Cover Image

Grounded Satirical Generation with RAG

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Itkonen, Oona, Su, Yuxin, Du, Linyao, De Gibert, Ona
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Impact of Vocabulary Overlaps on Knowledge Transfer in Multilingual Machine Translation
by: Itkonen, Oona, et al.
Published: (2026)

Open Machine Translation for Esperanto
by: de Gibert, Ona, et al.
Published: (2026)

Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs
by: Ozturk, Asli Umay, et al.
Published: (2024)

KD4MT: A Survey of Knowledge Distillation for Machine Translation
by: de Gibert, Ona, et al.
Published: (2026)

WISE: Web Information Satire and Fakeness Evaluation
by: Chhetri, Gaurab, et al.
Published: (2025)

TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
by: Yang, Jing, et al.
Published: (2024)

Scaling Low-Resource MT via Synthetic Data Generation with LLMs
by: de Gibert, Ona, et al.
Published: (2025)

DocHPLT: A Massively Multilingual Document-Level Translation Dataset
by: O'Brien, Dayyán, et al.
Published: (2025)

Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English
by: Abdalla, Omar W., et al.
Published: (2024)

SaRoHead: Detecting Satire in a Multi-Domain Romanian News Headline Dataset
by: Vîrlan, Mihnea-Alexandru, et al.
Published: (2025)

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering
by: Wu, Ruofan, et al.
Published: (2025)

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
by: Mickus, Timothee, et al.
Published: (2024)

MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles
by: Smădu, Răzvan-Alexandru, et al.
Published: (2025)

Is This Tweet Satirical? A Computational Approach for Satire Detection in Spanish
by: Francesco Barbieri
Published: (2015)

SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA
by: Xu, Haozhou, et al.
Published: (2025)

P-RAG: Prompt-Enhanced Parametric RAG with LoRA and Selective CoT for Biomedical and Multi-Hop QA
by: Lyu, Xingda, et al.
Published: (2026)

ScenarioBench: Trace-Grounded Compliance Evaluation for Text-to-SQL and RAG
by: Atf, Zahra, et al.
Published: (2025)

Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets
by: Zhou, Yue, et al.
Published: (2020)

SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition
by: Li, Zechen, et al.
Published: (2024)

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
by: Fan, Yuxin, et al.
Published: (2025)

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG
by: Wang, Xihang, et al.
Published: (2026)

Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
by: Song, Maojia, et al.
Published: (2024)

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation
by: Jiang, Wentao, et al.
Published: (2025)

SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset
by: Smădu, Răzvan-Alexandru, et al.
Published: (2025)

GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation
by: Sorodoc, Ionut-Teodor, et al.
Published: (2025)

A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
by: Du, Mingxuan, et al.
Published: (2026)

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
by: Zhang, Qinggang, et al.
Published: (2025)

When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
by: Xiang, Zhishang, et al.
Published: (2025)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
by: Yang, Linyao, et al.
Published: (2023)

Ingest-And-Ground: Dispelling Hallucinations from Continually-Pretrained LLMs with RAG
by: Fang, Chenhao, et al.
Published: (2024)

YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models
by: Nandy, Abhilash, et al.
Published: (2024)

CARE-RAG - Clinical Assessment and Reasoning in RAG
by: Potluri, Deepthi, et al.
Published: (2025)

Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation
by: Su, Hongyang, et al.
Published: (2026)

GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering
by: Zhang, Tianyi, et al.
Published: (2026)

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems
by: Zhang, Yuxin, et al.
Published: (2025)

ConfRAG: Confidence-Guided Retrieval-Augmenting Generation
by: Huang, Yin, et al.
Published: (2025)

ImpRAG: Retrieval-Augmented Generation with Implicit Queries
by: Zhang, Wenzheng, et al.
Published: (2025)

Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts
by: Du, Hanwen, et al.
Published: (2025)

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
by: Sharma, Kartik, et al.
Published: (2024)

PhoniTale: Phonologically Grounded Mnemonic Generation for Typologically Distant Language Pairs
by: Kang, Sana, et al.
Published: (2025)