Zhuang Li
Orcid: 0000-0002-9808-9992Affiliations:
- Royal Melbourne Institute of Technology (RMIT), Melbourne, VIC, Australia
- Monash University, Clayton, VIC, Australia (PhD 2023)
According to our database1,
Zhuang Li
authored at least 47 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
ACM Comput. Surv., June, 2025
DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement.
CoRR, June, 2025
TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis.
CoRR, May, 2025
EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions.
CoRR, May, 2025
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars.
CoRR, February, 2025
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
SurveyPilot: an Agentic Framework for Automated Human Opinion Collection from Social Media.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues.
CoRR, 2024
From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks?
CoRR, 2024
Bridging Law and Data: Augmenting Reasoning via a Semi-Structured Dataset with IRAC methodology.
CoRR, 2024
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking.
CoRR, 2024
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human.
CoRR, 2024
CoRR, 2024
SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations.
CoRR, 2024
GPTVoiceTasker: Advancing Multi-step Mobile Task Efficiency Through Dynamic Interface Exploration and Learning.
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024
Generative Dialogue Sentiment and Act Recognition with Feature Denoising and Set Prediction.
Proceedings of the Natural Language Processing and Chinese Computing, 2024
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Overview of the 2024 ALTA Shared Task: Detect Automatic AI-Generated Sentences for Human-AI Hybrid Articles.
Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association, 2024
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2016
Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016