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Hung-yi Lee

6 papers hereh-index 598 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • eess.AS2
same name
  • Hung-yi Lee — 44 papers, h 11
  • Hung-yi Lee — 13 papers, h 6
  • Hung-yi Lee — 13 papers, h 7
  • Hung-yi Lee — 13 papers, h 8
  • Hung-yi Lee — 12 papers, h 4
  • Hung-yi Lee — 12 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

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

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

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 maint…

cs.CL2026

STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models

Cheng-Han Chiang, Xiaofei Wang, Linjie Li +7

Spoken Language Models (SLMs) are designed to take speech inputs and produce spoken responses. However, current SLMs lack the ability to perform an internal, unspoken thinking proc…

cs.CL2025

SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models

Cheng-Han Chiang, Xiaofei Wang, Linjie Li +7

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 i…

cs.CL2025

TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge

Cheng-Han Chiang, Hung-yi Lee, Michal Lukasik

The LLM-as-a-judge paradigm uses large language models (LLMs) for automated text evaluation, where a numerical assessment is assigned by an LLM to the input text following scoring…

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