Image de couverture de livre

The Effects of Hallucinations in Synthetic Training Data for Relation Extraction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Rogulsky, Steven, Popovic, Nicholas, Färber, Michael
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Prompt Compression in the Wild: Measuring Latency, Rate Adherence, and Quality for Faster LLM Inference
par: Kummer, Cornelius, et autres
Publié: (2026)

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
par: Susanti, Yuni, et autres
Publié: (2025)

Analyzing the Influence of Knowledge Graph Information on Relation Extraction
par: Möller, Cedric, et autres
Publié: (2025)

Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction
par: Ding, Yifan, et autres
Publié: (2024)

Clinical Document Metadata Extraction: A Scoping Review
par: Miller, Kurt, et autres
Publié: (2025)

DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction
par: Wu, Yiheng, et autres
Publié: (2024)

Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models
par: Kelber, Florian, et autres
Publié: (2026)

Synthesized Annotation Guidelines are Knowledge-Lite Boosters for Clinical Information Extraction
par: Hsu, Enshuo, et autres
Publié: (2025)

Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning
par: Zhang, Tao, et autres
Publié: (2024)

CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts
par: Opitz, Juri, et autres
Publié: (2026)

Cross-Domain Web Information Extraction at Pinterest
par: Farag, Michael, et autres
Publié: (2025)

Few-shot Continual Relation Extraction via Open Information Extraction
par: Nguyen, Thiem, et autres
Publié: (2025)

DR.EHR: Dense Retrieval for Electronic Health Record with Knowledge Injection and Synthetic Data
par: Zhao, Zhengyun, et autres
Publié: (2025)

FVA-RAG: Falsification-Verification Alignment for Mitigating Sycophantic Hallucinations
par: Ravishankara, Mayank
Publié: (2025)

Hybrid Retrieval for Hallucination Mitigation in Large Language Models: A Comparative Analysis
par: Mala, Chandana Sree, et autres
Publié: (2025)

Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG
par: Chen, Baiyu, et autres
Publié: (2025)

Automated Extraction and Creation of FBS Design Reasoning Knowledge Graphs from Structured Data in Product Catalogues Lacking Contextual Information
par: Sahadevan, Vijayalaxmi, et autres
Publié: (2024)

OAEI-LLM: A Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
par: Qiang, Zhangcheng, et autres
Publié: (2024)

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
par: Liu, Lingyuan, et autres
Publié: (2025)

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection
par: Gashkov, Aleksandr, et autres
Publié: (2025)

Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
par: Thakur, Nandan, et autres
Publié: (2023)

Mitigating Hallucination with ZeroG: An Advanced Knowledge Management Engine
par: Sharma, Anantha, et autres
Publié: (2024)

Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs
par: Thakur, Nandan, et autres
Publié: (2025)

Explore BiLSTM-CRF-Based Models for Open Relation Extraction
par: Ni, Tao, et autres
Publié: (2021)

UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction
par: Wilder, Joe, et autres
Publié: (2025)

Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence
par: Jeong, Ujun, et autres
Publié: (2026)

Synthetic Query Generation using Large Language Models for Virtual Assistants
par: Sannigrahi, Sonal, et autres
Publié: (2024)

HyperPIE: Hyperparameter Information Extraction from Scientific Publications
par: Saier, Tarek, et autres
Publié: (2023)

Merged ChemProt-DrugProt for Relation Extraction from Biomedical Literature
par: Nguyen, Mai H., et autres
Publié: (2024)

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration
par: Ren, Shaola, et autres
Publié: (2025)

Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities
par: Zhu, Yurui, et autres
Publié: (2026)

Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Models
par: Keith-Norambuena, Brian Felipe, et autres
Publié: (2026)

Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets
par: Zhou, Yue, et autres
Publié: (2020)

ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
par: Ferraretto, Fernando, et autres
Publié: (2024)

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
par: Salemi, Alireza, et autres
Publié: (2025)

Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs
par: Mishra, Lokesh, et autres
Publié: (2024)

OrgForge: A Multi-Agent Simulation Framework for Verifiable Synthetic Corporate Corpora
par: Flynt, Jeffrey
Publié: (2026)

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
par: Xu, Ziyang, et autres
Publié: (2024)

Tabular PDF Information Extraction with Local LLMs and Layout-Aware Parsing: A Reliability Evaluation
par: Hilmi, Muhammad Anis Al, et autres
Publié: (2026)

Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers
par: Harris, Lee
Publié: (2025)