Dayiheng Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
12
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Controllable LLM Reasoning via Sparse Autoencoder-Based Steering. | Yi Fang, Wenjie Wang, Mingfeng Xue, Boyi Deng, Fengli Xu, Dayiheng Liu, Fuli Feng |
| 2026 | ACL | MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation. | Xiaoyuan Li, Keqin Bao, Yubo Ma, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu |
| 2026 | ACL | HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs. | Ru Peng, Tianyu Zhao, Xijun Gu, Zhiting Fan, Haokai Xu, Jinyang Zhang, Yawen Zeng, Yihong Zhuang, Kexin Yang, Junyang Lin, Dayiheng Liu, Junbo Zhao |
| 2026 | ACL | PLAWBENCH: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice. | Yuzhen Shi, Huanghai Liu, Yiran Hu, Gaojie Song, Xinran Xu, Yubo Ma, Tianyi Tang, Li Zhang, Qingjing Chen, Di Feng, Wenbo Lv, Weiheng Wu, Kexin Yang, Sen Yang, Wei Wang, Rongyao Shi, Yuanyang Qiu, Yuemeng Qi, Jingwen Zhang, Xiaoyu Sui, Yifan Chen, Yi Zhang, An Yang, Bowen Yu, Dayiheng Liu, Junyang Lin, Weixing Shen, Bing Zhao, Charles L. A. Clarke, Hu Wei |
| 2025 | ACL | LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. | Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Tianyu Liu, Baobao Chang |
| 2025 | ACL | HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning. | Xiaoyuan Li, Moxin Li, Rui Men, Yichang Zhang, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu, Junyang Lin |
| 2025 | ACL | Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. | Zihan Qiu, Zeyu Huang, Bo Zheng, Kaiyue Wen, Zekun Wang, Rui Men, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin |
| 2025 | ACL | The Lessons of Developing Process Reward Models in Mathematical Reasoning. | Zhenru Zhang, Chujie Zheng, Yangzhen Wu, Beichen Zhang, Runji Lin, Bowen Yu, Dayiheng Liu, Jingren Zhou, Junyang Lin |
| 2025 | ACL | ProcessBench: Identifying Process Errors in Mathematical Reasoning. | Chujie Zheng, Zhenru Zhang, Beichen Zhang, Runji Lin, Keming Lu, Bowen Yu, Dayiheng Liu, Jingren Zhou, Junyang Lin |
| 2025 | EMNLP | START: Self-taught Reasoner with Tools. | Chengpeng Li, Mingfeng Xue, Zhenru Zhang, Jiaxi Yang, Beichen Zhang, Bowen Yu, Binyuan Hui, Junyang Lin, Xiang Wang, Dayiheng Liu |
| 2025 | EMNLP | P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs. | Yidan Zhang, Yu Wan, Boyi Deng, Baosong Yang, Haoran Wei, Fei Huang, Bowen Yu, Dayiheng Liu, Junyang Lin, Fei Huang, Jingren Zhou |
| 2025 | EMNLP | NOVA-63: Native Omni-lingual Versatile Assessments of 63 Disciplines. | Jinyang Zhang, Kexin Yang, Yu Wan, Muyang Ye, Baosong Yang, Fei Huang, Junyang Lin, Dayiheng Liu |
| 2025 | ICLR | DataMan: Data Manager for Pre-training Large Language Models. | Ru Peng, Kexin Yang, Yawen Zeng, Junyang Lin, Dayiheng Liu, Junbo Zhao |
| 2024 | AAAI | Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation. | Yuyan Chen, Yichen Yuan, Panjun Liu, Dayiheng Liu, Qinghao Guan, Mengfei Guo, Haiming Peng, Bang Liu, Zhixu Li, Yanghua Xiao |
| 2024 | ACL | How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. | Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou |
| 2024 | ACL | Rationales for Answers to Simple Math Word Problems Confuse Large Language Models. | Yidan Zhang, Mingfeng Xue, Dayiheng Liu, Zhenan He |
| 2024 | COLING | MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation. | Jianhui Pang, Baosong Yang, Derek F. Wong, Dayiheng Liu, Xiangpeng Wei, Jun Xie, Lidia S. Chao |
| 2024 | COLING | Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. | Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo |
| 2023 | ACL | Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation. | Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Mingfeng Xue, Boxing Chen, Jun Xie |
| 2023 | ACL | Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation. | Zhiwei Cao, Baosong Yang, Huan Lin, Suhang Wu, Xiangpeng Wei, Dayiheng Liu, Jun Xie, Min Zhang, Jinsong Su |
| 2023 | ACL | Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints. | Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Xiangpeng Wei, Zhengyuan Liu, Jun Xie |
| 2023 | CIKM | Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. | Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao |
| 2023 | EMNLP | Noisy Pair Corrector for Dense Retrieval. | Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo |
| 2023 | EMNLP | MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. | Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao |
| 2023 | EMNLP | Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. | Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Jie Fu, Jian Lan, Mei Li, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv |
