6 papers
FinMR: A Knowledge-Intensive Multimodal Benchmark for Advanced Financial Reasoning
Shuangyan Deng, Haizhou Peng, Jiachen Xu +3
Multimodal Large Language Models (MLLMs) have made substantial progress in recent years. However, their rigorous evaluation within specialized domains like finance is hindered by t…
Understanding Financial Reasoning in AI: A Multimodal Benchmark and Error Learning Approach
Shuangyan Deng, Haizhou Peng, Jiachen Xu +3
Effective financial reasoning demands not only textual understanding but also the ability to interpret complex visual data such as charts, tables, and trend graphs. This paper intr…
Data Pricing for Graph Neural Networks without Pre-purchased Inspection
Yiping Liu, Mengxiao Zhang, Jiamou Liu +1
Machine learning (ML) models have become essential tools in various scenarios. Their effectiveness, however, hinges on a substantial volume of data for satisfactory performance. Mo…
Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform
Haoyuan Li, Mengxiao Zhang, Maoyuan Li +5
This paper introduces 3MEthTaskforce (https://3meth.github.io), a multi-source, multi-level, and multi-token Ethereum dataset addressing the limitations of single-source datasets.…
Balancing Efficiency with Equality: Auction Design with Group Fairness Concerns
Fengjuan Jia, Mengxiao Zhang, Jiamou Liu +1
The issue of fairness in AI arises from discriminatory practices in applications like job recommendations and risk assessments, emphasising the need for algorithms that do not disc…
Meta-mechanisms for Combinatorial Auctions over Social Networks
Yuan Fang, Mengxiao Zhang, Jiamou Liu +1
Recently there has been a large amount of research designing mechanisms for auction scenarios where the bidders are connected in a social network. Different from the existing studi…