8 papers
AgoraSim: A Hybrid Agent-Based Modeling Framework
Chung-Chi Chen
LLM-agent simulations make natural-language social scenarios easy to instantiate, but their outputs can be overread as predictions and are often difficult to compare with explicit…
Modeling Professionalism in Expert Questioning through Linguistic Differentiation
Giulia D'Agostino, Chung-Chi Chen
Professionalism is a crucial yet underexplored dimension of expert communication, particularly in high-stakes domains like finance. This paper investigates how linguistic features…
Decision-Oriented Text Evaluation
Yu-Shiang Huang, Chuan-Ju Wang, Chung-Chi Chen
Natural language generation (NLG) is increasingly deployed in high-stakes domains, yet common intrinsic evaluation methods, such as n-gram overlap or sentence plausibility, weakly…
The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Making
Takehiro Takayanagi, Ryuji Hashimoto, Chung-Chi Chen +1
In AI-assisted decision-making, it is crucial but challenging for humans to appropriately rely on AI, especially in high-stakes domains such as finance and healthcare. This paper a…
GADFA: Generator-Assisted Decision-Focused Approach for Opinion Expressing Timing Identification
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +2
The advancement of text generation models has granted us the capability to produce coherent and convincing text on demand. Yet, in real-life circumstances, individuals do not conti…
Beyond Turing Test: Can GPT-4 Sway Experts' Decisions?
Takehiro Takayanagi, Hiroya Takamura, Kiyoshi Izumi +1
In the post-Turing era, evaluating large language models (LLMs) involves assessing generated text based on readers' reactions rather than merely its indistinguishability from human…