StockGenChaR: A Study on the Evaluation of Large Vision-Language Models on Stock Chart Captioning
Fuente:
arXiv
Guardado en:
| Autores principales: | Qiu, Le, Chersoni, Emmanuele |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
por: Wang, Shengkun, et al.
Publicado: (2024)
por: Wang, Shengkun, et al.
Publicado: (2024)
S$^{3}$G: Stock State Space Graph for Enhanced Stock Trend Prediction
por: Lu, Yao, et al.
Publicado: (2026)
por: Lu, Yao, et al.
Publicado: (2026)
Comparing Different Transformer Model Structures for Stock Prediction
por: Chen, Qizhao
Publicado: (2025)
por: Chen, Qizhao
Publicado: (2025)
Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
por: Zhu, Zhuohang, et al.
Publicado: (2025)
por: Zhu, Zhuohang, et al.
Publicado: (2025)
Pre-training Time Series Models with Stock Data Customization
por: Wang, Mengyu, et al.
Publicado: (2025)
por: Wang, Mengyu, et al.
Publicado: (2025)
Application of an ANN and LSTM-based Ensemble Model for Stock Market Prediction
por: Liu, Fang, et al.
Publicado: (2024)
por: Liu, Fang, et al.
Publicado: (2024)
MambaStock: Selective state space model for stock prediction
por: Shi, Zhuangwei
Publicado: (2024)
por: Shi, Zhuangwei
Publicado: (2024)
SPH-Net: A Co-Attention Hybrid Model for Accurate Stock Price Prediction
por: Wu, Yiyang, et al.
Publicado: (2025)
por: Wu, Yiyang, et al.
Publicado: (2025)
Stock Market Dynamics Through Deep Learning Context
por: Aminimehr, Amirhossein, et al.
Publicado: (2024)
por: Aminimehr, Amirhossein, et al.
Publicado: (2024)
CSMD: Curated Multimodal Dataset for Chinese Stock Analysis
por: Liu, Yu, et al.
Publicado: (2025)
por: Liu, Yu, et al.
Publicado: (2025)
A Framework for Measuring How News Topics Drive Stock Movement
por: Chen, Qizhao
Publicado: (2025)
por: Chen, Qizhao
Publicado: (2025)
InvariantStock: Learning Invariant Features for Mastering the Shifting Market
por: Cao, Haiyao, et al.
Publicado: (2024)
por: Cao, Haiyao, et al.
Publicado: (2024)
MIGA: Mixture-of-Experts with Group Aggregation for Stock Market Prediction
por: Yu, Zhaojian, et al.
Publicado: (2024)
por: Yu, Zhaojian, et al.
Publicado: (2024)
Unleashing Expert Opinion from Social Media for Stock Prediction
por: Zhou, Wanyun, et al.
Publicado: (2025)
por: Zhou, Wanyun, et al.
Publicado: (2025)
Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
por: Xu, Wenyan, et al.
Publicado: (2025)
por: Xu, Wenyan, et al.
Publicado: (2025)
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
por: Zhu, Enmin, et al.
Publicado: (2024)
por: Zhu, Enmin, et al.
Publicado: (2024)
DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction
por: Dong, Chengqi, et al.
Publicado: (2024)
por: Dong, Chengqi, et al.
Publicado: (2024)
Incremental Learning of Stock Trends via Meta-Learning with Dynamic Adaptation
por: Huang, Shiluo, et al.
Publicado: (2024)
por: Huang, Shiluo, et al.
Publicado: (2024)
ResNLS: An Improved Model for Stock Price Forecasting
por: Jia, Yuanzhe, et al.
Publicado: (2023)
por: Jia, Yuanzhe, et al.
Publicado: (2023)
Aligning LLMs with Human Instructions and Stock Market Feedback in Financial Sentiment Analysis
por: Zhao, Zijie, et al.
Publicado: (2024)
por: Zhao, Zijie, et al.
Publicado: (2024)
Sentiment-Aware Stock Price Prediction with Transformer and LLM-Generated Formulaic Alpha
por: Chen, Qizhao, et al.
