{"total":59,"rows":[{"id":"2211.11695","title":"Disentangled Representation Learning","created":"2022-11-21","cited_by_count":112,"area":null},{"id":"2104.05489","title":"Continual Learning for Text Classification with Information Disentanglement Based Regularization","created":"2021-04-12","cited_by_count":86,"area":null},{"id":"2107.07150","title":"Tailor: Generating and Perturbing Text with Semantic Controls","created":"2021-07-15","cited_by_count":68,"area":null},{"id":"2101.10579","title":"Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs","created":"2021-01-26","cited_by_count":45,"area":null},{"id":"2101.00828","title":"Transformer-based Conditional Variational Autoencoder for Controllable Story Generation","created":"2021-01-04","cited_by_count":44,"area":null},{"id":"2105.02685","title":"A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations","created":"2021-05-06","cited_by_count":37,"area":null},{"id":"2203.10940","title":"Quality Controlled Paraphrase Generation","created":"2022-03-21","cited_by_count":31,"area":null},{"id":"2104.05115","title":"Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models","created":"2021-04-11","cited_by_count":22,"area":null},{"id":"2105.15053","title":"Factorising Meaning and Form for Intent-Preserving Paraphrasing","created":"2021-05-31","cited_by_count":22,"area":null},{"id":"2203.03463","title":"Hierarchical Sketch Induction for Paraphrase Generation","created":"2022-03-07","cited_by_count":22,"area":null},{"id":"2104.01371","title":"Convex Aggregation for Opinion Summarization","created":"2021-04-03","cited_by_count":21,"area":null},{"id":"2206.05395","title":"Why is constrained neural language generation particularly challenging?","created":"2022-06-11","cited_by_count":19,"area":null},{"id":"2301.11997","title":"Prompt-Based Editing for Text Style Transfer","created":"2023-01-27","cited_by_count":16,"area":null},{"id":"2106.00210","title":"Improving Formality Style Transfer with Context-Aware Rule Injection","created":"2021-06-01","cited_by_count":13,"area":null},{"id":"2109.00363","title":"ConRPG: Paraphrase Generation using Contexts as Regularizer","created":"2021-09-01","cited_by_count":13,"area":null},{"id":"2204.00511","title":"Learning Disentangled Representations of Negation and Uncertainty","created":"2022-04-01","cited_by_count":13,"area":null},{"id":"2310.19559","title":"Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning","created":"2023-10-30","cited_by_count":13,"area":"lr"},{"id":"2210.02898","title":"Learning Disentangled Representations for Natural Language Definitions","created":"2022-09-22","cited_by_count":12,"area":null},{"id":"2109.07713","title":"Transferable Persona-Grounded Dialogues via Grounded Minimal Edits","created":"2021-09-16","cited_by_count":10,"area":null},{"id":"2205.02309","title":"Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer","created":"2022-05-04","cited_by_count":7,"area":null},{"id":"2305.01713","title":"Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks","created":"2023-05-02","cited_by_count":6,"area":null},{"id":"2311.08579","title":"Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders","created":"2023-11-14","cited_by_count":6,"area":null},{"id":"2402.00723","title":"Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders","created":"2024-02-01","cited_by_count":6,"area":null},{"id":"2406.16563","title":"Are there identifiable structural parts in the sentence embedding whole?","created":"2024-06-24","cited_by_count":6,"area":null},{"id":"2503.00258","title":"Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text","created":"2025-03-01","cited_by_count":6,"area":null},{"id":"2103.13439","title":"StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands","created":"2021-03-24","cited_by_count":5,"area":null},{"id":"2110.15871","title":"From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey","created":"2021-10-29","cited_by_count":5,"area":null},{"id":"2206.11184","title":"Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles","created":"2022-06-22","cited_by_count":5,"area":null},{"id":"2210.06230","title":"Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder","created":"2022-10-12","cited_by_count":5,"area":null},{"id":"2305.14071","title":"Disentangled Variational Autoencoder for Emotion Recognition in