:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Mengying, Spitz, Andreas
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2410.17670
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Split and Rephrase with Large Language Models
by: Ponce, David, et al.
Published: (2023)

Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks
by: Chen, Zizhang, et al.
Published: (2024)

Chinese Spelling Correction as Rephrasing Language Model
by: Liu, Linfeng, et al.
Published: (2023)

WikiSplit++: Easy Data Refinement for Split and Rephrase
by: Tsukagoshi, Hayato, et al.
Published: (2024)

Rephrasing Electronic Health Records for Pretraining Clinical Language Models
by: Liu, Jinghui, et al.
Published: (2024)

DART: An AIGT Detector using AMR of Rephrased Text
by: Park, Hyeonchu, et al.
Published: (2024)

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
by: Maini, Pratyush, et al.
Published: (2024)

EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
by: Mekala, Rajasekhar Reddy, et al.
Published: (2023)

Rephrase and Contrast: Fine-Tuning Language Models for Enhanced Understanding of Communication and Computer Networks
by: Wang, Liujianfu, et al.
Published: (2024)

How Good is Post-Hoc Watermarking With Language Model Rephrasing?
by: Fernandez, Pierre, et al.
Published: (2025)

Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data
by: Schelb, Julian, et al.
Published: (2024)

Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts
by: Cai, Yuchen, et al.
Published: (2024)

TATRA: Training-Free Instance-Adaptive Prompting Through Rephrasing and Aggregation
by: Dziuba, Bartosz, et al.
Published: (2026)

Detecting Linguistic Diversity on Social Media
by: Wong, Sidney, et al.
Published: (2025)

RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models
by: Najafi, Saeed, et al.
Published: (2024)

RephraseTTS: Dynamic Length Text based Speech Insertion with Speaker Style Transfer
by: Matiyali, Neeraj, et al.
Published: (2025)

PERL: Pinyin Enhanced Rephrasing Language Model for Chinese ASR N-best Error Correction
by: Liang, Junhong, et al.
Published: (2024)

STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
by: Rastogi, Saksham, et al.
Published: (2025)

Benchmarking Linguistic Diversity of Large Language Models
by: Guo, Yanzhu, et al.
Published: (2024)

Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
by: Prasad, Archiki, et al.
Published: (2023)

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale
by: Liu, Jinghui, et al.
Published: (2026)

Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training
by: Pieler, Michael, et al.
Published: (2024)

R.U.Psycho? Robust Unified Psychometric Testing of Language Models
by: Schelb, Julian, et al.
Published: (2025)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
by: Lin, Jionghao, et al.
Published: (2024)

Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
by: Deng, Yihe, et al.
Published: (2023)

ChatGPT as Linguistic Equalizer? Quantifying LLM-Driven Lexical Shifts in Academic Writing
by: Lin, Dingkang, et al.
Published: (2025)

The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models
by: Sourati, Zhivar, et al.
Published: (2025)

Limited Linguistic Diversity in Embodied AI Datasets
by: Wanna, Selma, et al.
Published: (2026)

Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
by: Faulborn, Mats, et al.
Published: (2025)

The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
by: Guo, Yanzhu, et al.
Published: (2023)

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools
by: Lymperopoulos, Panagiotis, et al.
Published: (2025)

United States Politicians' Tone Became More Negative with 2016 Primary Campaigns
by: Külz, Jonathan, et al.
Published: (2022)

Linguistic and Argument Diversity in Synthetic Data for Function-Calling Agents
by: Greenstein, Dan, et al.
Published: (2026)

A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data Sets
by: Samardzic, Tanja, et al.
Published: (2024)

NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities
by: Mekki, Abdellah El, et al.
Published: (2025)

Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets
by: Xin, Wangjiaxuan, et al.
Published: (2025)

Learning Phonotactics from Linguistic Informants
by: Breiss, Canaan, et al.
Published: (2024)

UnMASKed: Quantifying Gender Biases in Masked Language Models through Linguistically Informed Job Market Prompts
by: Parra, Iñigo
Published: (2024)

Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs
by: Alwajih, Fakhraddin, et al.
Published: (2025)

NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish
by: Tomaszewska, Aleksandra, et al.
Published: (2025)