Saved in:
| Main Authors: | Cao, Zhixuan, Han, Ming, Wang, Jingtao, Jia, Meng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.02031 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection
by: Fatouros, Georgios, et al.
Published: (2024)
by: Fatouros, Georgios, et al.
Published: (2024)
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
by: Zou, Yao, et al.
Published: (2025)
by: Zou, Yao, et al.
Published: (2025)
MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents
by: Fatouros, George, et al.
Published: (2025)
by: Fatouros, George, et al.
Published: (2025)
Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
by: Soumalias, Ermis, et al.
Published: (2024)
by: Soumalias, Ermis, et al.
Published: (2024)
A Deep Reinforcement Learning Trader without Offline Training
by: Lazov, Boian
Published: (2023)
by: Lazov, Boian
Published: (2023)
FANAL -- Financial Activity News Alerting Language Modeling Framework
by: Patel, Urjitkumar, et al.
Published: (2024)
by: Patel, Urjitkumar, et al.
Published: (2024)
Net-Zero: A Comparative Study on Neural Network Design for Climate-Economic PDEs Under Uncertainty
by: Rodriguez-Pardo, Carlos, et al.
Published: (2025)
by: Rodriguez-Pardo, Carlos, et al.
Published: (2025)
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders
by: Yang, Xuwei, et al.
Published: (2025)
by: Yang, Xuwei, et al.
Published: (2025)
Convergences and Divergences in the 2024 Judicial Reform in Mexico: A Neural Network Analysis of Transparency, Judicial Autonomy, and Public Acceptance
by: Medel-Ramírez, Carlos
Published: (2024)
by: Medel-Ramírez, Carlos
Published: (2024)
Standardized Threat Taxonomy for AI Security, Governance, and Regulatory Compliance
by: Huwyler, Hernan
Published: (2025)
by: Huwyler, Hernan
Published: (2025)
Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions
by: Nguyen, Dang Viet Anh, et al.
Published: (2024)
by: Nguyen, Dang Viet Anh, et al.
Published: (2024)
MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare
by: Wang, Yihao, et al.
Published: (2026)
by: Wang, Yihao, et al.
Published: (2026)
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models
by: Moradbeiki, Pardis, et al.
Published: (2024)
by: Moradbeiki, Pardis, et al.
Published: (2024)
Perch 2.0 transfers 'whale' to underwater tasks
by: Burns, Andrea, et al.
Published: (2025)
by: Burns, Andrea, et al.
Published: (2025)
Neuro-Spectral Architectures for Causal Physics-Informed Networks
by: Bizzi, Arthur, et al.
Published: (2025)
by: Bizzi, Arthur, et al.
Published: (2025)
Coin Turning Games on Partially Ordered Sets
by: Ishikawa, Masao, et al.
Published: (2026)
by: Ishikawa, Masao, et al.
Published: (2026)
DNNShifter: An Efficient DNN Pruning System for Edge Computing
by: Eccles, Bailey J., et al.
Published: (2023)
by: Eccles, Bailey J., et al.
Published: (2023)
Non-destructive Identification of Oyster Species is possible from Hyperspectral Images with Machine Learning
by: Waters, Ethan Kane, et al.
Published: (2026)
by: Waters, Ethan Kane, et al.
Published: (2026)
Realizability of Rectangular Euler Diagrams
by: Dürrschnabel, Dominik, et al.
Published: (2024)
by: Dürrschnabel, Dominik, et al.
Published: (2024)
CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM
by: Patel, Urjitkumar, et al.
Published: (2024)
by: Patel, Urjitkumar, et al.
Published: (2024)
Going with the Flow: Approximating Banzhaf Values via Graph Neural Networks
by: Kempinski, Benjamin, et al.
Published: (2025)
by: Kempinski, Benjamin, et al.
Published: (2025)
Formal specification and behavioral simulation of the holiday gift exchange game
by: Quigley, Daniel
Published: (2026)
by: Quigley, Daniel
Published: (2026)
Assessing Long-Term Electricity Market Design for Ambitious Decarbonization Targets using Multi-Agent Reinforcement Learning
by: Gonzalez-Ruiz, Javier, et al.
Published: (2025)
by: Gonzalez-Ruiz, Javier, et al.
Published: (2025)
Multimodal AI-based visualization of strategic leaders' emotional dynamics: a deep behavioral analysis of Trump's trade war discourse
by: Meng, Wei
Published: (2025)
by: Meng, Wei
Published: (2025)
Explainable AI-Based Interface System for Weather Forecasting Model
by: Kim, Soyeon, et al.
Published: (2025)
by: Kim, Soyeon, et al.
Published: (2025)
Example-Based Concept Analysis Framework for Deep Weather Forecast Models
by: Kim, Soyeon, et al.
Published: (2025)
by: Kim, Soyeon, et al.
Published: (2025)
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems
by: Cao, Lele, et al.
Published: (2023)
by: Cao, Lele, et al.
Published: (2023)
From Heuristics to Data: Quantifying Site Planning Layout Indicators with Deep Learning and Multi-Modal Data
by: Cao, Qian, et al.
Published: (2025)
by: Cao, Qian, et al.
Published: (2025)
Law-Strength Frontiers and a No-Free-Lunch Result for Law-Seeking Reinforcement Learning on Volatility Law Manifolds
by: Zhang, Jian'an
Published: (2025)
by: Zhang, Jian'an
Published: (2025)
Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning
by: Thil, Lucas-Andreï, et al.
Published: (2024)
by: Thil, Lucas-Andreï, et al.
Published: (2024)
On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
by: Akella, Aditya
Published: (2025)
by: Akella, Aditya
Published: (2025)
Communications to Circulations: Real-Time 3D Wind Field Prediction Using 5G GNSS Signals and Deep Learning
by: Ye, Yuchen, et al.
Published: (2025)
by: Ye, Yuchen, et al.
Published: (2025)
Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
by: Duy, Dang Sy, et al.
Published: (2026)
by: Duy, Dang Sy, et al.
Published: (2026)
Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition
by: Pant, Vik, et al.
Published: (2026)
by: Pant, Vik, et al.
Published: (2026)
AI Mother Tongue: Self-Emergent Communication in MARL via Endogenous Symbol Systems
by: Liu, Hung Ming
Published: (2025)
by: Liu, Hung Ming
Published: (2025)
Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features
by: Maiden, Angus, et al.
Published: (2023)
by: Maiden, Angus, et al.
Published: (2023)
An Equilibrium Model for Schedule-Based Transit Networks with Hard Vehicle Capacities
by: Harks, Tobias, et al.
Published: (2024)
by: Harks, Tobias, et al.
Published: (2024)
AI in Investment Analysis: LLMs for Equity Stock Ratings
by: Papasotiriou, Kassiani, et al.
Published: (2024)
by: Papasotiriou, Kassiani, et al.
Published: (2024)
Strategic Counterfactual Modeling of Deep-Target Airstrike Systems via Intervention-Aware Spatio-Causal Graph Networks
by: Meng, Wei
Published: (2025)
by: Meng, Wei
Published: (2025)
Recent Advances in Data-Driven Business Process Management
by: Ackermann, Lars, et al.
Published: (2024)
by: Ackermann, Lars, et al.
Published: (2024)
Similar Items
-
Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection
by: Fatouros, Georgios, et al.
Published: (2024) -
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
by: Zou, Yao, et al.
Published: (2025) -
MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents
by: Fatouros, George, et al.
Published: (2025) -
Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
by: Soumalias, Ermis, et al.
Published: (2024) -
A Deep Reinforcement Learning Trader without Offline Training
by: Lazov, Boian
Published: (2023)