Learning Text Styles: A Study on Transfer, Attribution, and Verification | Paper Citation Record

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This paper cites Classification for authorship of tweets by com- paring logistic regression and naive bayes classifiers.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Classification for authorship of tweets by com- paring logistic regression and naive bayes classifiers

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This paper cites Intrinsic Dimensionality Ex- plains the Effectiveness of Language Model Fine-Tuning.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Intrinsic Dimensionality Ex- plains the Effectiveness of Language Model Fine-Tuning

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This paper cites The Topic Con- fusion Task: A Novel Evaluation Scenario for Authorship Attribution.

Learning Text Styles: A Study on Transfer, Attribution, and Verification The Topic Con- fusion Task: A Novel Evaluation Scenario for Authorship Attribution

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Neural Machine Translation by Jointly Learning to Align and Translate

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Mutual information neural estimation

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Generalizing unmasking for short texts

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Learning Text Styles: A Study on Transfer, Attribution, and Verification The Importance of Suppressing Domain Style in Authorship Analysis

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This paper cites PIQA: Reasoning about Physical Commonsense in Natural Lan- guage.

Learning Text Styles: A Study on Transfer, Attribution, and Verification PIQA: Reasoning about Physical Commonsense in Natural Lan- guage

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This paper cites Explainable authorship verification in social media via attention-based similarity learning.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Explainable authorship verification in social media via attention-based similarity learning

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Similarity learning for authorship verification in social media

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This paper cites Evaluating prose style transfer with the Bible.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Evaluating prose style transfer with the Bible

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Parameter-Efficient Fine-Tuning Design Spaces

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Adversarial text generation via feature-mover’s distance

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Learning Text Styles: A Study on Transfer, Attribution, and Verification A simple framework for contrastive learning of visual representations

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This paper cites Infogan: Interpretable representation learning by information maximiz- ing generative adversarial nets.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Infogan: Interpretable representation learning by information maximiz- ing generative adversarial nets

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Club: A contrastive log-ratio upper bound of mutual information

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Improving Disentangled Text Representation Learning with Information- Theoretic Guidance

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

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Learning Text Styles: A Study on Transfer, Attribution, and Verification BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

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This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

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This paper cites Training Verifiers to Solve Math Word Problems.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Training Verifiers to Solve Math Word Problems

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This paper cites Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

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This paper cites Plug and Play Language Models: A Simple Approach to Con- trolled Text Generation.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Plug and Play Language Models: A Simple Approach to Con- trolled Text Generation

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Lan- guage Understanding.

Learning Text Styles: A Study on Transfer, Attribution, and Verification BERT: Pre-training of Deep Bidirectional Transformers for Lan- guage Understanding

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Learning Text Styles: A Study on Transfer, Attribution, and Verification BERT: Pre-training of Deep Bidirectional Transformers for Lan- guage Understanding

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Learning Text Styles: A Study on Transfer, Attribution, and Verification BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites Learning stylometric representations for authorship analysis.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Learning stylometric representations for authorship analysis

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Learning Text Styles: A Study on Transfer, Attribution, and Verification KronA: Parameter Efficient Tuning with Kronecker Adapter

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This paper cites CharacterBERT: Reconciling ELMo and BERT for Word- Level Open-V ocabulary Representations From Characters.

Learning Text Styles: A Study on Transfer, Attribution, and Verification CharacterBERT: Reconciling ELMo and BERT for Word- Level Open-V ocabulary Representations From Characters

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Learning Text Styles: A Study on Transfer, Attribution, and Verification BertAA : BERT fine-tuning for Authorship Attribution

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Learning Text Styles: A Study on Transfer, Attribution, and Verification BertAA: BERT fine-tuning for Authorship Attribution

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This paper cites Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Style Transfer in Text: Exploration and Evaluation

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Style transfer in text: Exploration and evaluation

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Learning Text Styles: A Study on Transfer, Attribution, and Verification SimCSE: Simple Contrastive Learning of Sentence Embeddings

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Survey of the state of the art in natural language generation: Core tasks, applications and evaluation

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Learning Text Styles: A Study on Transfer, Attribution, and Verification A Neural Algorithm of Artistic Style

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This paper cites DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations.

