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Cheng-Han Chiang

ACL 2026×2ICLR 2026推理多模态效率与系统智能体与工具评测与基准
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2 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
一作ACL 2026Poster· Natural Language Processing

Shanks: Simultaneous Hearing and Thinking for Spoken Language Models

Cheng-Han Chiang · Xiaofei Wang · Linjie Li · Chung-Ching Lin · Kevin Lin · Shujie LIU · Zhendong Wang · Zhengyuan Yang · Hung-yi Lee · Lijuan Wang

摘要

Current large language models (LLMs) and spoken language models (SLMs) begin thinking and taking actions only after the user has finished their turn. This prevents the model from interacting with the user during the user’s turn and can lead to high response latency when the model is thinking. To...

推理效率与系统智能体与工具OpenReview 项目页
作者位次 #2/3ACL 2026Findings· Findings of ACL

Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models

Yu-Xiang Lin · Cheng-Han Chiang · Hung-yi Lee

摘要

In this paper, we show that when spoken language models (SLMs) are instructed to speak in a specific speaking style at the beginning of a multi-turn conversation, they cannot maintain the required speaking styles after several turns of interaction; we refer to this as the style amnesia of SLMs. W...

评测与基准代码多语言与语言学OpenReview 项目页

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