Mengze Hong

According to our database, Mengze Hong authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

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

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

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

CoRR, May, 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

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