Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment»
385 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- AraSentEval 2026: A Shared Task on Sentiment Analysis and Swapping in Arabic — 2026 · The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) with 5 Shared Tasks
- Codezone Research Group at AraSentEval Shared Task: Arabic Sentiment Swap beyond Negation Prepending, Benchmarking Multilingual T5 against Large Language Models on the MA''AKS Corpus — 2026 · The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) with 5 Shared Tasks
- Directed Attention is All You Need: Profiling Style from Limited Text Data — 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)
- Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
- Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and Trust — 2026 · Proceedings of The Big Picture v2: Crafting a Research Narrative
- Interpreting Style Representations via Style-Eliciting Prompts — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Language Modeling and Understanding Through Paraphrase Generation and Detection — 2026 · arXiv:2602.08274
- LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- MASH: Evading Black-Box AI-Generated Text Detectors via Style Humanization — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- MedHastra@DravidianLangTech 2026: Piecewise Style Classification for Telugu Prompt Recovery Using XLM-RoBERTa — 2026 · Proceedings of the Sixth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
- No Innocence in Styling: Discovery of Privacy Protection Capabilities and Security Risks in Consumer Generative AI Writing Assistants — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
- Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation — 2026 · arXiv:2602.15013
- Thesis Proposal: Comparing Human and Model Perception of Writing Style under Controlled Perturbations — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- A Decoupled Multi-Agent Framework for Complex Text Style Transfer — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Challenging Assumptions in Learning Generic Text Style Embeddings — 2025 · The Sixth Workshop on Insights from Negative Results in NLP
- Colloquial Singaporean English Style Transfer with Fine-Grained Explainable Control — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting — 2025 · arXiv:2503.06781
- Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics? — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
- How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations — 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping — 2025 · arXiv:2505.07888
- LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
- Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
- Let''s Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models'' Understanding of Sports — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- On the Impact of Noise in Differentially Private Text Rewriting — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models'' Knowledge of Indian Culture — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Style Knowledge Graph: Augmenting Text Style Transfer with Knowledge Graphs — 2025 · Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)
- A Survey of Text Style Transfer: Applications and Ethical Implications — 2024 · arXiv:2407.16737
- Action Controlled Paraphrasing — 2024 · arXiv:2405.11277
- An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- An LLM-Enhanced Adversarial Editing System for Lexical Simplification — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Bias in Large Language Models: Origin, Evaluation, and Mitigation — 2024 · arXiv:2411.10915
- Customized Style Transfer using Discrete Sampling — 2024 · Proceedings of the 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U)
- CycleGN: A Cycle Consistent Approach for Neural Machine Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
- DetoxLLM: A Framework for Detoxification with Explanations — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Distilling Text Style Transfer With Self-Explanation From LLMs — 2024 · arXiv:2403.01106
- EmoTransKG: An Innovative Emotion Knowledge Graph to Reveal Emotion Transformation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs — 2024 · Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024)
- Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Exploration of the CycleGN Framework for Low-Resource Languages — 2024 · Proceedings of the Ninth Conference on Machine Translation
- Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots — 2024 · arXiv:2403.08943
- LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Data — 2024 · arXiv:2410.20298
- Multi-Objective Linguistic Control of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Multilingual Text Style Transfer: Datasets & Models for Indian Languages — 2024 · arXiv:2405.20805
- PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer — 2024 · Proceedings of the 17th International Natural Language Generation Conference
- Reference-guided Style-Consistent Content Transfer — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Sequence-to-sequence and transformer approaches to Portuguese text style transfer — 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1
- Step-by-Step: Controlling Arbitrary Style in Text with Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Style Vectors for Steering Generative Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
- Style-Specific Neurons for Steering LLMs in Text Style Transfer — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Text Attribute Control via Closed-Loop Disentanglement — 2024 · Transactions of the Association for Computational Linguistics
- Text Style Transfer Evaluation Using Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Text Style Transfer: An Introductory Overview — 2024 · arXiv:2407.14822
- Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions — 2024 · arXiv:2402.13647
- A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
- A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising — 2023 · arXiv:2312.14708
- Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- COGEN: Abductive Commonsense Language Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Composable Text Controls in Latent Space with ODEs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Conversation Style Transfer using Few-Shot Learning — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Don''t Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation — 2023 · Transactions of the Association for Computational Linguistics
- Fluency Matters! Controllable Style Transfer with Syntax Guidance — 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
- Generating Summaries with Controllable Readability Levels — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- IC3: Image Captioning by Committee Consensus — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering — 2023 · arXiv:2311.06668
- Learning Disentangled Meaning and Style Representations for Positive Text Reframing — 2023 · Proceedings of the 16th International Natural Language Generation Conference
- Learning Interpretable Style Embeddings via Prompting LLMs — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Leveraging Low-resource Parallel Data for Text Style Transfer — 2023 · Proceedings of the 16th International Natural Language Generation Conference
- MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer — 2023 · arXiv:2306.07994
- Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts — 2023 · arXiv:2302.09155
- MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Multidimensional Evaluation for Text Style Transfer Using ChatGPT — 2023 · arXiv:2304.13462
- On Text Style Transfer via Style-Aware Masked Language Models — 2023 · Proceedings of the 16th International Natural Language Generation Conference
- Paraphrase Types for Generation and Detection — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Prefix-Tuning Based Unsupervised Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Prompt-Based Editing for Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- STEER: Unified Style Transfer with Expert Reinforcement — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Separating Context and Pattern: Learning Disentangled Sentence Representations for Low-Resource Extractive Summarization — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training — 2023 · arXiv:2309.10929
- StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Text Detoxification as Style Transfer in English and Hindi — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)