4 citations · 4 across the 10 of their papers we have counts for
11 papers
SPAM: Style Prompt Adherence Metric for Prompt-based TTS
Chanhee Cho, Nayeon Kim, Bugeun Kim
Prompt-based text-to-speech (TTS) aims to generate speech that adheres to fine-grained style cues provided in a text prompt. However, most prior works depend on neither plausible n…
Belief in Authority: Impact of Authority in Multi-Agent Evaluation Framework
Junhyuk Choi, Jeongyoun Kwon, Heeju Kim +4
Multi-agent systems utilizing large language models often assign authoritative roles to improve performance, yet the impact of authority bias on agent interactions remains underexp…
Acoustic-based Gender Differentiation in Speech-aware Language Models
Junhyuk Choi, Jihwan Seol, Nayeon Kim +3
Speech-aware Language Models (SpeechLMs) have fundamentally transformed human-AI interaction by enabling voice-based communication, yet they may exhibit acoustic-based gender diffe…
VoiceBBQ: Investigating Effect of Content and Acoustics in Social Bias of Spoken Language Model
Junhyuk Choi, Ro-hoon Oh, Jihwan Seol +1
We introduce VoiceBBQ, a spoken extension of the BBQ (Bias Benchmark for Question Answering) - a dataset that measures social bias by presenting ambiguous or disambiguated contexts…
Pay What LLM Wants: Can LLM Simulate Economics Experiment with 522 Real-human Persona?
Junhyuk Choi, Hyeonchu Park, Haemin Lee +3
Recent advances in Large Language Models (LLMs) have generated significant interest in their capacity to simulate human-like behaviors, yet most studies rely on fictional personas…
Can LLMs and humans be friends? Uncovering factors affecting human-AI intimacy formation
Yeseon Hong, Junhyuk Choi, Minju Kim +1
Large language models (LLMs) are increasingly being used in conversational roles, yet little is known about how intimacy emerges in human-LLM interactions. Although previous work e…