RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack
Fuente:
arXiv
Saved in:
| Main Authors: | Dai, Weichen, Dai, Zijie, Huang, Zhijie, Pan, Yixuan, Li, Xinhe, Li, Xi, Zhou, Yi, Qi, Ji, Jiang, Wu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
by: Dai, Weichen, et al.
Published: (2024)
by: Dai, Weichen, et al.
Published: (2024)
COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANs
by: Li, Xinhe, et al.
Published: (2024)
by: Li, Xinhe, et al.
Published: (2024)
Aligning LLMs with Human Instructions and Stock Market Feedback in Financial Sentiment Analysis
by: Zhao, Zijie, et al.
Published: (2024)
by: Zhao, Zijie, et al.
Published: (2024)
Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions
by: Chen, Zeyu, et al.
Published: (2025)
by: Chen, Zeyu, et al.
Published: (2025)
FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
Zero-Shot 3D Drug Design by Sketching and Generating
by: Long, Siyu, et al.
Published: (2022)
by: Long, Siyu, et al.
Published: (2022)
Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions
by: Liu, Yen-Ku, et al.
Published: (2025)
by: Liu, Yen-Ku, et al.
Published: (2025)
International Trade Flow Prediction with Bilateral Trade Provisions
by: Pan, Zijie, et al.
Published: (2024)
by: Pan, Zijie, et al.
Published: (2024)
Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics
by: Li, Ruoyan, et al.
Published: (2025)
by: Li, Ruoyan, et al.
Published: (2025)
Constructing Mechanical Design Agent Based on Large Language Models
by: Lu, Jiaxing, et al.
Published: (2024)
by: Lu, Jiaxing, et al.
Published: (2024)
Multimodal growth and development assessment model
by: Li, Ying, et al.
Published: (2024)
by: Li, Ying, et al.
Published: (2024)
Reinforcement Learning from Human Feedback for Lane Changing of Autonomous Vehicles in Mixed Traffic
by: Wang, Yuting, et al.
Published: (2024)
by: Wang, Yuting, et al.
Published: (2024)
Mitigating Procrastination in Spatial Crowdsourcing Via Efficient Scheduling Algorithm
by: Debnath, Naren, et al.
Published: (2024)
by: Debnath, Naren, et al.
Published: (2024)
MLLM-based Discovery of Intrinsic Coordinates and Governing Equations from High-Dimensional Data
by: Li, Ruikun, et al.
Published: (2025)
by: Li, Ruikun, et al.
Published: (2025)
GrifFinNet: A Graph-Relation Integrated Transformer for Financial Predictions
by: Dai, Chenlanhui, et al.
Published: (2025)
by: Dai, Chenlanhui, et al.
Published: (2025)
Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution
by: Zhao, Zijie, et al.
Published: (2024)
by: Zhao, Zijie, et al.
Published: (2024)
A Phase-Field-Micromechanics Study on the Microstructural Evolution during Viscous Sintering
by: Dai, Xiaoxu, et al.
Published: (2024)
by: Dai, Xiaoxu, et al.
Published: (2024)
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting
by: Yang, Jiarui, et al.
Published: (2024)
by: Yang, Jiarui, et al.
Published: (2024)
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
by: Huang, Jimin, et al.
Published: (2024)
by: Huang, Jimin, et al.
Published: (2024)
Flow Field Reconstruction with Sensor Placement Policy Learning
by: Li, Ruoyan, et al.
Published: (2026)
by: Li, Ruoyan, et al.
Published: (2026)
ChemHTS: Hierarchical Tool Stacking for Enhancing Chemical Agents
by: Li, Zhucong, et al.
Published: (2025)
by: Li, Zhucong, et al.
Published: (2025)
UAV Trajectory and Bandwidth Allocation for Efficient Data Collection in Low-Altitude Intelligent IoT: A Hierarchical DRL Approach
by: Xu, Zhenjia, et al.
Published: (2026)
by: Xu, Zhenjia, et al.
