Keqin Peng

Orcid: 0000-0002-5270-9439

According to our database1, Keqin Peng authored at least 11 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction.
CoRR, 2024

Revisiting Demonstration Selection Strategies in In-Context Learning.
CoRR, 2024

2023
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.
CoRR, 2023

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE.
CoRR, 2023

Towards Making the Most of ChatGPT for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Token-Level Self-Evolution Training for Sequence-to-Sequence Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Vega-MT: The JD Explore Academy Translation System for WMT22.
CoRR, 2022

Improving Neural Machine Translation by Denoising Training.
CoRR, 2022

Vega-MT: The JD Explore Academy Machine Translation System for WMT22.
Proceedings of the Seventh Conference on Machine Translation, 2022

2020
Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020


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