:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Ai, Yihao, Ning, Zhiyuan, Dai, Weiwei, Wang, Pengfei, Du, Yi, Cui, Wenjuan, Liu, Kunpeng, Zhou, Yuanchun
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2505.19722
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
por: Dong, Hao, et al.
Publicado: (2023)

Dynamic and Adaptive Feature Generation with LLM
por: Zhang, Xinhao, et al.
Publicado: (2024)

CataLM: Empowering Catalyst Design Through Large Language Models
por: Wang, Ludi, et al.
Publicado: (2024)

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
por: Dong, Hao, et al.
Publicado: (2025)

Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training
por: Xiao, Meng, et al.
Publicado: (2025)

Rethinking Graph Contrastive Learning through Relative Similarity Preservation
por: Ning, Zhiyuan, et al.
Publicado: (2025)

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis (Adv. Sci. 20/2026)
por: Ludi Wang, et al.
Publicado: (2026)

Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training
por: Cai, Xunxin, et al.
Publicado: (2025)

Retrieve Then Rerank: An End‐to‐End Learning Paradigm for Biomedical Entity Linking
por: Yuling Cao, et al.
Publicado: (2025)

Soft Graph Clustering for single-cell RNA Sequencing Data
por: Xu, Ping, et al.
Publicado: (2025)

Diversity-oriented Data Augmentation with Large Language Models
por: Wang, Zaitian, et al.
Publicado: (2025)

BioELX: Cross-lingual Biomedical Entity Linking via Alias-based Retrieval and LLM Ranking
por: Wang, Yi, et al.
Publicado: (2026)

scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data
por: Xu, Ping, et al.
Publicado: (2025)

Deep Cut-informed Graph Embedding and Clustering
por: Ning, Zhiyuan, et al.
Publicado: (2025)

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation
por: Xiao, Meng, et al.
Publicado: (2023)

KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition
por: Zhang, Heming, et al.
Publicado: (2025)

scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding
por: Xu, Ping, et al.
Publicado: (2024)

BELHD: Improving Biomedical Entity Linking with Homonoym Disambiguation
por: Garda, Samuele, et al.
Publicado: (2024)

Biomedical Entity Linking as Multiple Choice Question Answering
por: Lin, Zhenxi, et al.
Publicado: (2024)

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach
por: Avice, Régnier, et al.
Publicado: (2025)

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking
por: Shlyk, Darya, et al.
Publicado: (2026)

SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking
por: Remaki, Adam, et al.
Publicado: (2026)

Learning from Negative Samples in Biomedical Generative Entity Linking
por: Kim, Chanhwi, et al.
Publicado: (2024)

Crystal Ball or Compass? Navigating the Clinical Use of Predictive Models in Neonatal Care
por: Kunpeng Yang, et al.
Publicado: (2025)

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
por: Ning, Zhiyuan, et al.
Publicado: (2024)

PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability
por: Lyu, Ning, et al.
Publicado: (2026)

LongBEL: Long-Context and Document-Consistent Biomedical Entity Linking
por: Remaki, Adam, et al.
Publicado: (2026)

Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques
por: Achara, Akshit, et al.
Publicado: (2024)

BIBERT-Pipe on Biomedical Nested Named Entity Linking at BioASQ 2025
por: Li, Chunyu, et al.
Publicado: (2025)

DistillER: Knowledge Distillation in Entity Resolution with Large Language Models
por: Zeakis, Alexandros, et al.
Publicado: (2026)

Distill-Belief: Closed-Loop Inverse Source Localization and Characterization in Physical Fields
por: Shi, Yiwei, et al.
Publicado: (2026)

Knowledge Distillation for Continual Learning of Biomedical Neural Fields
por: Visser, Wouter, et al.
Publicado: (2025)

LLM-driven Knowledge Distillation for Dynamic Text-Attributed Graphs
por: Roy, Amit, et al.
Publicado: (2025)

MedPath: Multi-Domain Cross-Vocabulary Hierarchical Paths for Biomedical Entity Linking
por: Mishra, Nishant, et al.
Publicado: (2025)

Forging a path forward in NARS2 ‐related neonatal diabetes: A new horizon with artificial intelligence and digital health
por: Wenjuan Sun, et al.
Publicado: (2025)

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
por: Wang, Haoyu, et al.
Publicado: (2024)

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis
por: Qiu, Kunpeng, et al.
Publicado: (2025)

Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
por: Zhou, Yuhang, et al.
Publicado: (2024)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
por: Huang, Xiaohan, et al.
Publicado: (2025)

KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
por: Kim, Juyeon, et al.
Publicado: (2025)