Cover Image

Revisiting Relation Extraction in the era of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wadhwa, Somin, Amir, Silvio, Wallace, Byron C.
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Circuit Distillation
by: Wadhwa, Somin, et al.
Published: (2025)

Investigating Mysteries of CoT-Augmented Distillation
by: Wadhwa, Somin, et al.
Published: (2024)

Who Taught You That? Tracing Teachers in Model Distillation
by: Wadhwa, Somin, et al.
Published: (2025)

Learning from Natural Language Explanations for Generalizable Entity Matching
by: Wadhwa, Somin, et al.
Published: (2024)

Distilling Event Sequence Knowledge From Large Language Models
by: Wadhwa, Somin, et al.
Published: (2024)

Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare
by: Ahsan, Hiba, et al.
Published: (2025)

On-the-fly Definition Augmentation of LLMs for Biomedical NER
by: Munnangi, Monica, et al.
Published: (2024)

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study
by: Sun, Zhaoyue, et al.
Published: (2024)

Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models
by: Yun, Hye Sun, et al.
Published: (2024)

Function Vectors in Large Language Models
by: Todd, Eric, et al.
Published: (2023)

Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges
by: Ahsan, Hiba, et al.
Published: (2023)

Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction
by: Tang, Xuemei, et al.
Published: (2024)

Generating Diverse Training Samples for Relation Extraction with Large Language Models
by: Li, Zexuan, et al.
Published: (2025)

Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models
by: Shaib, Chantal, et al.
Published: (2025)

Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
by: Ramprasad, Sanjana, et al.
Published: (2024)

Can SAEs reveal and mitigate racial biases of LLMs in healthcare?
by: Ahsan, Hiba, et al.
Published: (2025)

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

Prompting Large Language Models for Clinical Temporal Relation Extraction
by: He, Jianping, et al.
Published: (2024)

LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models
by: Tu, Hongyao, et al.
Published: (2025)

Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
by: Zhou, Sizhe, et al.
Published: (2024)

Open (Clinical) LLMs are Sensitive to Instruction Phrasings
by: Arroyo, Alberto Mario Ceballos, et al.
Published: (2024)

On Relation-Specific Neurons in Large Language Models
by: Liu, Yihong, et al.
Published: (2025)

Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
by: Ding, Zepeng, et al.
Published: (2024)

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

Event Extraction in Large Language Model
by: Li, Bobo, et al.
Published: (2025)

Vector Arithmetic in Concept and Token Subspaces
by: Feucht, Sheridan, et al.
Published: (2025)

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

Post-Training Language Models for Continual Relation Extraction
by: Efeoglu, Sefika, et al.
Published: (2025)

Do Multi-Document Summarization Models Synthesize?
by: DeYoung, Jay, et al.
Published: (2023)

Revisiting Prompt Optimization with Large Reasoning Models-A Case Study on Event Extraction
by: Srivastava, Saurabh, et al.
Published: (2025)

GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
by: Krishna, Kundan, et al.
Published: (2024)

Domain-Adaptive Small Language Models for Structured Tax Code Prediction
by: Nath, Souvik, et al.
Published: (2025)

Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge
by: Laskar, Md Tahmid Rahman, et al.
Published: (2025)

M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models
by: Li, Zexuan, et al.
Published: (2025)

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)

How Much Annotation is Needed to Compare Summarization Models?
by: Shaib, Chantal, et al.
Published: (2024)

Revisiting the Reliability of Psychological Scales on Large Language Models
by: Huang, Jen-tse, et al.
Published: (2023)

CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
by: Shi, Zhengpeng, et al.
Published: (2024)

ADELIE: Aligning Large Language Models on Information Extraction
by: Qi, Yunjia, et al.
Published: (2024)