Hui Huang

According to our database, Hui Huang authored at least 34 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Cases LJP Never Sees: Prosecution Decision Prediction for More Complete Criminal Liability Assessment.

Junyu Lu, Qi Wei, Peishuo Zheng, Jie Zhang, Hui Huang, Qianru Wang, Chuan Xiao, Jianbin Qin, Shuyuan Zheng

CoRR, May, 2026

Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization.

Hongli Zhou, Hui Huang, Rui Zhang, Kehai Chen, Bing Xu, Conghui Zhu, Tiejun Zhao, Muyun Yang

CoRR, March, 2026

RM-Distiller: Exploiting Generative LLM for Reward Model Distillation.

Hongli Zhou, Hui Huang, Wei Liu, Chenglong Wang, Xingyuan Bu, Lvyuan Han, Fuhai Song, Muyun Yang, Wenhao Jiang, Hailong Cao, Tiejun Zhao

CoRR, January, 2026

Reasoning Model Is Superior LLM-Judge, Yet Suffers from Biases.

Hui Huang, Xuanxin Wu, Muyun Yang, Yuki Arase

CoRR, January, 2026

DiVA: Fine-grained Factuality Verification with Agentic-Discriminative Verifier.

Hui Huang, Muyun Yang, Yuki Arase

CoRR, January, 2026

Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory.

Hongli Zhou, Hui Huang, Ziqing Zhao, Lvyuan Han, Huicheng Wang, Kehai Chen, Muyun Yang, Wei Bao, Jian Dong, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Think-J: Learning to Think for Generative LLM-as-a-Judge.

Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Jiaheng Liu, Wenbo Su

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Long-form RewardBench: Evaluating Reward Models for Long-form Generation.

Hui Huang, Yancheng He, Wei Liu, Muyun Yang, Jiaheng Liu, Kehai Chen, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Think-J: Learning to Think for Generative LLM-as-a-Judge.

Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Wenbo Su, Bo Zheng, Jiaheng Liu

CoRR, May, 2025

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.

Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Yingshui Tan, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu

CoRR, April, 2025

AIR: Complex Instruction Generation via Automatic Iterative Refinement.

Wei Liu, Yancheng He, Hui Huang, Chengwei Hu, Jiaheng Liu, Shilong Li, Wenbo Su, Bo Zheng

CoRR, February, 2025

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.

Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Pei Wang, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision.

Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Legal Fact Prediction: The Missing Piece in Legal Judgment Prediction.

Junkai Liu, Yujie Tong, Hui Huang, Bowen Zheng, Yiran Hu, Peicheng Wu, Chuan Xiao, Makoto Onizuka, Muyun Yang, Shuyuan Zheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

AIR: Complex Instruction Generation via Automatic Iterative Refinement.

Wei Liu, Yancheng He, Yu Li, Hui Huang, Chengwei Hu, Jiaheng Liu, Shilong Li, Wenbo Su, Bo Zheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SCM: Enhancing Large Language Model with Self-Controlled Memory Framework.

Bing Wang, Xinnian Liang, Jian Yang, Hui Huang, Zhenhe Wu, Shuangzhi Wu, Zejun Ma, Zhoujun Li

Proceedings of the Database Systems for Advanced Applications, 2025

MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training.

Hui Huang, Jiaheng Liu, Yancheng He, Shilong Li, Bing Xu, Conghui Zhu, Muyun Yang, Tiejun Zhao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.

Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Dekai Sun, Zhicheng Zheng, Wenbo Su, Bo Zheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4.

Hui Huang, Xingyuan Bu, Hongli Zhou, Yingqi Qu, Jing Liu, Muyun Yang, Bing Xu, Tiejun Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Multi-view fusion for universal translation quality estimation.

Hui Huang, Shuangzhi Wu, Kehai Chen, Xinnian Liang, Hui Di, Muyun Yang, Tiejun Zhao

Inf. Fusion, February, 2024

Multi-view fusion for instruction mining of large language model.

Hui Huang, Bing Xu, Xinnian Liang, Kehai Chen, Muyun Yang, Tiejun Zhao, Conghui Zhu

Inf. Fusion, 2024

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.

Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Xuepeng Liu, Dekai Sun, Shirong Lin, Zhicheng Zheng, Xiaoyong Zhu, Wenbo Su, Bo Zheng

CoRR, 2024

Legal Fact Prediction: Task Definition and Dataset Construction.

Junkai Liu, Yujie Tong, Hui Huang, Shuyuan Zheng, Muyun Yang, Peicheng Wu, Makoto Onizuka, Chuan Xiao

CoRR, 2024

Self-Evaluation of Large Language Model based on Glass-box Features.

Hui Huang, Yingqi Qu, Jing Liu, Muyun Yang, Tiejun Zhao

CoRR, 2024

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Models are Task-specific Classifiers.

Hui Huang, Yingqi Qu, Jing Liu, Muyun Yang, Tiejun Zhao

CoRR, 2024

Self-Evaluation of Large Language Model based on Glass-box Features.

Hui Huang, Yingqi Qu, Jing Liu, Muyun Yang, Bing Xu, Tiejun Zhao, Wenpeng Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mitigating the Bias of Large Language Model Evaluation.

Hongli Zhou, Hui Huang, Yunfei Long, Bing Xu, Conghui Zhu, Hailong Cao, Muyun Yang, Tiejun Zhao

Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024

2023

Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System.

Xinnian Liang, Bing Wang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, Zhoujun Li

CoRR, 2023

Retrieval-Augmented Classification with Decoupled Representation.

Xinnian Liang, Shuangzhi Wu, Hui Huang, Jiaqi Bai, Chao Bian, Zhoujun Li

CoRR, 2023

Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models.

Xinnian Liang, Zefan Zhou, Hui Huang, Shuangzhi Wu, Tong Xiao, Muyun Yang, Zhoujun Li, Chao Bian

CoRR, 2023

Towards Making the Most of LLM for Translation Quality Estimation.

Hui Huang, Shuangzhi Wu, Xinnian Liang, Bing Wang, Yanrui Shi, Peihao Wu, Muyun Yang, Tiejun Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2023

HIT-MI&T Lab's Submission to Eval4NLP 2023 Shared Task.

Rui Zhang, Fuhai Song, Hui Huang, Jinghao Yuan, Muyun Yang, Tiejun Zhao

Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 2023

Iterative Nearest Neighbour Machine Translation for Unsupervised Domain Adaptation.

Hui Huang, Shuangzhi Wu, Xinnian Liang, Zefan Zhou, Muyun Yang, Tiejun Zhao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Improving Translation Quality Estimation with Bias Mitigation.

Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang, Tiejun Zhao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023