activity
20242026
most citedBeyond Turing Test: Can GPT-4 Sway Experts' Decisions?

2 citations · 3 across the 10 of their papers we have counts for

collaborators

11 papers

cs.AI2026

Upstream Influence, Downstream Re-Anchoring in LLM Agent Chains

Chun-Yu Hsu, Lun-Wei Ku, Chung-Chi Chen

People act on evaluative judgments produced by LLM agents, and in multi-agent systems those judgments pass through several agents before reaching a person. We show that a workflow'…

cs.AI2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.HC2025★ 1 cited

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…

cs.CL2024

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…

q-fin.ST2024

Distilling Analysis from Generative Models for Investment Decisions

Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +1

Professionals' decisions are the focus of every field. For example, politicians' decisions will influence the future of the country, and stock analysts' decisions will impact the m…

cs.CL2024

Hierarchical Organization Simulacra in the Investment Sector

Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +1

This paper explores designing artificial organizations with professional behavior in investments using a multi-agent simulation. The method mimics hierarchical decision-making in i…

cs.CL2024

Rehearsing Answers to Probable Questions with Perspective-Taking

Yung-Yu Shih, Ziwei Xu, Hiroya Takamura +2

Question answering (QA) has been a long-standing focus in the NLP field, predominantly addressing reading comprehension and common sense QA. However, scenarios involving the prepar…

cs.CE2024★ 2 cited

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…

cs.CL2024

FinGen: A Dataset for Argument Generation in Finance

Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +1

Thinking about the future is one of the important activities that people do in daily life. Futurists also pay a lot of effort into figuring out possible scenarios for the future. W…