Can postgraduate translation students identify machine-generated text?
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Farrell, Michael |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Can professional translators identify machine-generated text?
par: Farrell, Michael
Publié: (2026)
par: Farrell, Michael
Publié: (2026)
Benchmark of stylistic variation in LLM-generated texts
par: Milička, Jiří, et autres
Publié: (2025)
par: Milička, Jiří, et autres
Publié: (2025)
Are generative AI text annotations systematically biased?
par: Stolwijk, Sjoerd B., et autres
Publié: (2025)
par: Stolwijk, Sjoerd B., et autres
Publié: (2025)
Toward domain-specific machine translation and quality estimation systems
par: Sharami, Javad Pourmostafa Roshan
Publié: (2026)
par: Sharami, Javad Pourmostafa Roshan
Publié: (2026)
Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English
par: Zhang, Yue, et autres
Publié: (2026)
par: Zhang, Yue, et autres
Publié: (2026)
Differentially-private text generation degrades output language quality
par: Çano, Erion, et autres
Publié: (2025)
par: Çano, Erion, et autres
Publié: (2025)
Investigating the potential of Sparse Mixtures-of-Experts for multi-domain neural machine translation
par: Chirkova, Nadezhda, et autres
Publié: (2024)
par: Chirkova, Nadezhda, et autres
Publié: (2024)
ReadCtrl: Personalizing text generation with readability-controlled instruction learning
par: Tran, Hieu, et autres
Publié: (2024)
par: Tran, Hieu, et autres
Publié: (2024)
The power of text similarity in identifying AI-LLM paraphrased documents: The case of BBC news articles and ChatGPT
par: Xylogiannopoulos, Konstantinos, et autres
Publié: (2025)
par: Xylogiannopoulos, Konstantinos, et autres
Publié: (2025)
Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation
par: Macko, Dominik, et autres
Publié: (2025)
par: Macko, Dominik, et autres
Publié: (2025)
MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning
par: Tran, Hieu, et autres
Publié: (2025)
par: Tran, Hieu, et autres
Publié: (2025)
Humans can learn to detect AI-generated texts, or at least learn when they can't
par: Milička, Jiří, et autres
Publié: (2025)
par: Milička, Jiří, et autres
Publié: (2025)
From text to multimodal: a survey of adversarial example generation in question answering systems
par: Yigit, Gulsum, et autres
Publié: (2023)
par: Yigit, Gulsum, et autres
Publié: (2023)
Ukrainian-to-English folktale corpus: Parallel corpus creation and augmentation for machine translation in low-resource languages
par: Burda-Lassen, Olena
Publié: (2024)
par: Burda-Lassen, Olena
Publié: (2024)
Exploring how EFL students talk to and through AI to develop texts
par: Woo, David James, et autres
Publié: (2026)
par: Woo, David James, et autres
Publié: (2026)
Auto prompt sql: a resource-efficient architecture for text-to-sql translation in constrained environments
par: Tang, Zetong, et autres
Publié: (2025)
par: Tang, Zetong, et autres
Publié: (2025)
Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection
par: Miralles-González, Pablo, et autres
Publié: (2025)
par: Miralles-González, Pablo, et autres
Publié: (2025)
Stylometry recognizes human and LLM-generated texts in short samples
par: Przystalski, Karol, et autres
Publié: (2025)
par: Przystalski, Karol, et autres
Publié: (2025)
Ensemble BERT: A student social network text sentiment classification model based on ensemble learning and BERT architecture
par: Jiang, Kai, et autres
Publié: (2024)
par: Jiang, Kai, et autres
Publié: (2024)
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification
par: Chung, Pei-Hung, et autres
Publié: (2024)
par: Chung, Pei-Hung, et autres
Publié: (2024)
<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs
par: Pletenev, Sergey, et autres
Publié: (2025)
par: Pletenev, Sergey, et autres
Publié: (2025)
People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text
par: Russell, Jenna, et autres
Publié: (2025)
par: Russell, Jenna, et autres
Publié: (2025)
Kill two birds with one stone: generalized and robust AI-generated text detection via dynamic perturbations
par: Zhou, Yinghan, et autres
Publié: (2025)
par: Zhou, Yinghan, et autres
Publié: (2025)
Can pre-trained language models generate titles for research papers?
