.
CoRR, 2021

Cassava Disease Detection Method Based on EfficientNet.
Proceedings of the 7th International Conference on Systems and Informatics, 2021

2020
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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