Cover Image

Financial Knowledge Large Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Cehao, Xu, Chengjin, Qi, Yiyan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models
by: Ma, Shengjie, et al.
Published: (2025)

Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
by: Li, Muzhi, et al.
Published: (2024)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
by: Ma, Shengjie, et al.
Published: (2024)

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
by: Chen, Zhanpeng, et al.
Published: (2024)

RETuning: Upgrading Inference-Time Scaling for Stock Movement Prediction with Large Language Models
by: Lin, Xueyuan, et al.
Published: (2025)

Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
by: Wu, Xiaojun, et al.
Published: (2024)

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
by: Li, Muzhi, et al.
Published: (2024)

Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
by: Liu, Honghao, et al.
Published: (2026)

LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
by: Yang, Cehao, et al.
Published: (2025)

Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning
by: Yang, Cehao, et al.
Published: (2025)

Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
by: Wu, Xiaojun, et al.
Published: (2025)

GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation
by: Yang, Cehao, et al.
Published: (2025)

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
by: Sun, Jiashuo, et al.
Published: (2023)

ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
by: Xu, Zhengzhuo, et al.
Published: (2024)

Beyond the Reported Cutoff: Where Large Language Models Fall Short on Financial Knowledge
by: Shah, Agam, et al.
Published: (2025)

FinEval-KR: A Financial Domain Evaluation Framework for Large Language Models' Knowledge and Reasoning
by: Dou, Shaoyu, et al.
Published: (2025)

Knowledge-Augmented Large Language Model Agents for Explainable Financial Decision-Making
by: Zhang, Qingyuan, et al.
Published: (2025)

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
by: Guo, Xin, et al.
Published: (2023)

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
by: Xue, Siqiao, et al.
Published: (2023)

Toward Informal Language Processing: Knowledge of Slang in Large Language Models
by: Sun, Zhewei, et al.
Published: (2024)

CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model
by: Lei, Yang, et al.
Published: (2023)

Unlocking the Power of Large Language Models for Entity Alignment
by: Jiang, Xuhui, et al.
Published: (2024)

FMDLlama: Financial Misinformation Detection based on Large Language Models
by: Liu, Zhiwei, et al.
Published: (2024)

TransportationGames: Benchmarking Transportation Knowledge of (Multimodal) Large Language Models
by: Zhang, Xue, et al.
Published: (2024)

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
by: Zhang, Haohan, et al.
Published: (2023)

Functional Abstraction of Knowledge Recall in Large Language Models
by: Wang, Zijian, et al.
Published: (2025)

Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
by: Liu, Zhaowei, et al.
Published: (2025)

Context Graph
by: Xu, Chengjin, et al.
Published: (2024)

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models
by: Stanishevskii, Dmitry, et al.
Published: (2026)

Evaluating Hydro-Science and Engineering Knowledge of Large Language Models
by: Hu, Shiruo, et al.
Published: (2025)

A Survey on Knowledge Distillation of Large Language Models
by: Xu, Xiaohan, et al.
Published: (2024)

Retrieval-augmented Large Language Models for Financial Time Series Forecasting
by: Xiao, Mengxi, et al.
Published: (2025)

NUM2EVENT: Interpretable Event Reasoning from Numerical time-series
by: Feng, Ninghui, et al.
Published: (2025)

Large Language Models are In-context Teachers for Knowledge Reasoning
by: Zhao, Jiachen, et al.
Published: (2023)

A Dutch Financial Large Language Model
by: Noels, Sander, et al.
Published: (2024)

Distilling Rule-based Knowledge into Large Language Models
by: Yang, Wenkai, et al.
Published: (2023)

1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models
by: Zong, Zeliang, et al.
Published: (2025)

GeoEdit: Geometric Knowledge Editing for Large Language Models
by: Feng, Yujie, et al.
Published: (2025)

Construction of a Japanese Financial Benchmark for Large Language Models
by: Hirano, Masanori
Published: (2024)