Cover Image

<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pletenev, Sergey, Moskovskiy, Daniil, Panchenko, Alexander
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators
by: Moskovskiy, Daniil, et al.
Published: (2025)

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

How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
by: Pletenev, Sergey, et al.
Published: (2025)

How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and Consistency
by: Zheng, Danna, et al.
Published: (2024)

Scaling up the think-aloud method
by: Wurgaft, Daniel, et al.
Published: (2025)

Do not think about pink elephant!
by: Hwang, Kyomin, et al.
Published: (2024)

LLM should think and action as a human
by: Leung, Haun, et al.
Published: (2025)

Evolutionary Search for Automated Design of Uncertainty Quantification Methods
by: Seleznyov, Mikhail, et al.
Published: (2026)

Multilingual and Explainable Text Detoxification with Parallel Corpora
by: Dementieva, Daryna, et al.
Published: (2024)

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
by: Wan, Ziyu, 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)

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

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems
by: Min, Yingqian, et al.
Published: (2024)

MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages
by: Dementieva, Daryna, et al.
Published: (2024)

S3: A Simple Strong Sample-effective Multimodal Dialog System
by: Rykov, Elisei, et al.
Published: (2024)

StyleBench: Evaluating thinking styles in Large Language Models
by: Guo, Junyu, et al.
Published: (2025)

When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
by: Seleznyov, Mikhail, et al.
Published: (2025)

AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation
by: Li, Fengyu, et al.
Published: (2025)

SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection
by: Rykov, Elisei, et al.
Published: (2024)

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

People will agree what I think: Investigating LLM's False Consensus Effect
by: Choi, Junhyuk, et al.
Published: (2024)

MERA: A Comprehensive LLM Evaluation in Russian
by: Fenogenova, Alena, et al.
Published: (2024)

Abusive text transformation using LLMs
by: Chandra, Rohitash, et al.
Published: (2025)

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)

Benchmarking Concept-Spilling Across Languages in LLMs
by: Badanin, Ilia, et al.
Published: (2026)

Detection of tortured phrases in scientific literature
by: Martel, Eléna, et al.
Published: (2024)

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
by: Gor, Maharshi, et al.
Published: (2024)

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

Are LLMs classical or nonmonotonic reasoners? Lessons from generics
by: Leidinger, Alina, et al.
Published: (2024)

System 2 thinking in OpenAI's o1-preview model: Near-perfect performance on a mathematics exam
by: de Winter, Joost, et al.
Published: (2024)

Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators
by: Bajpai, Prasoon, et al.
Published: (2024)

Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
by: Gurgurov, Daniil, et al.
Published: (2024)

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)

SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
by: Chekalina, Viktoriia, et al.
Published: (2024)

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation
by: Qian, Shun, et al.
Published: (2026)

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

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

ARC-Encoder: learning compressed text representations for large language models
by: Pilchen, Hippolyte, et al.
Published: (2025)