Publicado: (2025)
por: Chen, Qizhao, et al.
Publicado: (2025)
SETN: Stock Embedding Enhanced with Textual and Network Information
por: Takayanagi, Takehiro, et al.
Publicado: (2024)
por: Takayanagi, Takehiro, et al.
Publicado: (2024)
StockBot 2.0: Vanilla LSTMs Outperform Transformer-based Forecasting for Stock Prices
por: Mohanty, Shaswat
Publicado: (2026)
por: Mohanty, Shaswat
Publicado: (2026)
DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models
por: Daiya, Divyanshu, et al.
Publicado: (2024)
por: Daiya, Divyanshu, et al.
Publicado: (2024)
Impact of Major Health Events on Pharmaceutical Stocks: A Comprehensive Analysis Using Macroeconomic and Market Indicators
por: Maleki, Morteza, et al.
Publicado: (2024)
por: Maleki, Morteza, et al.
Publicado: (2024)
A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
por: Hu, Linyue, et al.
Publicado: (2025)
por: Hu, Linyue, et al.
Publicado: (2025)
Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
por: Siala, Walid, et al.
Publicado: (2026)
por: Siala, Walid, et al.
Publicado: (2026)
AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading
por: Deng, Zheye, et al.
Publicado: (2025)
por: Deng, Zheye, et al.
Publicado: (2025)
FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
por: Hu, Yifan, et al.
Publicado: (2025)
por: Hu, Yifan, et al.
Publicado: (2025)
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting
por: Wang, Mingjie, et al.
Publicado: (2022)
por: Wang, Mingjie, et al.
Publicado: (2022)
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
por: Szydłowski, Kamil Ł., et al.
Publicado: (2024)
por: Szydłowski, Kamil Ł., et al.
Publicado: (2024)
Mean-Variance Efficient Collaborative Filtering for Stock Recommendation
por: Chung, Munki, et al.
Publicado: (2023)
por: Chung, Munki, et al.
Publicado: (2023)
MSMF: Multi-Scale Multi-Modal Fusion for Enhanced Stock Market Prediction
por: Qin, Jiahao
Publicado: (2024)
por: Qin, Jiahao
Publicado: (2024)
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
por: Zhao, Lifan, et al.
Publicado: (2023)
por: Zhao, Lifan, et al.
Publicado: (2023)
Stock Price Prediction Using Triple Barrier Labeling and Raw OHLCV Data: Evidence from Korean Markets
por: Kang, Sungwoo
Publicado: (2025)
por: Kang, Sungwoo
Publicado: (2025)
StockSim: A Dual-Mode Order-Level Simulator for Evaluating Multi-Agent LLMs in Financial Markets
por: Papadakis, Charidimos, et al.
Publicado: (2025)
por: Papadakis, Charidimos, et al.
Publicado: (2025)
From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models
por: Kuang, Ziyan, et al.
Publicado: (2025)
por: Kuang, Ziyan, et al.
Publicado: (2025)
Q-A3C2: Quantum Reinforcement Learning with Time-Series Dynamic Clustering for Adaptive ETF Stock Selection
por: Liu, Yen-Ku, et al.
Publicado: (2025)
por: Liu, Yen-Ku, et al.
Publicado: (2025)
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
por: Zhu, Peng, et al.
Publicado: (2024)
por: Zhu, Peng, et al.
Publicado: (2024)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
por: Kandimalla, Eshwar Sai, et al.
Publicado: (2026)
por: Kandimalla, Eshwar Sai, et al.
Publicado: (2026)
Ejemplares similares
-
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
por: Wang, Shengkun, et al.
Publicado: (2024) -
S$^{3}$G: Stock State Space Graph for Enhanced Stock Trend Prediction
por: Lu, Yao, et al.
Publicado: (2026) -
Comparing Different Transformer Model Structures for Stock Prediction
por: Chen, Qizhao
Publicado: (2025) -
Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
por: Zhu, Zhuohang, et al.
Publicado: (2025) -
Pre-training Time Series Models with Stock Data Customization
por: Wang, Mengyu, et al.
Publicado: (2025)