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stock prediction

33 papers

Papers

An Approach Towards Developing Relationally Intelligent Multimodal Framework for Stock Movement Prediction (Student Abstract) AAAI 2026 Decoding the Market’s Pulse: Context-Enriched Agentic Retrieval Augmented Generation for Predicting Post-Earnings Price Shocks EACL 2026 Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models AAAI 2026 DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction AAAI 2025 Generating Financial News Articles from Factors of Stock Price Rise / Decline by LLMs COLING 2025 InFiNITE (∞): Indian Financial Narrative Inference Tasks & Evaluations AACL 2025 STRUX: An LLM for Decision-Making with Structured Explanations NAACL 2025 AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework COLING 2024 CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction NeurIPS 2024 ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction AAAI 2024 LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction ACL 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024 Causality-Guided Multi-Memory Interaction Network for Multivariate Stock Price Movement Prediction ACL 2023 HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE IJCAI 2023 Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model EMNLP 2022 A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction NAACL 2022 DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents EMNLP 2022 Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty AAAI 2021 From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations EMNLP 2021 Modeling financial uncertainty with multivariate temporal entropy-based curriculums UAI 2021 Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks AAAI 2021 Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations EMNLP 2020 Event-Driven Learning of Systematic Behaviours in Stock Markets EMNLP 2020 Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020 Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework AAAI 2020