Cover Image

Synthetically generated text for supervised text analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Halterman, Andrew
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What is a protest anyway? Codebook conceptualization is still a first-order concern in LLM-era classification
by: Halterman, Andrew, et al.
Published: (2025)

Codebook LLMs: Evaluating LLMs as Measurement Tools for Political Science Concepts
by: Halterman, Andrew, et al.
Published: (2024)

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

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

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

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

FaaF: Facts as a Function for the evaluation of generated text
by: Katranidis, Vasileios, et al.
Published: (2024)

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

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

Cropping outperforms dropout as an augmentation strategy for self-supervised training of text embeddings
by: González-Márquez, Rita, et al.
Published: (2025)

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

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

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

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

How do we measure privacy in text? A survey of text anonymization metrics
by: Ren, Yaxuan, et al.
Published: (2025)

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

CIDER: Context sensitive sentiment analysis for short-form text
by: Young, James C., et al.
Published: (2023)

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

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

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

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

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

Identifying social isolation themes in NVDRS text narratives using topic modeling and text-classification methods
by: Walker, Drew, et al.
Published: (2025)

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

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

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

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

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

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

Identifying attributions of causality in political text
by: Garcia-Corral, Paulina
Published: (2025)

LLMs can hide text in other text of the same length
by: Norelli, Antonio, et al.
Published: (2025)

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

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

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

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

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

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

LUQ: Long-text Uncertainty Quantification for LLMs
by: Zhang, Caiqi, et al.
Published: (2024)

Few-shot text-based emotion detection
by: Marchitan, Teodor-George, et al.
Published: (2025)

Transferable text data distillation by trajectory matching
by: Yao, Rong, et al.
Published: (2025)