Copertina

Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Setty, Vinay
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LiveFC: A System for Live Fact-Checking of Audio Streams
di: V, Venktesh, et al.
Pubblicazione: (2024)

FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking
di: Setty, Vinay
Pubblicazione: (2024)

QuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications
di: Setty, Ritvik, et al.
Pubblicazione: (2024)

Annotation Tool and Dataset for Fact-Checking Podcasts
di: Setty, Vinay, et al.
Pubblicazione: (2025)

InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
di: Bai, Yuzhuo, et al.
Pubblicazione: (2026)

ClaimCheck: Real-Time Fact-Checking with Small Language Models
di: Putta, Akshith Reddy, et al.
Pubblicazione: (2025)

Application and Optimization of Large Models Based on Prompt Tuning for Fact-Check-Worthiness Estimation
di: Yu, Yinglong, et al.
Pubblicazione: (2025)

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
di: He, Jiayi, et al.
Pubblicazione: (2025)

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
di: Gong, Haisong, et al.
Pubblicazione: (2024)

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
di: Yang, Shuo, et al.
Pubblicazione: (2025)

Multimodal Large Language Models to Support Real-World Fact-Checking
di: Geng, Jiahui, et al.
Pubblicazione: (2024)

Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency
di: Wang, Haoran, et al.
Pubblicazione: (2026)

The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval
di: Alam, Firoj, et al.
Pubblicazione: (2025)

Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
di: Juneja, Gurusha, et al.
Pubblicazione: (2023)

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
di: Tang, Liyan, et al.
Pubblicazione: (2024)

ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims
di: Anik, Anirban Saha, et al.
Pubblicazione: (2025)

LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
di: Tran, Hieu, et al.
Pubblicazione: (2024)

TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking
di: Hang, Ching Nam, et al.
Pubblicazione: (2025)

QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
di: V, Venktesh, et al.
Pubblicazione: (2024)

One LLM to Train Them All: Multi-Task Learning Framework for Fact-Checking
di: Larsson, Malin Astrid, et al.
Pubblicazione: (2026)

How LLMs Fail to Support Fact-Checking
di: Proma, Adiba Mahbub, et al.
Pubblicazione: (2025)

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
di: Tao, Chaofan, et al.
Pubblicazione: (2024)

Evaluating Evidence Attribution in Generated Fact Checking Explanations
di: Xing, Rui, et al.
Pubblicazione: (2024)

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking
di: Vinod, Ashwin, et al.
Pubblicazione: (2026)

Can LLMs Automate Fact-Checking Article Writing?
di: Sahnan, Dhruv, et al.
Pubblicazione: (2025)

IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection
di: Aarnes, Peter Røysland, et al.
Pubblicazione: (2024)

Beyond QA Pairs: Assessing Parameter-Efficient Fine-Tuning for Fact Embedding in LLMs
di: Ratnakar, Shivam, et al.
Pubblicazione: (2025)

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
di: Fadeeva, Ekaterina, et al.
Pubblicazione: (2024)

Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models
di: Rahman, Subhey Sadi, et al.
Pubblicazione: (2025)

From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
di: Sundriyal, Megha, et al.
Pubblicazione: (2023)

CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
di: Zhang, Delvin Ce, et al.
Pubblicazione: (2025)

Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
di: Vazhentsev, Artem, et al.
Pubblicazione: (2026)

COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations
di: Xing, Rui, et al.
Pubblicazione: (2025)

Seamless Deception: Larger Language Models Are Better Knowledge Concealers
di: Ashok, Dhananjay, et al.
Pubblicazione: (2026)

Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Language
di: Muharram, Arief Purnama, et al.
Pubblicazione: (2024)

Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval models
di: Coelho, Bruno, et al.
Pubblicazione: (2025)

Overtrained Language Models Are Harder to Fine-Tune
di: Springer, Jacob Mitchell, et al.
Pubblicazione: (2025)

Memorization in Fine-Tuned Large Language Models
di: Savine, Danil
Pubblicazione: (2025)

Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
di: Warren, Greta, et al.
Pubblicazione: (2025)

Ta'keed: The First Generative Fact-Checking System for Arabic Claims
di: Althabiti, Saud, et al.
Pubblicazione: (2024)