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20242026
most citedDial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues

1 citations · 1 across the 13 of their papers we have counts for

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cs.CL2026

UXBench: Benchmarking User Experience in AI Assistants

Mengze Hong, Xia Zeng, Zeyang Lei +26

As AI assistants serve millions of users daily, evaluating user experience (UX) beyond general model capability has become increasingly important. We present UXBench, the first use…

cs.CL2026

Federated Heterogeneous Language Model Optimization for Hybrid Automatic Speech Recognition

Mengze Hong, Yi Gu, Di Jiang +4

Training automatic speech recognition (ASR) models increasingly relies on decentralized federated learning to ensure data privacy and accessibility, producing multiple local models…

cs.CL2026

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

Mengze Hong, Chen Jason Zhang, Zichang Guo +3

Customer service automation has seen growing demand within digital transformation. Existing approaches either rely on modular system designs with extensive agent orchestration or e…

cs.CL2026

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

Mengze Hong, Di Jiang, Jiangtao Wen +5

Hallucination is a major concern in LLM-driven service systems, necessitating explicit knowledge grounding for compliance-guaranteed responses. In this paper, we introduce Retrieva…

cs.SD2026

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

Mengze Hong, Di Jiang, Zeying Xie +3

As audio deepfakes transition from research artifacts to widely available commercial tools, robust biometric authentication faces pressing security threats in high-stakes industrie…