par: Rehman, Tohida, et autres
Publié: (2024)
par: Rehman, Tohida, et autres
Publié: (2024)
Can reasoning models comprehend mathematical problems in Chinese ancient texts? An empirical study based on data from Suanjing Shishu
par: Liu, Chang, et autres
Publié: (2025)
par: Liu, Chang, et autres
Publié: (2025)
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
par: Novoa-Paradela, David, et autres
Publié: (2023)
par: Novoa-Paradela, David, et autres
Publié: (2023)
Child vs. machine language learning: Can the logical structure of human language unleash LLMs?
par: Sauerland, Uli, et autres
Publié: (2025)
par: Sauerland, Uli, et autres
Publié: (2025)
Can machines perform a qualitative data analysis? Reading the debate with Alan Turing
par: De Paoli, Stefano
Publié: (2025)
par: De Paoli, Stefano
Publié: (2025)
Abusive text transformation using LLMs
par: Chandra, Rohitash, et autres
Publié: (2025)
par: Chandra, Rohitash, et autres
Publié: (2025)
Evil twins are not that evil: Qualitative insights into machine-generated prompts
par: Rakotonirina, Nathanaël Carraz, et autres
Publié: (2024)
par: Rakotonirina, Nathanaël Carraz, et autres
Publié: (2024)
When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets?
par: Iyer, Srikrishna
Publié: (2024)
par: Iyer, Srikrishna
Publié: (2024)
LLMs can hide text in other text of the same length
par: Norelli, Antonio, et autres
Publié: (2025)
par: Norelli, Antonio, et autres
Publié: (2025)
PAGE: Prompt Augmentation for text Generation Enhancement
par: Pacchiotti, Mauro Jose, et autres
Publié: (2025)
par: Pacchiotti, Mauro Jose, et autres
Publié: (2025)
Serialized EHR make for good text representations
par: Chou, Zhirong, et autres
Publié: (2025)
par: Chou, Zhirong, et autres
Publié: (2025)
UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translation
par: Dipta, Shubhashis Roy, et autres
Publié: (2024)
par: Dipta, Shubhashis Roy, et autres
Publié: (2024)
Beyond checkmate: exploring the creative chokepoints in AI text
par: Tripto, Nafis Irtiza, et autres
Publié: (2025)
par: Tripto, Nafis Irtiza, et autres
Publié: (2025)
Large language models struggle with ethnographic text annotation
par: Goodall, Leonardo S., et autres
Publié: (2026)
par: Goodall, Leonardo S., et autres
Publié: (2026)
VNJPTranslate: A comprehensive pipeline for Vietnamese-Japanese translation
par: Phan, Hoang Hai, et autres
Publié: (2025)
par: Phan, Hoang Hai, et autres
Publié: (2025)
Can generative AI figure out figurative language? The influence of idioms on essay scoring by ChatGPT, Gemini, and Deepseek
par: Oğuz, Enis
Publié: (2025)
par: Oğuz, Enis
Publié: (2025)
Can AI Be as Creative as Humans?
par: Wang, Haonan, et autres
Publié: (2024)
par: Wang, Haonan, et autres
Publié: (2024)
Documents similaires
-
Can professional translators identify machine-generated text?
par: Farrell, Michael
Publié: (2026) -
Benchmark of stylistic variation in LLM-generated texts
par: Milička, Jiří, et autres
Publié: (2025) -
Are generative AI text annotations systematically biased?
par: Stolwijk, Sjoerd B., et autres
Publié: (2025) -
Toward domain-specific machine translation and quality estimation systems
par: Sharami, Javad Pourmostafa Roshan
Publié: (2026) -
Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English
par: Zhang, Yue, et autres
Publié: (2026)