activity
20232026
most citedFinancial Knowledge Large Language Model

5 citations · 8 across the 20 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.LG2024

Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making

Jian Guo, Saizhuo Wang, Yiyan Qi

Multi-stage decision-making is crucial in various real-world artificial intelligence applications, including recommendation systems, autonomous driving, and quantitative investment…

cs.AI2024

Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion

Muzhi Li, Cehao Yang, Chengjin Xu +5

The Knowledge Graph Completion~(KGC) task aims to infer the missing entity from an incomplete triple. Existing embedding-based methods rely solely on triples in the KG, which is vu…

cs.CL2024★ 1 cited

Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models

Xiaojun Wu, Junxi Liu, Huanyi Su +10

As large language models (LLMs) increasingly permeate the financial sector, there is a pressing need for a standardized method to comprehensively assess their performance. Existing…

cs.AI2024★ 1 cited

ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding

Zhengzhuo Xu, Bowen Qu, Yiyan Qi +4

Automatic chart understanding is crucial for content comprehension and document parsing. Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in chart…

cs.AI2024

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

Zhanpeng Chen, Chengjin Xu, Yiyan Qi +1

Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in processing and generating content across multiple data modalities. However, a significant draw…

cs.CL2024★ 5 cited

Financial Knowledge Large Language Model

Cehao Yang, Chengjin Xu, Yiyan Qi

Artificial intelligence is making significant strides in the finance industry, revolutionizing how data is processed and interpreted. Among these technologies, large language model…

cs.AI2024

Context Graph

Chengjin Xu, Muzhi Li, Cehao Yang +4

Knowledge Graphs (KGs) are foundational structures in many AI applications, representing entities and their interrelations through triples. However, triple-based KGs lack the conte…