Conversations","created":"2023-05-23","cited_by_count":5,"area":null},{"id":"2211.00881","title":"Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations","created":"2022-11-02","cited_by_count":4,"area":null},{"id":"2212.09670","title":"StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer","created":"2022-12-19","cited_by_count":4,"area":null},{"id":"2403.10214","title":"Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis","created":"2024-03-15","cited_by_count":4,"area":null},{"id":"2406.11391","title":"P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models","created":"2024-06-17","cited_by_count":4,"area":null},{"id":"2109.12457","title":"Learning to Selectively Learn for Weakly-supervised Paraphrase Generation","created":"2021-09-25","cited_by_count":3,"area":null},{"id":"2112.04195","title":"VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction","created":"2021-12-08","cited_by_count":3,"area":null},{"id":"2205.05943","title":"Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs","created":"2022-05-12","cited_by_count":3,"area":null},{"id":"2312.13208","title":"LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces","created":"2023-12-20","cited_by_count":3,"area":null},{"id":"2402.05310","title":"Dual-disentangled Deep Multiple Clustering","created":"2024-02-07","cited_by_count":3,"area":null},{"id":"2502.20681","title":"Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers","created":"2025-02-28","cited_by_count":3,"area":null},{"id":"2505.00004","title":"LangVAE and LangSpace: Building and Probing for Language Model VAEs","created":"2025-03-29","cited_by_count":3,"area":null},{"id":"2211.14923","title":"Unsupervised Opinion Summarisation in the Wasserstein Space","created":"2022-11-27","cited_by_count":2,"area":null},{"id":"2505.11822","title":"Robust Drone-View Geo-Localization via Content-Viewpoint Disentanglement","created":"2025-05-17","cited_by_count":2,"area":null},{"id":"2509.01606","title":"Testing the assumptions about the geometry of sentence embedding spaces: the cosine measure need not apply","created":"2025-09-01","cited_by_count":2,"area":null},{"id":"2106.03631","title":"Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets","created":"2021-06-07","cited_by_count":1,"area":null},{"id":"2211.07954","title":"An Overview on Controllable Text Generation via Variational Auto-Encoders","created":"2022-11-15","cited_by_count":1,"area":null},{"id":"2212.09450","title":"Accelerating Antimicrobial Peptide Discovery with Latent Structure","created":"2022-11-28","cited_by_count":1,"area":null},{"id":"2308.03581","title":"Towards Controllable Natural Language Inference through Lexical Inference Types","created":"2023-08-07","cited_by_count":1,"area":null},{"id":"2601.10107","title":"Enhancing Visual In-Context Learning by Multi-Faceted Fusion","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2205.06321","title":"Noun2Verb: Probabilistic frame semantics for word class conversion","created":"2022-05-12","cited_by_count":0,"area":null},{"id":"2305.02810","title":"Interpretable Sentence Representation with Variational Autoencoders and Attention","created":"2023-05-04","cited_by_count":0,"area":null},{"id":"2308.16584","title":"Unsupervised Text Style Transfer with Deep Generative Models","created":"2023-08-31","cited_by_count":0,"area":null},{"id":"2312.11272","title":"Disentangling continuous and discrete linguistic signals in transformer-based sentence embeddings","created":"2023-12-18","cited_by_count":0,"area":null},{"id":"2405.11277","title":"Action Controlled Paraphrasing","created":"2024-05-18","cited_by_count":0,"area":null},{"id":"2506.20083","title":"Bridging Compositional and Distributional Semantics: A Survey on Latent Semantic Geometry via AutoEncoder","created":"2025-06-25","cited_by_count":0,"area":"mechinterp"},{"id":"2509.23878","title":"Disentangling Score Content and Performance Style for Joint Piano Rendering and Transcription","created":"2025-09-28","cited_by_count":0,"area":null},{"id":"2510.01028","title":"Syntax-Guided Diffusion Language Models with User-Integrated Personalization","created":"2025-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2606.31074","title":"Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.17674","title":"Uncovering Latent Reasoning Strategies in Language Models","created":"2026-07-20","cited_by_count":0,"area":"lr"}],"next_cursor":null}