Yilun Liu

According to our database, Yilun Liu authored at least 42 papers between 2022 and 2026.

Collaborative distances:

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

2026

C-Mining: Unsupervised Discovery of Seeds for Cultural Data Synthesis via Geometric Misalignment.

Pufan Zeng, Yilun Liu, Mingchen Dai, Mengyao Piao, Chunguang Zhao, Lingqi Miao, Shimin Tao, Weibin Meng, Minggui He, Chenxin Liu, Zhenzhen Qin, Li Zhang, Hongxia Ma, Boxing Chen, Daimeng Wei

CoRR, April, 2026

Chart Specification: Structural Representations for Incentivizing VLM Reasoning in Chart-to-Code Generation.

Minggui He, Mingchen Dai, Jian Zhang, Yilun Liu, Shimin Tao, Pufan Zeng, Osamu Yoshie, Yuya Ieiri

CoRR, February, 2026

The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models.

Yilun Liu, Chunguang Zhao, Mengyao Piao, Lingqi Miao, Shimin Tao, Minggui He, Chenxin Liu, Li Zhang, Hongxia Ma, Jiaxin Guo, Chen Liu, Liqun Deng, Jiansheng Wei, Xiaojun Meng, Fanyi Du, Daimeng Wei, Yanghua Xiao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction.

Yan Yu, Yilun Liu, Minggui He, Shimin Tao, Weibin Meng, Xinhua Yang, Li Zhang, Hongxia Ma, Dengye Li, Daimeng Wei, Boxing Chen, Fuliang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis.

Yilun Liu, Chunguang Zhao, Xinhua Yang, Hongyong Zeng, Shimin Tao, Weibin Meng, Minggui He, Yan Yu, Hongxia Ma, Li Zhang, Daimeng Wei, Boxing Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Measuring the Unmeasurable: Unveiling Latent Cognitive Capabilities of LLM.

Cui Danxin, Sihang Jiang, Keyi Wang, Zhiyi Duan, Yanghua Xiao, Bi Yude, Jiaqing Liang, Minggui He, Shimin Tao, Yilun Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LogEval: A comprehensive benchmark suite for LLMs in log analysis.

Tianyu Cui, Shiyu Ma, Ziang Chen, Tong Xiao, Chenyu Zhao, Shimin Tao, Yilun Liu, Shenglin Zhang, Duoming Lin, Changchang Liu, Yuzhe Cai, Weibin Meng, Yongqian Sun, Dan Pei

Empir. Softw. Eng., December, 2025

LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering.

Shenglin Zhang, Ziang Chen, Zijing Que, Yilun Liu, Yongqian Sun, Sicheng Wei, Dan Pei, Hailin Li

CoRR, November, 2025

R-Log: Incentivizing Log Analysis Capability in LLMs via Reasoning-based Reinforcement Learning.

Yilun Liu, Ziang Chen, Song Xu, Minggui He, Shimin Tao, Weibin Meng, Yuming Xie, Tao Han, Chunguang Zhao, Jingzhou Du, Daimeng Wei, Shenglin Zhang, Yongqian Sun

CoRR, September, 2025

A method for improving multilingual quality and diversity of instruction fine-tuning datasets.

Chunguang Zhao, Yilun Liu, Pufan Zeng, Yuanchang Luo, Shimin Tao, Minggui He, Weibin Meng, Song Xu, Ziang Chen, Chen Liu, Hongxia Ma, Li Zhang, Boxing Chen, Daimeng Wei

CoRR, September, 2025

RationAnomaly: Log Anomaly Detection with Rationality via Chain-of-Thought and Reinforcement Learning.

Song Xu, Yilun Liu, Minggui He, Mingchen Dai, Ziang Chen, Chunguang Zhao, Jingzhou Du, Shimin Tao, Weibin Meng, Shenglin Zhang, Yongqian Sun, Boxing Chen, Daimeng Wei

CoRR, September, 2025

ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction.

Yan Yu, Yilun Liu, Minggui He, Shimin Tao, Weibin Meng, Xinhua Yang, Li Zhang, Hongxia Ma, Chang Su, Hao Yang, Fuliang Li

CoRR, May, 2025

MIDB: Multilingual Instruction Data Booster for Enhancing Multilingual Instruction Synthesis.

