Runzhe Zhan

Orcid: 0000-0002-3175-6885

According to our database1, Runzhe Zhan authored at least 22 papers between 2021 and 2025.

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

Timeline

2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Dynamic curriculum learning for conversation response selection.
Knowl. Based Syst., 2024

VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning.
CoRR, 2024

Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model.
CoRR, 2024

NovelTrans: System for WMT24 Discourse-Level Literary Translation.
Proceedings of the Ninth Conference on Machine Translation, 2024

Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Activate Integrated Controllable Generation with Soft Prompt.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Obscurity-Quantified Curriculum Learning for Machine Translation Evaluation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Multi-Level Curriculum Learning for Multi-Turn Dialogue Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions.
CoRR, 2023

Human-in-the-loop Machine Translation with Large Language Model.
CoRR, 2023

Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TransGEC: Improving Grammatical Error Correction with Translationese.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021
Variance-Aware Machine Translation Test Sets.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Difficulty-Aware Machine Translation Evaluation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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