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