Yilun Liu, Chunguang Zhao, Xinhua Yang, Hongyong Zeng, Shimin Tao, Weibin Meng, Minggui He, Chang Su, Yan Yu, Hongxia Ma, Li Zhang, Daimeng Wei, Hao Yang

CoRR, May, 2025

R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning.

Minggui He, Yilun Liu, Shimin Tao, Yuanchang Luo, Hongyong Zeng, Chang Su, Li Zhang, Hongxia Ma, Daimeng Wei, Weibin Meng, Hao Yang, Boxing Chen, Osamu Yoshie

CoRR, February, 2025

SuperFC: Selective Data Utilization for a Sustainable and Effective Function-Calling Agent.

Xinhua Yang, Yilun Liu, Shimin Tao, Chunguang Zhao, Weibin Meng, Minggui He, Chang Su, Rongrong Liu, Hongxia Ma, Li Zhang, Jingzhou Du, Duan Li, Jian Gao, Hao Yang, Boxing Chen, Chuanwen Li

Proceedings of the International Joint Conference on Neural Networks, 2025

LogLM: From Task-Based to Instruction-Based Automated Log Analysis.

Yilun Liu, Yuhe Ji, Shimin Tao, Minggui He, Weibin Meng, Shenglin Zhang, Yongqian Sun, Yuming Xie, Boxing Chen, Hao Yang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2025

Taming Text-to-Image Synthesis for Novices: User-centric Prompt Generation via Multi-turn Guidance.

Yilun Liu, Minggui He, Feiyu Yao, Yuhe Ji, Shimin Tao, Jingzhou Du, Justin Li, Jian Gao, Zhang Li, Hao Yang, Boxing Chen, Osamu Yoshie

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

Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge.

Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Shenglin Zhang, Yongqian Sun

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training.

Ce Zhou, Yilun Liu, Weibin Meng, Shimin Tao, Weinan Tian, Feiyu Yao, Xiaochun Li, Tao Han, Boxing Chen, Hao Yang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Multi-Source Log Parsing With Pre-Trained Domain Classifier.

Yilun Liu, Shimin Tao, Weibin Meng, Jingyu Wang, Hao Yang, Yanfei Jiang

IEEE Trans. Netw. Serv. Manag., June, 2024

Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge.

Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Hao Yang

CoRR, 2024

What Do You Want? User-centric Prompt Generation for Text-to-image Synthesis via Multi-turn Guidance.

Yilun Liu, Minggui He, Feiyu Yao, Yuhe Ji, Shimin Tao, Jingzhou Du, Duan Li, Jian Gao, Li Zhang, Hao Yang, Boxing Chen, Osamu Yoshie

CoRR, 2024

LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis.

Tianyu Cui, Shiyu Ma, Ziang Chen, Tong Xiao, Shimin Tao, Yilun Liu, Shenglin Zhang, Duoming Lin, Changchang Liu, Yuzhe Cai, Weibin Meng, Yongqian Sun, Dan Pei

CoRR, 2024

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation.

Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, Shimin Tao, Xiaofeng Zhao, Hongxia Ma, Li Zhang, Hao Yang, Tong Xiao

CoRR, 2024

HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task.

Xiaofeng Zhao, Xiaosong Qiao, Kaiwen Ou, Min Zhang, Chang Su, Mengyao Piao, Yuang Li, Yinglu Li, Ming Zhu, Yilun Liu

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies.

Yilun Liu, Shimin Tao, Weibin Meng, Jingyu Wang, Wenbing Ma, Yuhang Chen, Yanqing Zhao, Hao Yang, Yanfei Jiang

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation.

Haofei Zhao, Yilun Liu, Shimin Tao, Weibin Meng, Yimeng Chen, Xiang Geng, Chang Su, Min Zhang, Hao Yang

Proceedings of the International Joint Conference on Neural Networks, 2024

LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis.

Yilun Liu, Shimin Tao, Weibin Meng, Feiyu Yao, Xiaofeng Zhao, Hao Yang

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning.

Yilun Liu, Shimin Tao, Xiaofeng Zhao, Ming Zhu, Wenbing Ma, Junhao Zhu, Chang Su, Yutai Hou, Miao Zhang, Min Zhang, Hongxia Ma, Li Zhang, Hao Yang, Yanfei Jiang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation.

Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, Shimin Tao, Xiaofeng Zhao, Mahong Xia, Zhang Li, Boxing Chen, Hao Yang, Bei Li, Tong Xiao, JingBo Zhu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Automatic Instruction Optimization for Open-source LLM Instruction Tuning.

Yilun Liu, Shimin Tao, Xiaofeng Zhao, Ming Zhu, Wenbing Ma, Junhao Zhu, Chang Su, Yutai Hou, Miao Zhang, Min Zhang, Hongxia Ma, Li Zhang, Hao Yang, Yanfei Jiang

CoRR, 2023

LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis.

Yilun Liu, Shimin Tao, Weibin Meng, Jingyu Wang, Wenbing Ma, Yanqing Zhao, Yuhang Chen, Hao Yang, Yanfei Jiang, Xun Chen

CoRR, 2023

Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSC's Submission to the WMT23 Metrics Shared Task.

Zhanglin Wu, Yilun Liu, Min Zhang, Xiaofeng Zhao, Junhao Zhu, Ming Zhu, Xiaosong Qiao, Jingfei Zhang, Miaomiao Ma, Yanqing Zhao, Song Peng, Shimin Tao, Hao Yang, Yanfei Jiang

Proceedings of the Eighth Conference on Machine Translation, 2023

HW-TSC at SemEval-2023 Task 7: Exploring the Natural Language Inference Capabilities of ChatGPT and Pre-trained Language Model for Clinical Trial.

Xiaofeng Zhao, Min Zhang, Miaomiao Ma, Chang Su, Yilun Liu, Minghan Wang, Xiaosong Qiao, Jiaxin Guo, Yinglu Li, Wenbing Ma

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Biglog: Unsupervised Large-scale Pre-training for a Unified Log Representation.

Shimin Tao, Yilun Liu, Weibin Meng, Zuomin Ren, Hao Yang, Xun Chen, Liang Zhang, Yuming Xie, Chang Su, Xiaosong Oiao, Weinan Tian, Yichen Zhu, Tao Han, Ying Qin, Yun Li

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

DA-Parser: A Pre-trained Domain-aware Parsing Framework for Heterogeneous Log Analysis.

Shimin Tao, Yilun Liu, Weibin Meng, Jingyu Wang, Yanqing Zhao, Chang Su, Weinan Tian, Min Zhang, Hao Yang, Xun Chen

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Incorporating Pinyin into Pipeline Named Entity Recognition from Chinese Speech.

Min Zhang, Xiaosong Qiao, Yanqing Zhao, Chang Su, Yinglu Li, Ming Zhu, Junhao Zhu, Yuang Li, Xiaofeng Zhao, Yilun Liu, Wenbing Ma, Mengyao Piao, Jiawei Yu, Xinglin Lv, Song Peng, Shimin Tao, Hao Yang, Yanfei Jiang

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

Partial Could Be Better than Whole. HW-TSC 2022 Submission for the Metrics Shared Task.

Yilun Liu, Xiaosong Qiao, Zhanglin Wu, Chang Su, Min Zhang, Yanqing Zhao, Song Peng, Shimin Tao, Hao Yang, Ying Qin, Jiaxin Guo, Minghan Wang, Yinglu Li, Peng Li, Xiaofeng Zhao

Proceedings of the Seventh Conference on Machine Translation, 2022

Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics.

Yilun Liu, Shimin Tao, Chang Su, Min Zhang, Yanqing Zhao, Hao Yang

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Target-Side Language Model for Reference-Free Machine Translation Evaluation.

Min Zhang, Xiaosong Qiao, Hao Yang, Shimin Tao, Yanqing Zhao, Yinlu Li, Chang Su, Minghan Wang, Jiaxin Guo, Yilun Liu, Ying Qin

Proceedings of the Machine Translation - 18th China Conference, 2022

Incorporating Multilingual Knowledge Distillation into Machine Translation Evaluation.

Min Zhang, Hao Yang, Shimin Tao, Yanqing Zhao, Xiaosong Qiao, Yinlu Li, Chang Su, Minghan Wang, Jiaxin Guo, Yilun Liu, Ying Qin

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

HwTscSU's Submissions on WAT 2022 Shared Task.

Yilun Liu, Zhen Zhang, Shimin Tao, Junhui Li, Hao Yang

Proceedings of the 9th Workshop on Asian Translation, 2022