Cover Image

GPTON: Generative Pre-trained Transformers enhanced with Ontology Narration for accurate annotation of biological data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Rongbin, Chen, Wenbo, Li, Jinbo, Xing, Hanwen, Xu, Hua, Li, Zhao, Zheng, W. Jim
Format:	Preprint
Published:	2024
Subjects:	Quantitative Methods Artificial Intelligence J.3; I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Drug Identification in Overdose Death Surveillance using Large Language Models
by: Funnell, Arthur J., et al.
Published: (2025)

Human-AI Collaboration Increases Efficiency in Regulatory Writing
by: Eser, Umut, et al.
Published: (2025)

Curated AI beats frontier LLMs at pharma asset discovery
by: Kidziński, Łukasz, et al.
Published: (2026)

DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2025)

Language model driven: a PROTAC generation pipeline with dual constraints of structure and property
by: Shao, Jinsong, et al.
Published: (2024)

GATher: Graph Attention Based Predictions of Gene-Disease Links
by: Narganes-Carlon, David, et al.
Published: (2024)

EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical and Life Science Text
by: Ahmed, Rafsan, et al.
Published: (2023)

Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model
by: Li, Rui, et al.
Published: (2023)

UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
by: Li, Chenao, et al.
Published: (2025)

On Initializing Transformers with Pre-trained Embeddings
by: Kim, Ha Young, et al.
Published: (2024)

COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations
by: Goecks, Vinicius G., et al.
Published: (2024)

Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine
by: Zeng, Jingqi, et al.
Published: (2024)

Patient-specific Biomolecular Instruction Tuning
by: Adam, Irsyad, et al.
Published: (2025)

AI-MASLD Metabolic Dysfunction and Information Steatosis of Large Language Models in Unstructured Clinical Narratives
by: Shen, Yuan, et al.
Published: (2025)

Collective Memory and Narrative Cohesion: A Computational Study of Palestinian Refugee Oral Histories in Lebanon
by: Awwad, Ghadeer, et al.
Published: (2025)

NTLRAG: Narrative Topic Labels derived with Retrieval Augmented Generation
by: Grobelscheg, Lisa, et al.
Published: (2026)

Integrating clinical reasoning into large language model-based diagnosis through etiology-aware attention steering
by: Li, Peixian, et al.
Published: (2025)

Modeling Patient Care Trajectories with Transformer Hawkes Processes
by: Pandey, Saumya, et al.
Published: (2026)

VALID-Mol: a Systematic Framework for Validated LLM-Assisted Molecular Design
by: Malikussaid, et al.
Published: (2025)

InterFeat: A Pipeline for Finding Interesting Scientific Features
by: Ofer, Dan, et al.
Published: (2025)

Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agents
by: Ge, Zhuohan, et al.
Published: (2025)

ARGUS: Seeing the Influence of Narrative Features on Persuasion in Argumentative Texts
by: Nabhani, Sara, et al.
Published: (2026)

Model selection meets clinical semantics: Optimizing ICD-10-CM prediction via LLM-as-Judge evaluation, redundancy-aware sampling, and section-aware fine-tuning
by: Dai, Hong-Jie, et al.
Published: (2025)

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network
by: Li, Rui, et al.
Published: (2024)

OEMA: Ontology-Enhanced Multi-Agent Collaboration Framework for Zero-Shot Clinical Named Entity Recognition
by: Tao, Xinli, et al.
Published: (2025)

From Syntax to Semantics: Unveiling the Emergence of Chirality in SMILES Translation Models
by: Li, Zehao, et al.
Published: (2026)

Investigation of phytochemicals, spectral properties, anticancer, antidiabetic, and antimicrobial activities of chosen Ayurvedic remedies
by: Shareef, T. H. Mohamed Ahadu, et al.
Published: (2024)

SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data
by: Su, Yunyue, et al.
Published: (2025)

CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography
by: Challier, Camille, et al.
Published: (2025)

Discursive objection strategies in online comments: Developing a classification schema and validating its training
by: Shea, Ashley L., et al.
Published: (2024)

Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing
by: Fernández-González, Daniel, et al.
Published: (2026)

Automated Cell Structure Extraction for 3D Electron Microscopy by Deep Learning
by: Kousaka, Jin, et al.
Published: (2024)

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics
by: Steinacker, Marie, et al.
Published: (2025)

Implicit Neural Representations of Molecular Vector-Valued Functions
by: Lhotka, Jirka, et al.
Published: (2025)

Pre-training data selection for biomedical domain adaptation using journal impact metrics
by: Laï-king, Mathieu, et al.
Published: (2024)

Exploiting LLM-as-a-Judge Disposition on Free Text Legal QA via Prompt Optimization
by: Elganayni, Mohamed Hesham, et al.
Published: (2026)

Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
by: Bergomi, Laura, et al.
Published: (2024)

The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes
by: Alba, Charles, et al.
Published: (2024)

Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages
by: Anyaegbuna, Chukwuebuka, et al.
Published: (2026)

End-to-End Evaluation and Governance of an EHR-Embedded AI Agent for Clinicians
by: Shah, Aaryan, et al.
Published: (2026)