Published: (2026)
Enhancing Smart Grids with Internet of Energy: Deep Reinforcement Learning and Convolutional Neural Network
by: Ruzbahani, Ali Mohammadi
Published: (2024)
by: Ruzbahani, Ali Mohammadi
Published: (2024)
ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability
by: Wang, Xiangwen, et al.
Published: (2025)
by: Wang, Xiangwen, et al.
Published: (2025)
Fusing LLMs and KGs for Formal Causal Reasoning behind Financial Risk Contagion
by: Yu, Guanyuan, et al.
Published: (2024)
by: Yu, Guanyuan, et al.
Published: (2024)
FinRL Contests: Benchmarking Data-driven Financial Reinforcement Learning Agents
by: Wang, Keyi, et al.
Published: (2025)
by: Wang, Keyi, et al.
Published: (2025)
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
by: Elrefaie, Mohamed, et al.
Published: (2024)
by: Elrefaie, Mohamed, et al.
Published: (2024)
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
Multiagent Reinforcement Learning Enhanced Decision-making of Crew Agents During Floor Construction Process
by: Yang, Bin, et al.
Published: (2024)
by: Yang, Bin, et al.
Published: (2024)
On Scalable Design for User-Centric Multi-Modal Shared E-Mobility Systems using MILP and Modified Dijkstra's Algorithm
by: Shah, Maqsood Hussain, et al.
Published: (2024)
by: Shah, Maqsood Hussain, et al.
Published: (2024)
Evaluation of Thermal Control Based on Spatial Thermal Comfort with Reconstructed Environmental Data
by: Kim, Youngkyu, et al.
Published: (2025)
by: Kim, Youngkyu, et al.
Published: (2025)
A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues
by: Lin, Zhongya, et al.
Published: (2025)
by: Lin, Zhongya, et al.
Published: (2025)
A production planning benchmark for real-world refinery-petrochemical complexes
by: Du, Wenli, et al.
Published: (2025)
by: Du, Wenli, et al.
Published: (2025)
Hybrid Fusion for Battery Degradation Diagnostics Using Minimal Real-World Data: Bridging Laboratory and Practical Applications
by: Liu, Yisheng, et al.
Published: (2024)
by: Liu, Yisheng, et al.
Published: (2024)
Are Economists Open to AI? Text as Data as Survey on Professional Sentiment and Academic Research Trends
by: Wang, Yi, et al.
Published: (2026)
by: Wang, Yi, et al.
Published: (2026)
MoMoE: A Mixture of Expert Agent Model for Financial Sentiment Analysis
by: Shu, Peng, et al.
Published: (2025)
by: Shu, Peng, et al.
Published: (2025)
Integrating Data Mining and Predictive Modeling Techniques for Enhanced Retail Optimization
by: M, Sri Darshan, et al.
Published: (2024)
by: M, Sri Darshan, et al.
Published: (2024)
XNet-Enhanced Deep BSDE Method and Numerical Analysis
by: Zheng, Xiaotao, et al.
Published: (2025)
by: Zheng, Xiaotao, et al.
Published: (2025)
A 99-Line Homogenization Code for Lattice-skin Plate Structures
by: Ji, Zhongkai, et al.
Published: (2026)
by: Ji, Zhongkai, et al.
Published: (2026)
Few-shot Molecular Property Prediction: A Survey
by: Wang, Zeyu, et al.
Published: (2025)
by: Wang, Zeyu, et al.
Published: (2025)
Similar Items
-
KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
by: Dai, Weichen, et al.
Published: (2024) -
COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANs
by: Li, Xinhe, et al.
Published: (2024) -
Aligning LLMs with Human Instructions and Stock Market Feedback in Financial Sentiment Analysis
by: Zhao, Zijie, et al.
Published: (2024) -
Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions
by: Chen, Zeyu, et al.
Published: (2025) -
FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
by: Hu, Yifan, et al.
Published: (2025)