Yuyang Ding

Orcid: 0009-0004-9986-4606

According to our database1, Yuyang Ding authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch.
CoRR, 2024

OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning.
CoRR, 2024

Rethinking Negative Instances for Generative Named Entity Recognition.
CoRR, 2024

CMD: a framework for Context-aware Model self-Detoxification.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Rethinking Negative Instances for Generative Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Mathematical Language Models: A Survey.
CoRR, 2023

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch.
CoRR, 2023

Detoxify Language Model Step-by-Step.
CoRR, 2023

Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study.
CoRR, 2023

2022
Rain Streak Removal From Light Field Images.
IEEE Trans. Circuits Syst. Video Technol., 2022

Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2019
Snow Removal From Light Field Images.
IEEE Access, 2019

ICTNET at TREC 2019 News Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019


  Loading...