5 citations · 11 across the 16 of their papers we have counts for
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cs.CL2025
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design
Kai Lan, Jiayong Zhu, Jiangtong Li +3
Large Multimodal Models (LMMs) demonstrate significant cross-modal reasoning capabilities. However, financial applications face challenges due to the lack of high-quality multimoda…
cs.CL2025
CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model
Jiangtong Li, Yiyun Zhu, Dawei Cheng +2
Multimodal Large Language Models (MLLMs) have rapidly evolved with the growth of Large Language Models (LLMs) and are now applied in various fields. In finance, the integration of…
cs.CL2023★ 5 cited
CFGPT: Chinese Financial Assistant with Large Language Model
Jiangtong Li, Yuxuan Bian, Guoxuan Wang +4
Large language models (LLMs) have demonstrated great potential in natural language processing tasks within the financial domain. In this work, we present a Chinese Financial Genera…