Learning Text Styles: A Study on Transfer, Attribution, and Verification DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Reinforcement Learning Based Text Style Transfer without Par- allel Training Corpus

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Multi-Style Transfer with Discriminative Feedback on Disjoint Cor- pus

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Assessing the applicability of au- thorship verification methods

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Learning Text Styles: A Study on Transfer, Attribution, and Verification A Probabilistic Formulation of Unsupervised Text Style Transfer

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Towards a Unified View of Parameter-Efficient Transfer Learning

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Towards a Unified View of Parameter-Efficient Transfer Learning

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Momentum Contrast for Unsupervised Visual Representation Learn- ing

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Learning Text Styles: A Study on Transfer, Attribution, and Verification SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Data-Efficient Image Recognition with Contrastive Predictive Coding

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Compacter: Efficient low-rank hypercomplex adapter layers

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Authorship attribution with convolutional neural networks and POS-eliding

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Learning to solve arithmetic word problems with verb categorization

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Parameter-Efficient Transfer Learning for NLP

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Parameter-efficient transfer learning for NLP

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Generating natural language under pragmatic constraints

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Learning Text Styles: A Study on Transfer, Attribution, and Verification LoRA: Low-Rank Adaptation of Large Language Models

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Learning Text Styles: A Study on Transfer, Attribution, and Verification TDRLM: Stylometric learning for authorship verification by Topic- Debiasing

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Deepstyle: User style embedding for authorship attribution of short texts

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Learning Text Styles: A Study on Transfer, Attribution, and Verification LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Text style transfer: A review and experimental evaluation

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Toward controlled generation of text

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Can Large Language Models Identify Authorship?

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification

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Learning Text Styles: A Study on Transfer, Attribution, and Verification A novel approach of mining write-prints for authorship attribution in e-mail forensics

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Unsupervised controllable text formalization

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Categorical Reparameterization with Gumbel- Softmax

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Shakespearizing Modern Language Using Copy-Enriched Se- quence to Sequence Models

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Disentangled Representation Learning for Non-Parallel Text Style Transfer

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Are you robert or roberta? deceiving online authorship attribution models using neural text generators

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Supervised Contrastive Learning

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Large Language Models are Zero-Shot Reasoners

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Parsing algebraic word problems into equations

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Different Encoding Approaches for Au- thorship Verification

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Learning Text Styles: A Study on Transfer, Attribution, and Verification The Power of Scale for Parameter-Efficient Prompt Tuning

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Domain Adaptive Text Style Transfer

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Prefix-Tuning: Optimizing Continuous Prompts for Generation

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Quase: Sequence editing under quantifiable guidance

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Revision in Continuous Space: Fine-Grained Control of Text Style Transfer

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Learning Text Styles: A Study on Transfer, Attribution, and Verification RoBERTa: A Robustly Optimized BERT Pretraining Approach

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Learning Text Styles: A Study on Transfer, Attribution, and Verification A Novel Random Subspace Method for Online Writeprint Identification

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Learning Text Styles: A Study on Transfer, Attribution, and Verification A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

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Learning Text Styles: A Study on Transfer, Attribution, and Verification A dual reinforcement learning framework for unsupervised text style transfer

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Learning Text Styles: A Study on Transfer, Attribution, and Verification StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

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Learning Text Styles: A Study on Transfer, Attribution, and Verification PEFT: State-of-the-art Parameter-Efficient Fine-Tuning meth- ods

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Rethinking the Authorship Verification Experimental Setups

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Learning Text Styles: A Study on Transfer, Attribution, and Verification UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

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Learning Text Styles: A Study on Transfer, Attribution, and Verification A Computational Theory of Prose Style for Natural Language Generation

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Learning Text Styles: A Study on Transfer, Attribution, and Verification Sequence to better sequence: con- tinuous revision of combinatorial structures

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