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cs.CL2025

MAPEX: A Multi-Agent Pipeline for Keyphrase Extraction

Liting Zhang, Shiwan Zhao, Aobo Kong +1

Keyphrase extraction is a fundamental task in natural language processing. However, existing unsupervised prompt-based methods for Large Language Models (LLMs) often rely on single…

cs.CL2025

RealTalk-CN: A Realistic Chinese Speech-Text Dialogue Benchmark With Cross-Modal Interaction Analysis

Enzhi Wang, Qicheng Li, Shiwan Zhao +6

In recent years, large language models (LLMs) have achieved remarkable advancements in multimodal processing, including end-to-end speech-based language models that enable natural…

cs.CL2025

CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition

Jiaming Zhou, Yujie Guo, Shiwan Zhao +9

Code-switching (CS), the alternation between two or more languages within a single conversation, presents significant challenges for automatic speech recognition (ASR) systems. Exi…

cs.CL2024

Self-Prompt Tuning: Enable Autonomous Role-Playing in LLMs

Aobo Kong, Shiwan Zhao, Hao Chen +6

Recent advancements in LLMs have showcased their remarkable role-playing capabilities, able to accurately simulate the dialogue styles and cognitive processes of various roles base…

cs.CL2024

Better Zero-Shot Reasoning with Role-Play Prompting

Aobo Kong, Shiwan Zhao, Hao Chen +6

Modern large language models (LLMs) exhibit a remarkable capacity for role-playing, enabling them to embody not only human characters but also non-human entities. This versatility…