Hongkun Hao

Orcid: 0009-0006-4270-8455

According to our database1, Hongkun Hao authored at least 13 papers between 2023 and 2024.

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

Timeline

2023
2024
0
5
10
4
1
6
2

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multiple-Choice Questions are Efficient and Robust LLM Evaluators.
CoRR, 2024

WavLLM: Towards Robust and Adaptive Speech Large Language Model.
CoRR, 2024

Is Cognition and Action Consistent or Not: Investigating Large Language Model's Personality.
CoRR, 2024

Boosting Large Language Model for Speech Synthesis: An Empirical Study.
CoRR, 2024

CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

G-Refine: A General Quality Refiner for Text-to-Image Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Improving Open-Ended Text Generation via Adaptive Decoding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Q-Refine: A Perceptual Quality Refiner for AI-Generated Image.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

WavLLM: Towards Robust and Adaptive Speech Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models.
CoRR, 2023

Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Rethinking Translation Memory Augmented Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023


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