Copertina

FaaF: Facts as a Function for the evaluation of generated text

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Katranidis, Vasileios, Barany, Gabor
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Machine-generated text detection prevents language model collapse
di: Drayson, George, et al.
Pubblicazione: (2025)

Synthetically generated text for supervised text analysis
di: Halterman, Andrew
Pubblicazione: (2023)

CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists
di: Lee, Yukyung, et al.
Pubblicazione: (2024)

Performance of diverse evaluation metrics in NLP-based assessment and text generation of consumer complaints
di: Gao, Peiheng, et al.
Pubblicazione: (2025)

Qwen it detect machine-generated text?
di: Marchitan, Teodor-George, et al.
Pubblicazione: (2025)

RadEval: A framework for radiology text evaluation
di: Xu, Justin, et al.
Pubblicazione: (2025)

AI-generated text boundary detection with RoFT
di: Kushnareva, Laida, et al.
Pubblicazione: (2023)

Benchmark of stylistic variation in LLM-generated texts
di: Milička, Jiří, et al.
Pubblicazione: (2025)

Are generative AI text annotations systematically biased?
di: Stolwijk, Sjoerd B., et al.
Pubblicazione: (2025)

Rethinking Loss Functions for Fact Verification
di: Mukobara, Yuta, et al.
Pubblicazione: (2024)

VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation
di: Song, Yixiao, et al.
Pubblicazione: (2024)

Can professional translators identify machine-generated text?
di: Farrell, Michael
Pubblicazione: (2026)

Fact-checking AI-generated news reports: Can LLMs catch their own lies?
di: Yao, Jiayi, et al.
Pubblicazione: (2025)

FactSim: Fact-Checking for Opinion Summarization
di: Anghinoni, Leandro, et al.
Pubblicazione: (2026)

ChatGPT for President! Presupposed content in politicians versus GPT-generated texts
di: Garassino, Davide, et al.
Pubblicazione: (2025)

VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts
di: Liu, Xin, et al.
Pubblicazione: (2025)

Can postgraduate translation students identify machine-generated text?
di: Farrell, Michael
Pubblicazione: (2025)

Differentially-private text generation degrades output language quality
di: Çano, Erion, et al.
Pubblicazione: (2025)

ChronoFact: Timeline-based Temporal Fact Verification
di: Barik, Anab Maulana, et al.
Pubblicazione: (2024)

ChatGPT-generated texts show authorship traits that identify them as non-human
di: Dentella, Vittoria, et al.
Pubblicazione: (2025)

Comparing LLM-generated and human-authored news text using formal syntactic theory
di: Zamaraeva, Olga, et al.
Pubblicazione: (2025)

AIDetx: a compression-based method for identification of machine-learning generated text
di: Almeida, Leonardo, et al.
Pubblicazione: (2024)

LLM-based feature generation from text for interpretable machine learning
di: Balek, Vojtěch, et al.
Pubblicazione: (2024)

ReadCtrl: Personalizing text generation with readability-controlled instruction learning
di: Tran, Hieu, et al.
Pubblicazione: (2024)

Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records
di: Ziletti, Angelo, et al.
Pubblicazione: (2024)

Optimal word order for non-causal text generation with Large Language Models: the Spanish case
di: Busto-Castiñeira, Andrea, et al.
Pubblicazione: (2025)

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI
di: Lee, Junhyeong, et al.
Pubblicazione: (2025)

Tgea: An error-annotated dataset and benchmark tasks for text generation from pretrained language models
di: He, Jie, et al.
Pubblicazione: (2025)

Private prediction for large-scale synthetic text generation
di: Amin, Kareem, et al.
Pubblicazione: (2024)

From text to multimodal: a survey of adversarial example generation in question answering systems
di: Yigit, Gulsum, et al.
Pubblicazione: (2023)

Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checking
di: Russo, Daniel, et al.
Pubblicazione: (2024)

Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm
di: Mo, Yuhong, et al.
Pubblicazione: (2024)

FineDialFact: A benchmark for Fine-grained Dialogue Fact Verification
di: Chen, Xiangyan, et al.
Pubblicazione: (2025)

Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation
di: Macko, Dominik, et al.
Pubblicazione: (2025)

Stylometry recognizes human and LLM-generated texts in short samples
di: Przystalski, Karol, et al.
Pubblicazione: (2025)

Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion
di: Saynova, Denitsa, et al.
Pubblicazione: (2024)

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification
di: Gunjal, Anisha, et al.
Pubblicazione: (2024)

(Fact) Check Your Bias
di: Bakke, Eivind Morris, et al.
Pubblicazione: (2025)

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning
di: Tran, Hieu, et al.
Pubblicazione: (2025)

Humans can learn to detect AI-generated texts, or at least learn when they can't
di: Milička, Jiří, et al.
Pubblicazione: (2025)