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Ming-Bin Chen

AwardACL 2026×2评测与基准可解释性检索与知识社会与人本数据与预训练
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1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 2026OralOutstanding Paper· Natural Language Processing

CIG : Measuring Conversational Information Gain in Deliberative Dialogues with Semantic Memory Dynamics

Ming-Bin Chen · Jey Han Lau · Lea Frermann

摘要

Measuring the quality of public deliberation requires evaluating not only civility or argument structure, but also the informational progress of a conversation. We introduce a framework for Conversational Information Gain (CIG) that evaluates each utterance in terms of how it advances collective...

评测与基准可解释性检索与知识OpenReview 项目页
作者位次 #18/25ACL 2026Findings· Findings of ACL

Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection

Zhiwei Liu · Yupeng Cao · Yuechen Jiang · Mohsinul Kabir · Polydoros Giannouris · Chen Xu · Ziyang Xu · Tianlei Zhu · Md. Tariquzzaman · Triantafillos Papadopoulos · Yan Wang · Lingfei Qian · Xueqing Peng · Zhuohan Xie · Ye Yuan · Saeed Almheiri · Abdulrazzaq Alnajjar · Ming-Bin Chen · Harry Stuart · Paul Thompson · Prayag Tiwari · Alejandro Lopez-Lira · Xue Liu · Jimin Huang · Sophia Ananiadou

摘要

Large language models (LLMs) have been widely applied across various domains of finance. Since their training data are largely derived from human-authored corpora, LLMs may inherit a range of human biases. Behavioral biases can lead to instability and uncertainty in decision-making, particularly...

评测与基准社会与人本数据与预训练OpenReview 项目页

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