Imagen de Portada

LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Abhyankar, Nikhil, Kabra, Sanchit, Desai, Saaketh, Reddy, Chandan K.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Materials Science Artificial Intelligence Neural and Evolutionary Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
por: Abhyankar, Nikhil, et al.
Publicado: (2025)

LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs
por: Kabra, Sanchit, et al.
Publicado: (2026)

Accelerating Multi-Objective Collaborative Optimization of Doped Thermoelectric Materials via Artificial Intelligence
por: Zeng, Yuxuan, et al.
Publicado: (2025)

An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition
por: Farias, Lucas R. C., et al.
Publicado: (2024)

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
por: Shojaee, Parshin, et al.
Publicado: (2024)

Knowledge-aware Evolutionary Graph Neural Architecture Search
por: Wang, Chao, et al.
Publicado: (2024)

Evolutionary Architecture Search through Grammar-Based Sequence Alignment
por: Martín, Adri Gómez, et al.
Publicado: (2025)

Offline Multi-Objective Optimization
por: Xue, Ke, et al.
Publicado: (2024)

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
por: Baumann, Jill, et al.
Publicado: (2024)

Evolutionary Multi-Objective Fusion of Deepfake Speech Detectors
por: Staněk, Vojtěch, et al.
Publicado: (2026)

GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization
por: Li, Xingyu
Publicado: (2026)

Multi-Objective Genetic Algorithm for Multi-View Feature Selection
por: Imani, Vandad, et al.
Publicado: (2023)

Contrastive Concept-Tree Search for LLM-Assisted Algorithm Discovery
por: Leleu, Timothee, et al.
Publicado: (2026)

Discovering Heuristics with Large Language Models (LLMs) for Mixed-Integer Programs: Single-Machine Scheduling
por: Çetinkaya, İbrahim Oğuz, et al.
Publicado: (2025)

Multi-Objective Quality-Diversity for Crystal Structure Prediction
por: Janmohamed, Hannah, et al.
Publicado: (2024)

Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces
por: Janmohamed, Hannah, et al.
Publicado: (2025)

Quantum-Evolutionary Neural Networks for Multi-Agent Federated Learning
por: Lala, Aarav, et al.
Publicado: (2025)

Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
por: Mishra, Akshansh
Publicado: (2024)

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
por: Booysen, Reinhard, et al.
Publicado: (2024)

MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization
por: Büssing, Jan, et al.
Publicado: (2026)

MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
por: Wang, Xubin, et al.
Publicado: (2024)

Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits
por: Xing, Sixue, et al.
Publicado: (2026)

Evolutionary Ensemble of Agents
por: Yu, Zongmin, et al.
Publicado: (2026)

TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
por: Huang, Qi, et al.
Publicado: (2024)

Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective
por: Saini, Anil K., et al.
Publicado: (2025)

Heuristically Adaptive Diffusion-Model Evolutionary Strategy
por: Hartl, Benedikt, et al.
Publicado: (2024)

CosineGate: Semantic Dynamic Routing via Cosine Incompatibility in Residual Networks
por: Thota, Yogeswar Reddy
Publicado: (2025)

EOE: Evolutionary Optimization of Experts for Training Language Models
por: Chen, Yingshi
Publicado: (2025)

Mergenetic: a Simple Evolutionary Model Merging Library
por: Minut, Adrian Robert, et al.
Publicado: (2025)

Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach
por: Bidgoli, Azam Asilian, et al.
Publicado: (2024)

MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
por: Mencattini, Tommaso, et al.
Publicado: (2025)

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
por: Du, He, et al.
Publicado: (2025)

Efficient Evolutionary Search Over Chemical Space with Large Language Models
por: Wang, Haorui, et al.
Publicado: (2024)

Evolving Genetic Programming Tree Models for Predicting the Mechanical Properties of Green Fibers for Better Biocomposite Materials
por: AL-Oqla, Faris M., et al.
Publicado: (2024)

LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search
por: Tanveer, Temoor
Publicado: (2026)

REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
por: Altmann, Philipp, et al.
Publicado: (2024)

Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems
por: Zhou, Ryan, et al.
Publicado: (2024)

Evolutionary fine tuning of quantized convolution-based deep learning models
por: Pietroń, Marcin
Publicado: (2026)

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
por: Song, Yanjie, et al.
Publicado: (2023)

DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing
por: Ghanathe, Nikhil P, et al.
Publicado: (2024)