Imagen de Portada

IGDA: Interactive Graph Discovery through Large Language Model Agents

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Havrilla, Alex, Alvarez-Melis, David, Fusi, Nicolo
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adapting Language Models via Token Translation
por: Feng, Zhili, et al.
Publicado: (2024)

Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
por: Shen, Junhong, et al.
Publicado: (2024)

Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
por: Havrilla, Alex, et al.
Publicado: (2024)

SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms
por: Havrilla, Alex, et al.
Publicado: (2025)

Large Language Models are Effective Priors for Causal Graph Discovery
por: Darvariu, Victor-Alexandru, et al.
Publicado: (2024)

Efficient Causal Graph Discovery Using Large Language Models
por: Jiralerspong, Thomas, et al.
Publicado: (2024)

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback
por: Yang, Yongjin, et al.
Publicado: (2025)

Active Slice Discovery in Large Language Models
por: Zhang, Minhui, et al.
Publicado: (2025)

The Ratchet Effect in Silico through Interaction-Driven Cumulative Intelligence in Large Language Models
por: Zhuang, Ren
Publicado: (2025)

Automated Attention Pattern Discovery at Scale in Large Language Models
por: Katzy, Jonathan, et al.
Publicado: (2026)

LacMaterial: Large Language Models as Analogical Chemists for Materials Discovery
por: Guo, Hongyu
Publicado: (2025)

Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models
por: Sygkounas, Alkis, et al.
Publicado: (2026)

LLM-Rank: A Graph Theoretical Approach to Pruning Large Language Models
por: Hoffmann, David, et al.
Publicado: (2024)

GraphEdit: Large Language Models for Graph Structure Learning
por: Guo, Zirui, et al.
Publicado: (2024)

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
por: Kim, Jaekyeom, et al.
Publicado: (2024)

Aligning Agents like Large Language Models
por: Jelley, Adam, et al.
Publicado: (2024)

Are Large Language Models In-Context Graph Learners?
por: Li, Jintang, et al.
Publicado: (2025)

Are Large-Language Models Graph Algorithmic Reasoners?
por: Taylor, Alexander K, et al.
Publicado: (2024)

A Survey of Large Language Models for Graphs
por: Ren, Xubin, et al.
Publicado: (2024)

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
por: Majumder, Bodhisattwa Prasad, et al.
Publicado: (2024)

Knowledge Boundary Discovery for Large Language Models
por: Wang, Ziquan, et al.
Publicado: (2026)

Toward Efficient Exploration by Large Language Model Agents
por: Arumugam, Dilip, et al.
Publicado: (2025)

Large Language Model Agent for Hyper-Parameter Optimization
por: Liu, Siyi, et al.
Publicado: (2024)

Rational Metareasoning for Large Language Models
por: De Sabbata, C. Nicolò, et al.
Publicado: (2024)

What is the Right Notion of Distance between Predict-then-Optimize Tasks?
por: Rodriguez-Diaz, Paula, et al.
Publicado: (2024)

Conformal Information Pursuit for Interactively Guiding Large Language Models
por: Chan, Kwan Ho Ryan, et al.
Publicado: (2025)

Generalized Category Discovery with Large Language Models in the Loop
por: An, Wenbin, et al.
Publicado: (2023)

Can Large Language Models Help Experimental Design for Causal Discovery?
por: Li, Junyi, et al.
Publicado: (2025)

Data-centric Federated Graph Learning with Large Language Models
por: Yan, Bo, et al.
Publicado: (2025)

A Survey of Large Language Models for Data Challenges in Graphs
por: Li, Mengran, et al.
Publicado: (2025)

Test-Time Training on Graphs with Large Language Models (LLMs)
por: Zhang, Jiaxin, et al.
Publicado: (2024)

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
por: Chen, Zhikai, et al.
Publicado: (2023)

Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning
por: Song, Haoran, et al.
Publicado: (2025)

Analyzing Memorization in Large Language Models through the Lens of Model Attribution
por: Menta, Tarun Ram, et al.
Publicado: (2025)

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
por: Havrilla, Alex, et al.
Publicado: (2024)

Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
por: Takayama, Masayuki, et al.
Publicado: (2024)

Entropy-Reinforced Planning with Large Language Models for Drug Discovery
por: Liu, Xuefeng, et al.
Publicado: (2024)

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery
por: Xia, Yingce, et al.
Publicado: (2025)

Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
por: Feng, Yushi, et al.
Publicado: (2025)

DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents
por: Zhao, Jiahao, et al.
Publicado: (2026)