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20232026
most citedRevolutionizing Finance with LLMs: An Overview of Applications and Insights

43 citations · 161 across the 42 of their papers we have counts for

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9 papers · 1 filter

cs.CL2026

SYNAPSE: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation

Hanqi Jiang, Junhao Chen, Yi Pan +8

While Large Language Models (LLMs) excel at generalized reasoning, standard retrieval-augmented approaches fail to address the disconnected nature of long-term agentic memory. To b…

cs.CL2026

Large Language Models for Assisting American College Applications

Zhengliang Liu, Weihang You, Peng Shu +14

American college applications require students to navigate fragmented admissions policies, repetitive and conditional forms, and ambiguous questions that often demand cross-referen…

cs.CL2024

QueEn: A Large Language Model for Quechua-English Translation

Junhao Chen, Peng Shu, Yiwei Li +7

Recent studies show that large language models (LLMs) are powerful tools for working with natural language, bringing advances in many areas of computational linguistics. However, t…

cs.CL2024★ 1 cited

Foundation Models for Low-Resource Language Education (Vision Paper)

Zhaojun Ding, Zhengliang Liu, Hanqi Jiang +4

Recent studies show that large language models (LLMs) are powerful tools for working with natural language, bringing advances in many areas of computational linguistics. However, t…

cs.CL2024★ 10 cited

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research

Tianyang Zhong, Zhenyuan Yang, Zhengliang Liu +11

Low-resource languages serve as invaluable repositories of human history, embodying cultural evolution and intellectual diversity. Despite their significance, these languages face…

cs.CL2024★ 1 cited

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation

Peng Shu, Junhao Chen, Zhengliang Liu +13

Large Language Models (LLMs) have demonstrated remarkable success across a wide range of tasks and domains. However, their performance in low-resource language translation, particu…

cs.CL2024★ 2 cited

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios

Shaochen Xu, Yifan Zhou, Zhengliang Liu +19

Artificial Intelligence (AI) has become essential in modern healthcare, with large language models (LLMs) offering promising advances in clinical decision-making. Traditional model…

cs.CL2024★ 22 cited

Evaluation of OpenAI o1: Opportunities and Challenges of AGI

Tianyang Zhong, Zhengliang Liu, Yi Pan +74

This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, includi…

cs.CL2024★ 43 cited

Revolutionizing Finance with LLMs: An Overview of Applications and Insights

Huaqin Zhao, Zhengliang Liu, Zihao Wu +16

In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable advancements and have been applied in diverse fields. Built on the Transformer architecture, these…