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Neural Double Auction Mechanism
Tsuyoshi Suehara, Koh Takeuchi, Hisashi Kashima +3
Mechanism design, a branch of economics, aims to design rules that can autonomously achieve desired outcomes in resource allocation and public decision making. The research on mech…
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
Yasuaki Sumita, Koh Takeuchi, Hisashi Kashima
Large Language Models (LLMs) are trained on large corpora written by humans and demonstrate high performance on various tasks. However, as humans are susceptible to cognitive biase…
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
Xiaotian Lu, Jiyi Li, Koh Takeuchi +1
Question answering (QA) tasks have been extensively studied in the field of natural language processing (NLP). Answers to open-ended questions are highly diverse and difficult to q…
Learning Neural Strategy-Proof Matching Mechanism from Examples
Ryota Maruo, Koh Takeuchi, Hisashi Kashima
Designing two-sided matching mechanisms is challenging when practical demands for matching outcomes are difficult to formalize and the designed mechanism must satisfy theoretical c…
Learning Fair and Preferable Allocations through Neural Network
Ryota Maruo, Koh Takeuchi, Hisashi Kashima
The fair allocation of indivisible resources is a fundamental problem. Existing research has developed various allocation mechanisms or algorithms to satisfy different fairness not…
Evaluating Saliency Explanations in NLP by Crowdsourcing
Xiaotian Lu, Jiyi Li, Zhen Wan +3
Deep learning models have performed well on many NLP tasks. However, their internal mechanisms are typically difficult for humans to understand. The development of methods to expla…