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Financial Analysis
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
QuantMCP: Grounding Large Language Models in Verifiable Financial Reality
How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment
VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis
Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation
A Survey of Attacks on Large Language Models
Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism
MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices
SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities
Semantic segmentation of forest stands using deep learning
FinAudio: A Benchmark for Audio Large Language Models in Financial Applications
Exploring the Reliability of Self-explanation and its Relationship with Classification in Language Model-driven Financial Analysis
Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG
Prompt Sentiment: The Catalyst for LLM Change
Bridging Language Models and Financial Analysis
FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
Integrating the implied regularity into implied volatility models: A study on free arbitrage model
Quantum Powered Credit Risk Assessment: A Novel Approach using hybrid Quantum-Classical Deep Neural Network for Row-Type Dependent Predictive Analysis
MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents
FinanceQA: A Benchmark for Evaluating Financial Analysis Capabilities of Large Language Models
An Analysis of the Interdependence Between Peanut and Other Agricultural Commodities in China's Futures Market
Reasoning based on symbolic and parametric knowledge bases: a survey
Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations
Sentiment trading with large language models
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
Auto-Generating Earnings Report Analysis via a Financial-Augmented LLM
Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research
FinTeamExperts: Role Specialized MOEs For Financial Analysis
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
Modelling financial returns with mixtures of generalized normal distributions
Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets
Metadata Matters for Time Series: Informative Forecasting with Transformers
DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy
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