Zhuang Li

Orcid: 0000-0002-9808-9992

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Natural Language Processing for Dialects of a Language: A Survey.
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

CultureInstruct: Curating Multi-Cultural Instructions at Scale.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews.
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

On the Reliability of Large Language Models for Causal Discovery.
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

Towards Detecting AI-Generated Text within Human-AI Collaborative Hybrid Texts.
CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.
CoRR, 2024

SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations.
CoRR, 2024

GPTVoiceTasker: LLM-Powered Virtual Assistant for Smartphone.
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

Let's Negotiate! A Survey of Negotiation Dialogue Systems.
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
Voicify Your UI: Towards Android App Control with Voice Commands.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023

Semantic Parsing in Limited Resource Conditions.
CoRR, 2023

SocialDial: A Benchmark for Socially-Aware Dialogue Systems.
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

Active Learning for Multilingual Semantic Parser.
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

FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Let's Negotiate! A Survey of Negotiation Dialogue Systems.
CoRR, 2022

Pretrained Language Model in Continual Learning: A Comparative Study.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Paraphrasing Techniques for Maritime QA system.
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
Representation Learning for Weakly Supervised Relation Extraction.
CoRR, 2021

Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Few-Shot Semantic Parsing for New Predicates.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

On Robustness of Neural Semantic Parsers.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Context Dependent Semantic Parsing: A Survey.
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


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