Cover Image

LOBERT: Generative AI Foundation Model for Limit Order Book Messages

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Linna, Eljas, Baltakys, Kestutis, Iosifidis, Alexandros, Kanniainen, Juho
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Challenges for Generative AI in Legal Reasoning
by: Linna, Eljas, et al.
Published: (2025)

Time-Series Foundation AI Model for Value-at-Risk Forecasting
by: Goel, Anubha, et al.
Published: (2024)

Variational Graph Convolutional Neural Networks
by: Oleksiienko, Illia, et al.
Published: (2025)

PRISM: Distributed Inference for Foundation Models at Edge
by: Qazi, Muhammad Azlan, et al.
Published: (2025)

Classifying and Clustering Trading Agents
by: Wilinski, Mateusz, et al.
Published: (2025)

DiffLOB: Diffusion Models for Counterfactual Generation in Limit Order Books
by: Wang, Zhuohan, et al.
Published: (2026)

Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder
by: Li, Nan, et al.
Published: (2024)

Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment
by: Qazi, Muhammad Azlan, et al.
Published: (2026)

A Model-Free Universal AI
by: Kim, Yegon, et al.
Published: (2026)

Learning hidden cascades via classification
by: Manoharan, Derrick Gilchrist Edward, et al.
Published: (2025)

The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
by: Chen, Tianhua
Published: (2026)

Foundation Time-Series AI Model for Realized Volatility Forecasting
by: Goel, Anubha, et al.
Published: (2025)

Generative Modeling and Data Augmentation for Power System Production Simulation
by: Xu, Linna, et al.
Published: (2024)

Forecasting mortality associated emergency department crowding
by: Nevanlinna, Jalmari, et al.
Published: (2024)

Adaptive Online Non-stochastic Control
by: Mhaisen, Naram, et al.
Published: (2023)

KANFormer for Predicting Fill Probabilities via Survival Analysis in Limit Order Books
by: Zhong, Jinfeng, et al.
Published: (2025)

Axial Neural Networks for Dimension-Free Foundation Models
by: Kim, Hyunsu, et al.
Published: (2025)

Evaluation of Architectural Synthesis Using Generative AI
by: Huang, Jingfei, et al.
Published: (2025)

Performing Arts as a Limit to the Digital: Theatrical Space, Embodied Co‑Presence, and the Politics of Ephemeral Action
by: Schismenos, Alexandros
Published: (2026)

Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
by: Zhong, Muyao, et al.
Published: (2025)

Creativity in AI as Emergence from Domain-Limited Generative Models
by: Chutaux, Corina
Published: (2026)

Enhancing Programming Error Messages in Real Time with Generative AI
by: Kimmel, Bailey, et al.
Published: (2024)

Recording and Describing Poker Hands
by: Kim, Juho
Published: (2023)

PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations
by: Kim, Juho
Published: (2023)

Using Large Language Models to Enhance Programming Error Messages
by: Leinonen, Juho, et al.
Published: (2022)

Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation
by: Lin, Qinhong, et al.
Published: (2024)

The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential Elections
by: Chang, Ho-Chun Herbert, et al.
Published: (2024)

AI-Generated Slides: Are They Good? Can Students Tell?
by: Leinonen, Juho, et al.
Published: (2026)

Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
by: Dong, Hao, et al.
Published: (2025)

Agent-based model of information diffusion in the limit order book trading
by: Wilinski, Mateusz, et al.
Published: (2025)

Prospects of Imitating Trading Agents in the Stock Market
by: Wilinski, Mateusz, et al.
Published: (2025)

Detachment Problem -- Application in Prevention of Information Leakage in Stock Markets
by: Hansen, Henri, et al.
Published: (2024)

GAIA: Categorical Foundations of Generative AI
by: Mahadevan, Sridhar
Published: (2024)

Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects
by: Gallegos, Isabel O., et al.
Published: (2025)

Reinforcement Learning-Based Market Making as a Stochastic Control on Non-Stationary Limit Order Book Dynamics
by: Zimmer, Rafael, et al.
Published: (2025)

PAME-AI: Patient Messaging Creation and Optimization using Agentic AI
by: Luo, Junjie, et al.
Published: (2025)

A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books
by: Letteri, Ivan
Published: (2025)

Robust Uncertainty Quantification for Factual Generation of Large Language Models
by: Zhang, Yuhao, et al.
Published: (2026)

Fighting AI with AI: Leveraging Foundation Models for Assuring AI-Enabled Safety-Critical Systems
by: Mavridou, Anastasia, et al.
Published: (2025)

System Message Generation for User Preferences using Open-Source Models
by: Jeong, Minbyul, et al.
Published: (2025)