| 2023 | EMNLP | Dynamic Voting for Efficient Reasoning in Large Language Models. | Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Xingzhang Ren, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv |
| 2022 | AAAI | KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. | Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su |
| 2022 | AAAI | Frequency-Aware Contrastive Learning for Neural Machine Translation. | Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao |
| 2022 | ACL | GCPG: A General Framework for Controllable Paraphrase Generation. | Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Haibo Zhang, Xue Zhao, Wenqing Yao, Boxing Chen |
| 2022 | ACL | UniTE: Unified Translation Evaluation. | Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, Lidia S. Chao |
| 2022 | ACL | Attention Mechanism with Energy-Friendly Operations. | Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao |
| 2022 | ACL | Unsupervised Preference-Aware Language Identification. | Xingzhang Ren, Baosong Yang, Dayiheng Liu, Haibo Zhang, Xiaoyu Lv, Liang Yao, Jun Xie |
| 2022 | EMNLP | Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? | Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie |
| 2022 | NAACL | Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation. | Huan Lin, Baosong Yang, Liang Yao, Dayiheng Liu, Haibo Zhang, Jun Xie, Min Zhang, Jinsong Su |
| 2022 | NAACL | Dangling-Aware Entity Alignment with Mixed High-Order Proximities. | Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen |
| 2022 | NAACL | Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. | Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi |
| 2022 | NAACL | Self-supervised Product Title Rewrite for Product Listing Ads. | Xue Zhao, Dayiheng Liu, Junwei Ding, Liang Yao, Mahone Yan, Huibo Wang, Wenqing Yao |
| 2021 | ACL | Towards User-Driven Neural Machine Translation. | Huan Lin, Liang Yao, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Degen Huang, Jinsong Su |
| 2021 | ACL | GLGE: A New General Language Generation Evaluation Benchmark. | Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan |
| 2021 | ACL | Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. | Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang, Jinsong Su |
| 2021 | ACL | POS-Constrained Parallel Decoding for Non-autoregressive Generation. | Kexin Yang, Wenqiang Lei, Dayiheng Liu, Weizhen Qi, Jiancheng Lv |
| 2021 | GECCO | Evolving transformer architecture for neural machine translation. | Ben Feng, Dayiheng Liu, Yanan Sun |
| 2021 | ICML | BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. | Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan |
| 2021 | IJCNN | AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation. | Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv |
| 2021 | NAACL | Mask Attention Networks: Rethinking and Strengthen Transformer. | Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang |
| 2020 | AAAI | Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. | Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv |
| 2020 | AAAI | Deep Poetry: A Chinese Classical Poetry Generation System. | Yusen Liu, Dayiheng Liu, Jiancheng Lv |
| 2020 | ACL | RikiNet: Reading Wikipedia Pages for Natural Question Answering. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | ACL | Let's be Humorous: Knowledge Enhanced Humor Generation. | Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo |
| 2020 | EMNLP | Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou |
| 2020 | EMNLP | Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. | Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | EMNLP | ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. | Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou |
| 2020 | ICONIP | Exploration on the Generation of Chinese Palindrome Poetry. | Liao Chen, Zhichen Lai, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang |
| 2020 | IJCNN | Generating Chinese Poetry from Images via Concrete and Abstract Information. | Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang |
| 2019 | ACL | TIGS: An Inference Algorithm for Text Infilling with Gradient Search. | Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv |
| 2018 | IJCNN | A Multi-Modal Chinese Poetry Generation Model. | Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv |
| 2018 | ISNN | Method to Improve the Performance of Restricted Boltzmann Machines. | Jing Yin, Qingyu Mao, Dayiheng Liu, Yong Xu, Jiancheng Lv |
| 2016 | IJCNN | A neural words encoding model. | Dayiheng Liu, Jian Cheng Lv, Xiaofeng Qi, Jiangshu Wei |