Imagen de Portada

ChemBART: A Pre-trained BART Model Assisting Organic Chemistry Analysis

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Kenan, Zhang, Yijian, Wang, Jin, Gan, Haipeng, Sun, Zeying, Lei, Xiaoguang, Dong, Hao
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

An Infinite BART model
por: Battiston, Marco, et al.
Publicado: (2025)

Generative Regression with IQ-BART
por: O'Hagan, Sean, et al.
Publicado: (2025)

Probit Monotone BART
por: Fisher, Jared D.
Publicado: (2025)

K-Fold Causal BART for CATE Estimation
por: Souto, Hugo Gobato, et al.
Publicado: (2024)

MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation
por: Han, Yang, et al.
Publicado: (2025)

Extracting Emotion Phrases from Tweets using BART
por: Rezapour, Mahdi
Publicado: (2024)

flexBART: Flexible Bayesian regression trees with categorical predictors
por: Deshpande, Sameer K.
Publicado: (2022)

Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression
por: Cao, Jiahao, et al.
Publicado: (2025)

CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation
por: Basioti, Kalliopi, et al.
Publicado: (2024)

L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathi
por: Deshmukh, Pranita, et al.
Publicado: (2024)

Minnesota BART
por: Lima, Pedro A., et al.
Publicado: (2025)

The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA
por: Youngmin, Lee, et al.
Publicado: (2024)

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
por: Li, Junxian, et al.
Publicado: (2024)

PrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generation
por: Kaing, Hour, et al.
Publicado: (2025)

enviPath-PFAS BART Raw Files - Additional BART Files October 2025
por: Rich, Stephanie
Publicado: (2025)

Scalable piecewise smoothing with BART
por: Yee, Ryan, et al.
Publicado: (2024)

Deep, Deep Learning with BART
por: Blumenthal, Moritz, et al.
Publicado: (2022)

Pollen profile BART, France
por: Richard, Hervé
Publicado: (2014)

Transcription and translation of videos using fine-tuned XLSR Wav2Vec2 on custom dataset and mBART
por: Tathe, Aniket, et al.
Publicado: (2024)

End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2
por: Tathe, Aniket, et al.
Publicado: (2024)

Urban Region Pre-training and Prompting: A Graph-based Approach
por: Jin, Jiahui, et al.
Publicado: (2024)

Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART
por: Masri, Sari, et al.
Publicado: (2024)

Is Pre-training Applicable to the Decoder for Dense Prediction?
por: Ning, Chao, et al.
Publicado: (2025)

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model
por: Niu, Peisong, et al.
Publicado: (2025)

"Robust-squared" Imputation Models Using BART
por: Tan, Yaoyuan V., et al.
Publicado: (2018)

OmniFluids: Physics Pre-trained Modeling of Fluid Dynamics
por: Zhang, Rui, et al.
Publicado: (2025)

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
por: Zhang, Tuo, et al.
Publicado: (2023)

ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System
por: Han, Dong, et al.
Publicado: (2025)

An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework
por: Sun, Yulin, et al.
Publicado: (2025)

Lithology of sediment core BART, France
por: Richard, Hervé
Publicado: (2014)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
por: Li, Li, et al.
Publicado: (2024)

RmGPT: A Foundation Model with Generative Pre-trained Transformer for Fault Diagnosis and Prognosis in Rotating Machinery
por: Wang, Yilin, et al.
Publicado: (2024)

Thinking Augmented Pre-training
por: Wang, Liang, et al.
Publicado: (2025)

ChemKANs for Combustion Chemistry Modeling and Acceleration
por: Koenig, Benjamin C., et al.
Publicado: (2025)

MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time
por: Kang, Jikun, et al.
Publicado: (2024)

ChemDFM-X: Towards Large Multimodal Model for Chemistry
por: Zhao, Zihan, et al.
Publicado: (2024)

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
por: Cheng, Mingyue, et al.
Publicado: (2024)

PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks
por: Meng, Mark Huasong, et al.
Publicado: (2024)

Model Merging in Pre-training of Large Language Models
por: Li, Yunshui, et al.
Publicado: (2025)

Static and Dynamic BART for Rank-Order Data
por: Iacopini, Matteo, et al.
Publicado: (2023)