4 citations · 5 across the 12 of their papers we have counts for
12 papers
Stride-k Subsampling: Train-Free Audio Token Reduction for Whisper
Chanhee Cho, Junhyuk Choi, Bugeun Kim
Whisper exposes speech through a fixed 1500-token encoder interface, now a default representation for ASR decoders and Whisper-based speech language models (SpeechLMs), yet its red…
Framing Matters: Addressing Framing Sensitivity in Decision-Making through Behaviorally-Grounded Value Alignment
Seojin Hwang, Minju Kim, Junhyuk Choi +2
Large Language Models (LLMs) are increasingly deployed in high-stakes decision-making settings such as legal reasoning, where consistency under factually equivalent inputs is criti…
Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory
Junhyuk Choi, Sohhyung Park, Chanhee Cho +2
While LLM-as-a-Judge is widely used in automated evaluation, existing validation practices primarily operate at the level of observed outputs, offering limited insight into whether…
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…
Identifying and Mitigating Bottlenecks in Role-Playing Agents: A Systematic Study of Disentangling Character Profile Axes
Yonghyun Jun, Junhyuk Choi, Jeonghyun Park +3
While Large Language Model (LLM) role-playing agents have advanced rapidly, it remains unclear which profile elements genuinely drive role-playing quality. To bridge this gap, we i…
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…
MATE: Diagnosing Empathy Calibration Failures in Multi-Turn Human-LLM Interaction
Yeseon Hong, Junhyuk Choi, Minju Kim +1
Large language models are increasingly used in emotionally consequential interactions. Response-level evaluation, however, struggles to diagnose how empathy fails across turns. We…
A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models
Junhyuk Choi, Minju Kim, Yeseon Hong +1
As large vision language models(LVLMs) rapidly advance, concerns about their potential to learn and generate social biases and stereotypes are increasing. Previous studies on LVLM'…
Examining Identity Drift in Conversations of LLM Agents
Junhyuk Choi, Yeseon Hong, Minju Kim +1
Large Language Models (LLMs) show impressive conversational abilities but sometimes show identity drift problems, where their interaction patterns or styles change over time. As th…
People will agree what I think: Investigating LLM's False Consensus Effect
Junhyuk Choi, Yeseon Hong, Bugeun Kim
Large Language Models (LLMs) have been recently adopted in interactive systems requiring communication. As the false belief in a model can harm the usability of such systems, LLMs…