6 papers
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…
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…
QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation
Mengze Hong, Wailing Ng, Chen Jason Zhang +1
The rapid advancement of Chinese LLMs underscores the need for vertical-domain evaluations to ensure reliable applications. However, existing benchmarks often lack domain coverage…
Enhancing Generalization in Chain of Thought Reasoning for Smaller Models
Maxwell J. Yin, Dingyi Jiang, Yongbing Chen +2
Chain-of-Thought (CoT) reasoning in smaller language models is a challenging natural language process problem yet highly desirable in many real-life applications. Existing CoT know…
ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction
Victor Junqiu Wei, Weicheng Wang, Di Jiang +2
Automatic speech Recognition (ASR) is a fundamental and important task in the field of speech and natural language processing. It is an inherent building block in many applications…
Dialogue Language Model with Large-Scale Persona Data Engineering
Mengze Hong, Chen Jason Zhang, Chaotao Chen +2
Maintaining persona consistency is paramount in the application of open-domain dialogue systems, as exemplified by models like ChatGPT. Despite significant advancements, the limite…