Cover Image

Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ding, Zepeng, Huang, Wenhao, Liang, Jiaqing, Yang, Deqing, Xiao, Yanghua
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction
by: Ding, Zepeng, et al.
Published: (2024)

Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
by: Huang, Wenhao, et al.
Published: (2024)

Adaptive Ordered Information Extraction with Deep Reinforcement Learning
by: Huang, Wenhao, et al.
Published: (2023)

ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
by: Yuan, Siyu, et al.
Published: (2023)

QUILL: Quotation Generation Enhancement of Large Language Models
by: Xiao, Jin, et al.
Published: (2024)

Past Meets Present: Creating Historical Analogy with Large Language Models
by: Li, Nianqi, et al.
Published: (2024)

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
by: Li, Yanda, et al.
Published: (2024)

Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization
by: Wang, Dixuan, et al.
Published: (2024)

P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models
by: Jiang, Guochao, et al.
Published: (2024)

Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data
by: Ran, Yiting, et al.
Published: (2024)

SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation
by: Luo, Ziqin, et al.
Published: (2024)

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
by: He, Qianyu, et al.
Published: (2024)

Structured Reasoning for Large Language Models
by: Han, Jinyi, et al.
Published: (2026)

RLAP: A Reinforcement Learning Enhanced Adaptive Planning Framework for Multi-step NLP Task Solving
by: Ding, Zepeng, et al.
Published: (2025)

BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation
by: Ran, Yiting, et al.
Published: (2025)

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception
by: Huang, Yuncheng, et al.
Published: (2023)

Small Language Model Can Self-correct
by: Han, Haixia, et al.
Published: (2024)

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024)

CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes
by: Zhao, Haokun, et al.
Published: (2024)

ConcEPT: Concept-Enhanced Pre-Training for Language Models
by: Wang, Xintao, et al.
Published: (2024)

A Bi-consolidating Model for Joint Relational Triple Extraction
by: Luo, Xiaocheng, et al.
Published: (2024)

Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience
by: Han, Haixia, et al.
Published: (2024)

Tracing Relational Knowledge Recall in Large Language Models
by: Popovič, Nicholas, et al.
Published: (2026)

What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty
by: Zhang, Bowei, et al.
Published: (2025)

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
by: Chen, Yuyan, et al.
Published: (2024)

Can Pre-trained Language Models Understand Chinese Humor?
by: Chen, Yuyan, et al.
Published: (2024)

Do Large Language Models Truly Understand Cross-cultural Differences?
by: Guo, Shiwei, et al.
Published: (2025)

Recent Advancement of Emotion Cognition in Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)

Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
by: Chen, Lida, et al.
Published: (2024)

Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency
by: Shi, Yuchen, et al.
Published: (2024)

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models
by: Zhang, Yikai, et al.
Published: (2024)

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
by: Ren, Qingyu, et al.
Published: (2025)

ToNER: Type-oriented Named Entity Recognition with Generative Language Model
by: Jiang, Guochao, et al.
Published: (2024)

Skeletons Matter: Dynamic Data Augmentation for Text-to-Query
by: Ji, Yuchen, et al.
Published: (2025)

Can Large Language Models Understand Real-World Complex Instructions?
by: He, Qianyu, et al.
Published: (2023)

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
by: Huang, Wenhao, et al.
Published: (2024)

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
by: Pradeep, Ronak, et al.
Published: (2025)

Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy
by: Jiang, Guochao, et al.
Published: (2024)

Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks
by: Huang, Yuncheng, et al.
Published: (2024)

Exploiting Duality in Open Information Extraction with Predicate Prompt
by: Chen, Zhen, et al.
Published: (2024)