:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Songchi, Yu, Sheng
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2312.08274
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models
by: Liu, Ye, et al.
Published: (2024)

Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)

EMBRE: Entity-aware Masking for Biomedical Relation Extraction
by: Li, Mingjie, et al.
Published: (2024)

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation
by: Zhan, Zaifu, et al.
Published: (2025)

Empirical Analysis of Dialogue Relation Extraction with Large Language Models
by: Li, Guozheng, et al.
Published: (2024)

AutoRE: Document-Level Relation Extraction with Large Language Models
by: Xue, Lilong, et al.
Published: (2024)

Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier
by: Shang, Yufei, et al.
Published: (2025)

Assessing Large Language Models for Structured Medical Order Extraction
by: Karim, A H M Rezaul, et al.
Published: (2025)

Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
by: Peng, Cheng, et al.
Published: (2023)

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
by: Tran, Hieu, et al.
Published: (2023)

A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis
by: Liu, Jiachen, et al.
Published: (2025)

Pipelined Biomedical Event Extraction Rivaling Joint Learning
by: Wu, Pengchao, et al.
Published: (2024)

An evaluation of DeepSeek Models in Biomedical Natural Language Processing
by: Zhan, Zaifu, et al.
Published: (2025)

Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
by: Huang, Weiyu, et al.
Published: (2024)

Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks
by: Efeoglu, Sefika, et al.
Published: (2024)

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
by: Jiang, Pengcheng, et al.
Published: (2024)

Empowering Private Tutoring by Chaining Large Language Models
by: Chen, Yulin, et al.
Published: (2023)

Empowering Language Models with Active Inquiry for Deeper Understanding
by: Pang, Jing-Cheng, et al.
Published: (2024)

WebThinker: Empowering Large Reasoning Models with Deep Research Capability
by: Li, Xiaoxi, et al.
Published: (2025)

Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast
by: Feng, Jinyuan, et al.
Published: (2026)

Large Language Models for Biomedical Text Simplification: Promising But Not There Yet
by: Li, Zihao, et al.
Published: (2024)

Harnessing Large Language Models for Biomedical Named Entity Recognition
by: Chen, Jian, et al.
Published: (2025)

Empowering Working Memory for Large Language Model Agents
by: Guo, Jing, et al.
Published: (2023)

Multi-layer Sequence Labeling-based Joint Biomedical Event Extraction
by: Chen, Gongchi, et al.
Published: (2024)

Empowering Large Language Models for Textual Data Augmentation
by: Li, Yichuan, et al.
Published: (2024)

MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
by: Zhan, Zaifu, et al.
Published: (2025)

Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
by: Shao, Yijia, et al.
Published: (2024)

Relation Extraction Using Large Language Models: A Case Study on Acupuncture Point Locations
by: Li, Yiming, et al.
Published: (2024)

A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models
by: Zavarella, Vanni, et al.
Published: (2024)

Empowering Large Language Model Agents through Action Learning
by: Zhao, Haiteng, et al.
Published: (2024)

A Large-Language Model Framework for Relative Timeline Extraction from PubMed Case Reports
by: Wang, Jing, et al.
Published: (2025)

Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development
by: Ma, Tengfei, et al.
Published: (2024)

Graphical Reasoning: LLM-based Semi-Open Relation Extraction
by: Tao, Yicheng, et al.
Published: (2024)

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
by: Fang, Gongfan, et al.
Published: (2024)

Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models
by: Pelletier, Alexander R., et al.
Published: (2024)

Semi-supervised Fine-tuning for Large Language Models
by: Luo, Junyu, et al.
Published: (2024)

A Unified Biomedical Named Entity Recognition Framework with Large Language Models
by: Lv, Tengxiao, et al.
Published: (2025)

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

WizardCoder: Empowering Code Large Language Models with Evol-Instruct
by: Luo, Ziyang, et al.
Published: (2023)

BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining
by: Merzah, Baqer M., et al.
Published: (2025)