collaborators

5 papers

cs.CL2026

Disentangling Language Roles in Multilingual LLM Task Execution

Qishi Zhan, Minxuan Hu, Seoyeon Jang +7

Multilingual LLMs are increasingly used when instruction, source content, and required response languages do not coincide. Existing benchmarks have expanded multilingual instructio…

cs.CL2026

How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction

Yingjie He, Zhaolu Kang, Kehan Jiang +17

Large language models (LLMs) excel at semantic understanding, yet their ability to reconstruct internal structure from scrambled inputs remains underexplored. Sentence-level restor…

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…

eess.AS2025

Speech Recognition Model Improves Text-to-Speech Synthesis using Fine-Grained Reward

Guansu Wang, Peijie Sun

Recent advances in text-to-speech (TTS) have enabled models to clone arbitrary unseen speakers and synthesize high-quality, natural-sounding speech. However, evaluation methods lag…