Yilun Liu

Orcid: 0009-0002-2531-7728

Affiliations:
  • Huawei, China


According to our database1, Yilun Liu authored at least 23 papers between 2022 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Multi-Source Log Parsing With Pre-Trained Domain Classifier.
IEEE Trans. Netw. Serv. Manag., June, 2024

LogLM: From Task-based to Instruction-based Automated Log Analysis.
CoRR, 2024

LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis.
CoRR, 2024

From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation.
CoRR, 2024

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation.
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.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies.
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.
Proceedings of the International Joint Conference on Neural Networks, 2024

LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis.
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.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Automatic Instruction Optimization for Open-source LLM Instruction Tuning.
CoRR, 2023

LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis.
CoRR, 2023

Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSC's Submission to the WMT23 Metrics Shared Task.
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.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Biglog: Unsupervised Large-scale Pre-training for a Unified Log Representation.
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.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Incorporating Pinyin into Pipeline Named Entity Recognition from Chinese Speech.
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.
Proceedings of the Seventh Conference on Machine Translation, 2022

Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Target-Side Language Model for Reference-Free Machine Translation Evaluation.
Proceedings of the Machine Translation - 18th China Conference, 2022

Incorporating Multilingual Knowledge Distillation into Machine Translation Evaluation.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

HwTscSU's Submissions on WAT 2022 Shared Task.
Proceedings of the 9th Workshop on Asian Translation, 2022


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