Improving Translation Quality Estimation with Bias Mitigation. - Hui Huang 021; Shuangzhi Wu; Kehai Chen; Hui Di; Muyun Yang; Tiejun Zhao (ACL (1), 2023)

Iterative Nearest Neighbour Machine Translation for Unsupervised Domain Adaptation. - Hui Huang 021; Shuangzhi Wu; Xinnian Liang; Zefan Zhou; Muyun Yang; Tiejun Zhao (ACL (Findings), 2023)

HIT-MI&T Lab's Submission to Eval4NLP 2023 Shared Task. - Rui Zhang; Fuhai Song; Hui Huang 021; Jinghao Yuan; Muyun Yang; Tiejun Zhao (Eval4NLP, 2023)

Towards Making the Most of LLM for Translation Quality Estimation. - Hui Huang 021; Shuangzhi Wu; Xinnian Liang; Bing Wang; Yanrui Shi; Peihao Wu; Muyun Yang; Tiejun Zhao (NLPCC (1), 2023)

Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models. - Xinnian Liang; Zefan Zhou; Hui Huang 021; Shuangzhi Wu; Tong Xiao; Muyun Yang; Zhoujun Li 001; Chao Bian 006 (CoRR, 2023)

Retrieval-Augmented Classification with Decoupled Representation. - Xinnian Liang; Shuangzhi Wu; Hui Huang 021; Jiaqi Bai; Chao Bian 006; Zhoujun Li 001 (CoRR, 2023)

Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System. - Xinnian Liang; Bing Wang; Hui Huang 021; Shuangzhi Wu; Peihao Wu; Lu Lu 015; Zejun Ma; Zhoujun Li 001 (CoRR, 2023)

Mitigating the Bias of Large Language Model Evaluation. - Hongli Zhou 001; Hui Huang 021; Yunfei Long; Bing Xu; Conghui Zhu; Hailong Cao; Muyun Yang; Tiejun Zhao (CCL, 2024)

Self-Evaluation of Large Language Model based on Glass-box Features. - Hui Huang 021; Yingqi Qu; Jing Liu; Muyun Yang; Bing Xu; Tiejun Zhao; Wenpeng Lu (EMNLP (Findings), 2024)

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Models are Task-specific Classifiers. - Hui Huang 021; Yingqi Qu; Jing Liu; Muyun Yang; Tiejun Zhao (CoRR, 2024)

Self-Evaluation of Large Language Model based on Glass-box Features. - Hui Huang 021; Yingqi Qu; Jing Liu; Muyun Yang; Tiejun Zhao (CoRR, 2024)

Legal Fact Prediction: Task Definition and Dataset Construction. - Junkai Liu; Yujie Tong; Hui Huang 021; Shuyuan Zheng; Muyun Yang; Peicheng Wu; Makoto Onizuka; Chuan Xiao 001 (CoRR, 2024)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Xuepeng Liu; et al. (CoRR, 2024)

Multi-view fusion for instruction mining of large language model. - Hui Huang 021; Bing Xu; Xinnian Liang; Kehai Chen; Muyun Yang; Tiejun Zhao; Conghui Zhu (Inf. Fusion, 2024)

Multi-view fusion for universal translation quality estimation. - Hui Huang 021; Shuangzhi Wu; Kehai Chen; Xinnian Liang; Hui Di; Muyun Yang; Tiejun Zhao (Inf. Fusion, 2024)

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 021; Xingyuan Bu; Hongli Zhou 001; Yingqi Qu; Jing Liu; Muyun Yang; Bing Xu; Tiejun Zhao (ACL (Findings), 2025)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Dekai Sun; et al. (ACL (1), 2025)

MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training. - Hui Huang 021; Jiaheng Liu; Yancheng He; Shilong Li; Bing Xu; Conghui Zhu; Muyun Yang; Tiejun Zhao (ACL (1), 2025)

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. - Shilong Li; Yancheng He; Hui Huang 021; Xingyuan Bu; Jiaheng Liu; Hangyu Guo; Weixun Wang; Jihao Gu; Wenbo Su; Bo Zheng 007 (NAACL (Findings), 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 021; Jiaheng Liu; Yucheng Wang; Chenchen Jing; Xingwei Qu; Xiao Zhang; et al. (NAACL (Long Papers), 2025)

AIR: Complex Instruction Generation via Automatic Iterative Refinement. - Wei Liu; Yancheng He; Hui Huang 021; Chengwei Hu; Jiaheng Liu; Shilong Li; Wenbo Su; Bo Zheng 007 (CoRR, 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 021; Jiaheng Liu; Yucheng Wang; Chenchen Jing; Xingwei Qu; Xiao Zhang; et al. (CoRR, 2025)

Think-J: Learning to Think for Generative LLM-as-a-Judge. - Hui Huang 021; Yancheng He; Hongli Zhou 001; Rui Zhang; Wei Liu; Weixun Wang; Wenbo Su; Bo Zheng 007; Jiaheng Liu (CoRR, 2025)

Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory. - Hongli Zhou 001; Hui Huang 021; Ziqing Zhao; Lvyuan Han; Huicheng Wang; Kehai Chen; Muyun Yang; Wei Bao; Jian Dong; Bing Xu; Conghui Zhu; Hailong Cao; et al. (CoRR, 2025)