Mengze Hong

According to our database, Mengze Hong authored at least 27 papers between 2023 and 2026.

Collaborative distances:

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

2026

Federated Heterogeneous Language Model Optimization for Hybrid Automatic Speech Recognition.

Mengze Hong, Yi Gu, Di Jiang, Hanlin Gu, Chen Jason Zhang, Lu Wang, Zhiyang Su

CoRR, March, 2026

CiteLLM: An Agentic Platform for Trustworthy Scientific Reference Discovery.

Mengze Hong, Di Jiang, Chen Jason Zhang, Zichang Guo, Yawen Li, Jun Chen, Shaobo Cui, Zhiyang Su

CoRR, February, 2026

Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework.

Mengze Hong, Chen Jason Zhang, Zichang Guo, Hanlin Gu, Di Jiang, Qing Liao

CoRR, February, 2026

RAL2M: Retrieval Augmented Learning-To-Match Against Hallucination in Compliance-Guaranteed Service Systems.

Mengze Hong, Di Jiang, Jiangtao Wen, Zhiyang Su, Yawen Li, Yanjie Sun, Guan Wang, Chen Jason Zhang

CoRR, January, 2026

Vulnerabilities of Audio-Based Biometric Authentication Systems Against Deepfake Speech Synthesis.

Mengze Hong, Di Jiang, Zeying Xie, Weiwei Zhao, Guan Wang, Chen Jason Zhang

CoRR, January, 2026

Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework.

Mengze Hong, Chen Jason Zhang, Zichang Guo, Hanlin Gu, Di Jiang, Qing Li

Proceedings of the ACM Web Conference 2026, 2026

Multimodal Peer Review Simulation with Actionable To-Do Recommendations for Community-Aware Manuscript Revisions.

Mengze Hong, Di Jiang, Weiwei Zhao, Yawen Li, Yihang Wang, Xinyuan Luo, Yanjie Sun, Chen Jason Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

CiteLLM: An Agentic Platform for Trustworthy Scientific Reference Discovery.

Mengze Hong, Di Jiang, Chen Jason Zhang, Zichang Guo, Yawen Li, Jun Chen, Shaobo Cui, Zhiyang Su

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

How Learners Engage with an LLM-Based Pedagogical Conversational Agent During Music Form Analysis.

Lingxi Jin, Kyuwon Kim, Baicheng Lin, Mengze Hong, Hyo-Jeong So

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Contextualized Token Discrimination for Speech Search Query Correction.

Junyu Lu, Di Jiang, Mengze Hong, Victor Junqiu Wei, Qintian Guo, Zhiyang Su

CoRR, September, 2025

Semantic-Augmented Latent Topic Modeling with LLM-in-the-Loop.

Mengze Hong, Chen Jason Zhang, Di Jiang

CoRR, July, 2025

Technical Report: A Practical Guide to Kaldi ASR Optimization.

Mengze Hong, Di Jiang

CoRR, June, 2025

Exploring the Impact of an LLM-Powered Teachable Agent on Learning Gains and Cognitive Load in Music Education.

Lingxi Jin, Baicheng Lin, Mengze Hong, Kun Zhang, Hyo-Jeong So

CoRR, April, 2025

Dialogue Language Model with Large-Scale Persona Data Engineering.

Mengze Hong, Chen Jason Zhang, Chaotao Chen, Rongzhong Lian, Di Jiang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Augmenting Compliance-Guaranteed Customer Service Chatbots: Context-Aware Knowledge Expansion with Large Language Models.

Mengze Hong, Chen Jason Zhang, Di Jiang, Yuanqin He

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

Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues.

Mengze Hong, Wailing Ng, Chen Jason Zhang, Yuanfeng Song, Di Jiang

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

QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation.

Mengze Hong, Wailing Ng, Chen Jason Zhang, Di Jiang

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

Learning by Teaching: Enhancing Music Learning Through LLM-Based Teachable Agents.

Lingxi Jin, Baicheng Lin, Mengze Hong, Hyo-Jeong So, Kun Zhang

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Dial-In LLM: Human-Aligned Dialogue Intent Clustering with LLM-in-the-loop.

Mengze Hong, Yuanfeng Song, Di Jiang, Wailing Ng, Yanjie Sun, Chen Jason Zhang

CoRR, 2024

Deconfounding Time Series Forecasting.

Wentao Gao, Feiyu Yang, Mengze Hong, Xiaojing Du, Zechen Hu, Xiongren Chen, Ziqi Xu

CoRR, 2024

Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models.

Mengze Hong, Yuanfeng Song, Di Jiang, Lu Wang, Zichang Guo, Chen Jason Zhang

CoRR, 2024

Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing.

Mengze Hong, Di Jiang, Yuanfeng Song, Chen Jason Zhang

CoRR, 2024

Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting.

Longyu Feng, Mengze Hong, Chen Jason Zhang

CoRR, 2024

Pairwise Judgment Formulation for Semantic Embedding Model in Web Search.

Mengze Hong, Chen Jason Zhang

CoRR, 2024

InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries.

Mengze Hong, Chen Jason Zhang, Lingxiao Yang, Yuanfeng Song, Di Jiang

Proceedings of the Asian Conference on Machine Learning, 2024

2023

A Comparative Study of LSTM, LightGBM, and Autoregressive Model in Narrow-Based ETF Market Prediction with Multi-Ticker Models.

Mengze Hong, Zhiyuan Chen, Waleed Mahmoud Soliman, Kun Zhang

Proceedings of the 6th International Conference on Machine Learning and Machine Intelligence, 2023

Novel Domain-Knowledge Based Feature Selection Framework for Price Prediction: Comprehensive Modelling in Sailboat Market.

Mengze Hong, Kun Zhang

Proceedings of the 7th International Conference on Computing and Data Analysis, 2023