:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bernardelle, Pietro, Civelli, Stefano, Roitero, Kevin, Demartini, Gianluca
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language
Accès en ligne:	https://arxiv.org/abs/2602.14044
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Political Ideology Shifts in Large Language Models
par: Bernardelle, Pietro, et autres
Publié: (2025)

Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas
par: Bernardelle, Pietro, et autres
Publié: (2024)

The Impact of Persona-based Political Perspectives on Hateful Content Detection
par: Civelli, Stefano, et autres
Publié: (2025)

SubData: Bridging Heterogeneous Datasets to Enable Theory-Driven Evaluation of Political and Demographic Perspectives in LLMs
par: Bernardelle, Pietro, et autres
Publié: (2024)

Ideology-Based LLMs for Content Moderation
par: Civelli, Stefano, et autres
Publié: (2025)

A Shared Geometry of Difficulty in Multilingual Language Models
par: Civelli, Stefano, et autres
Publié: (2026)

Political Advertising on Facebook During the 2022 Australian Federal Election: A Social Identity Perspective
par: Civelli, Stefano, et autres
Publié: (2025)

Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies
par: Meguellati, Elyas, et autres
Publié: (2025)

The Effect of Document Summarization on LLM-Based Relevance Judgments
par: Mohtadi, Samaneh, et autres
Publié: (2025)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
par: Roitero, Kevin, et autres
Publié: (2025)

Optimizing LLMs with Direct Preferences: A Data Efficiency Perspective
par: Bernardelle, Pietro, et autres
Publié: (2024)

LLM-Generated Ads: From Personalization Parity to Persuasion Superiority
par: Meguellati, Elyas, et autres
Publié: (2025)

On Robustness and Reliability of Benchmark-Based Evaluation of LLMs
par: Lunardi, Riccardo, et autres
Publié: (2025)

Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
par: Ge, Ziyu, et autres
Publié: (2025)

Personas with Attitudes: Controlling LLMs for Diverse Data Annotation
par: Fröhling, Leon, et autres
Publié: (2024)

CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
par: Zhang, Delvin Ce, et autres
Publié: (2025)

LLM-based Semantic Augmentation for Harmful Content Detection
par: Meguellati, Elyas, et autres
Publié: (2025)

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
par: Vladika, Juraj, et autres
Publié: (2025)

Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation
par: Fadeeva, Ekaterina, et autres
Publié: (2025)

Multilingual Previously Fact-Checked Claim Retrieval
par: Pikuliak, Matúš, et autres
Publié: (2023)

RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking
par: Yang, Shuo, et autres
Publié: (2025)

MiningGPT -- A Domain-Specific Large Language Model for the Mining Industry
par: Demartini, Kurukulasooriya Fernando ana Gianluca
Publié: (2024)

FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs
par: Choi, Eun Cheol, et autres
Publié: (2024)

Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checking
par: Russo, Daniel, et autres
Publié: (2024)

Query-Document Dense Vectors for LLM Relevance Judgment Bias Analysis
par: Mohtadi, Samaneh, et autres
Publié: (2026)

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
par: Tang, Liyan, et autres
Publié: (2024)

CaseFacts: A Benchmark for Legal Fact-Checking and Precedent Retrieval
par: Putta, Akshith Reddy, et autres
Publié: (2026)

TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking
par: Hang, Ching Nam, et autres
Publié: (2025)

How LLMs Fail to Support Fact-Checking
par: Proma, Adiba Mahbub, et autres
Publié: (2025)

Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
par: Singhal, Ronit, et autres
Publié: (2024)

InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
par: Bai, Yuzhuo, et autres
Publié: (2026)

Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
par: He, Gaole, et autres
Publié: (2025)

A Reality Check on Context Utilisation for Retrieval-Augmented Generation
par: Hagström, Lovisa, et autres
Publié: (2024)

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
par: Wang, Yuxia, et autres
Publié: (2024)

CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking
par: Chang, Rong-Ching, et autres
Publié: (2024)

Can LLMs Automate Fact-Checking Article Writing?
par: Sahnan, Dhruv, et autres
Publié: (2025)

FactSim: Fact-Checking for Opinion Summarization
par: Anghinoni, Leandro, et autres
Publié: (2026)

Give Me More Details: Improving Fact-Checking with Latent Retrieval
par: Hu, Xuming, et autres
Publié: (2023)

Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
par: Vazhentsev, Artem, et autres
Publié: (2026)

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
par: Sawczyn, Albert, et autres
Publié: (2025)