Image de couverture de livre

Bayesian Network Structure Discovery Using Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Yinghuan, Zhang, Yufei, Kordjamshidi, Parisa, Cui, Zijun
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization
par: Nafar, Aliakbar, et autres
Publié: (2025)

Consistent Joint Decision-Making with Heterogeneous Learning Models
par: Faghihi, Hossein Rajaby, et autres
Publié: (2024)

Find The Gap: Knowledge Base Reasoning For Visual Question Answering
par: Barezi, Elham J., et autres
Publié: (2024)

Using Persuasive Writing Strategies to Explain and Detect Health Misinformation
par: Kamali, Danial, et autres
Publié: (2022)

Tree-Structured Synergy of Large Language Models and Bayesian Optimization for Efficient CASH
par: Xu, Beicheng, et autres
Publié: (2026)

EGGS-PTP: An Expander-Graph Guided Structured Post-training Pruning Method for Large Language Models
par: Bazarbachi, Omar, et autres
Publié: (2025)

Grading the Unspoken: Evaluating Tacit Reasoning in Quantum Field Theory and String Theory with LLMs
par: Yu, Xingyang, et autres
Publié: (2026)

Active Slice Discovery in Large Language Models
par: Zhang, Minhui, et autres
Publié: (2025)

Large Language Models as Generalist Policies for Network Optimization
par: Wu, Duo, et autres
Publié: (2025)

Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model
par: Zhang, Yizhou, et autres
Publié: (2023)

Bayesian Mixture of Experts For Large Language Models
par: Dialameh, Maryam, et autres
Publié: (2025)

Efficient Causal Graph Discovery Using Large Language Models
par: Jiralerspong, Thomas, et autres
Publié: (2024)

Learn to Explore: Meta NAS via Bayesian Optimization Guided Graph Generation
par: Sun, Zijun, et autres
Publié: (2025)

Large-Scale Bayesian Causal Discovery with Interventional Data
par: Han, Seong Woo, et autres
Publié: (2025)

MatLLMSearch: Crystal Structure Discovery with Evolution-Guided Large Language Models
par: Gan, Jingru, et autres
Publié: (2025)

Causal Discovery from Data Assisted by Large Language Models
par: Barakati, Kamyar, et autres
Publié: (2025)

Beyond Mode-Seeking RL: Trajectory-Balance Post-Training for Diffusion Language Models
par: Ahmadi, Saba, et autres
Publié: (2026)

Narrowing the Gap between Vision and Action in Navigation
par: Zhang, Yue, et autres
Publié: (2024)

Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
par: Zhang, Yuzhe, et autres
Publié: (2024)

GNN: Graph Neural Network and Large Language Model for Data Discovery
par: Hoang, Thomas
Publié: (2024)

Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
par: Chen, Lin, et autres
Publié: (2024)

Adaptive Pruning for Large Language Models with Structural Importance Awareness
par: Zheng, Haotian, et autres
Publié: (2024)

Reasoning over Uncertain Text by Generative Large Language Models
par: Nafar, Aliakbar, et autres
Publié: (2024)

Efficient and Scalable Fine-Tune of Language Models for Genome Understanding
par: Zhan, Huixin, et autres
Publié: (2024)

Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
par: Cui, Andrea Yaoyun, et autres
Publié: (2025)

Exploring Spatial Language Grounding Through Referring Expressions
par: Tumu, Akshar, et autres
Publié: (2025)

Neuro-symbolic Training for Reasoning over Spatial Language
par: Premsri, Tanawan, et autres
Publié: (2024)

Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
par: Wang, Xiran, et autres
Publié: (2025)

Structural Causality-based Generalizable Concept Discovery Models
par: Sinha, Sanchit, et autres
Publié: (2024)

Deterministic Differentiable Structured Pruning for Large Language Models
par: Huang, Weiyu, et autres
Publié: (2026)

Bayesian Low-rank Adaptation for Large Language Models
par: Yang, Adam X., et autres
Publié: (2023)

Large Scale Multi-Task Bayesian Optimization with Large Language Models
par: Zeng, Yimeng, et autres
Publié: (2025)

Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
par: Kerdabadi, Mohsen Nayebi, et autres
Publié: (2026)

AGFT: Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models
par: Cui, Yubo, et autres
Publié: (2026)

NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-Language
par: Kamali, Danial, et autres
Publié: (2025)

Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models
par: Nafar, Aliakbar, et autres
Publié: (2024)

Evaluating Large Language Models in Scientific Discovery
par: Song, Zhangde, et autres
Publié: (2025)

On Predictability of Reinforcement Learning Dynamics for Large Language Models
par: Cai, Yuchen, et autres
Publié: (2025)

Continuous Bayesian Model Selection for Multivariate Causal Discovery
par: Dhir, Anish, et autres
Publié: (2024)

Bivariate Causal Discovery using Bayesian Model Selection
par: Dhir, Anish, et autres
Publié: (2023)