Imagen de Portada

Mining experimental data from Materials Science literature with Large Language Models: an evaluation study

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Foppiano, Luca, Lambard, Guillaume, Amagasa, Toshiyuki, Ishii, Masashi
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Exploring the Expertise of Large Language Models in Materials Science and Metallurgical Engineering
por: Bajan, Christophe, et al.
Publicado: (2025)

Digging Up Citations: FOSSIL, a Dataset and Workflow for Reference Extraction in Law and the Humanities
por: Foppiano, Luca, et al.
Publicado: (2026)

Learned but Not Expressed: Capability-Expression Dissociation in Large Language Models
por: Shigemura, Toshiyuki
Publicado: (2026)

Beyond Structure: Revolutionising Materials Discovery via AI-Driven Synthesis Protocol-Property Relationships
por: Lambard, Guillaume
Publicado: (2026)

SciLaD: A Large-Scale, Transparent, Reproducible Dataset for Natural Scientific Language Processing
por: Foppiano, Luca, et al.
Publicado: (2025)

Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation
por: Hida, Rem, et al.
Publicado: (2024)

Construction of a Battery Research Knowledge Graph using a Global Open Catalog
por: Foppiano, Luca, et al.
Publicado: (2026)

Repeated Sequences Reveal Gaps between Large Language Models and Natural Language
por: Tanaka-Ishii, Kumiko
Publicado: (2026)

MiningGPT -- A Domain-Specific Large Language Model for the Mining Industry
por: Demartini, Kurukulasooriya Fernando ana Gianluca
Publicado: (2024)

DARWIN 1.5: Large Language Models as Materials Science Adapted Learners
por: Xie, Tong, et al.
Publicado: (2024)

Large Language Models in Argument Mining: A Survey
por: Li, Hao, et al.
Publicado: (2025)

Noise-Driven Persona Formation in Reflexive Neural Language Generation
por: Shigemura, Toshiyuki
Publicado: (2025)

Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
por: Ye, Yanpeng, et al.
Publicado: (2024)

Belief Revision: The Adaptability of Large Language Models Reasoning
por: Wilie, Bryan, et al.
Publicado: (2024)

An Analytical Exploration of the Erdös-Moser Equation $ \sum_{i=1}^{m-1} i^k = m^k $ Using Approximation Methods
por: Lambard, Guillaume
Publicado: (2024)

Correlation Dimension of Auto-Regressive Large Language Models
por: Du, Xin, et al.
Publicado: (2025)

MatTools: Benchmarking Large Language Models for Materials Science Tools
por: Liu, Siyu, et al.
Publicado: (2025)

Assessing Open-Source Large Language Models on Argumentation Mining Subtasks
por: Abkenar, Mohammad Yeghaneh, et al.
Publicado: (2024)

Retrieval Augmented Generation based Large Language Models for Causality Mining
por: Naduvilakandy, Thushara Manjari, et al.
Publicado: (2025)

MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models
por: Yoshitake, Michiko, et al.
Publicado: (2024)

A unified foundational framework for knowledge injection and evaluation of Large Language Models in Combustion Science
por: Yang, Zonglin, et al.
Publicado: (2026)

Latent Feature Mining for Predictive Model Enhancement with Large Language Models
por: Li, Bingxuan, et al.
Publicado: (2024)

Large Language Models as a Tool for Mining Object Knowledge
por: An, Hannah YoungEun, et al.
Publicado: (2024)

Quokka: An Open-source Large Language Model ChatBot for Material Science
por: Yang, Xianjun, et al.
Publicado: (2024)

Fair-GPTQ: Bias-Aware Quantization for Large Language Models
por: Proskurina, Irina, et al.
Publicado: (2025)

Evaluating Large Language Models for Material Selection
por: Grandi, Daniele, et al.
Publicado: (2024)

MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models
por: Huang, Kaichen, et al.
Publicado: (2024)

PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks
por: Berti, Alessandro, et al.
Publicado: (2024)

Zero-shot Bilingual App Reviews Mining with Large Language Models
por: Wei, Jialiang, et al.
Publicado: (2023)

Systematic Framework of Application Methods for Large Language Models in Language Sciences
por: Sun, Kun, et al.
Publicado: (2025)

TnT-LLM: Text Mining at Scale with Large Language Models
por: Wan, Mengting, et al.
Publicado: (2024)

Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?
por: Zhang, Yanjian, et al.
Publicado: (2025)

Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining
por: Tan, Yanchao, et al.
Publicado: (2024)

MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science
por: Kim, Junho, et al.
Publicado: (2024)

Evaluating Hydro-Science and Engineering Knowledge of Large Language Models
por: Hu, Shiruo, et al.
Publicado: (2025)

Source framing triggers systematic evaluation bias in Large Language Models
por: Germani, Federico, et al.
Publicado: (2025)

Recursive Knowledge Synthesis for Multi-LLM Systems: Stability Analysis and Tri-Agent Audit Framework
por: Shigemura, Toshiyuki
Publicado: (2025)

Investigating the translation capabilities of Large Language Models trained on parallel data only
por: Gilabert, Javier García, et al.
Publicado: (2024)

Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models
por: Domhan, Tobias, et al.
Publicado: (2025)

MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models
por: Yu, Beibei, et al.
Publicado: (2024)