Cover Image

LM-mixup: Text Data Augmentation via Language Model based Mixup

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deng, Zhijie, Shen, Zhouan, Li, Ling, Zhou, Yao, Zhu, Zhaowei, He, Yanji, Wang, Wei, Wei, Jiaheng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification
by: Pang, Zirui, et al.
Published: (2025)

inversedMixup: Data Augmentation via Inverting Mixed Embeddings
by: Kong, Fanshuang, et al.
Published: (2026)

OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
by: Zheng, Hao, et al.
Published: (2025)

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection
by: Deng, Zhijie, et al.
Published: (2025)

ENTP: Enhancing Low-Quality SFT Data via Neural-Symbolic Text Purge-Mix
by: Yang, Zile, et al.
Published: (2025)

Label Smoothing Improves Gradient Ascent in LLM Unlearning
by: Pang, Zirui, et al.
Published: (2025)

Improving Data Efficiency via Curating LLM-Driven Rating Systems
by: Pang, Jinlong, et al.
Published: (2024)

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
by: Zhou, Ying, et al.
Published: (2024)

Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
by: Pang, Jinlong, et al.
Published: (2025)

ZeroLM: Data-Free Transformer Architecture Search for Language Models
by: Chen, Zhen-Song, et al.
Published: (2025)

CAARMA: Class Augmentation with Adversarial Mixup Regularization
by: Baali, Massa, et al.
Published: (2025)

LegiLM: A Fine-Tuned Legal Language Model for Data Compliance
by: Zhu, Linkai, et al.
Published: (2024)

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models
by: Li, Haoran, et al.
Published: (2023)

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models
by: Chen, Zirui, et al.
Published: (2025)

InternLM-Law: An Open Source Chinese Legal Large Language Model
by: Fei, Zhiwei, et al.
Published: (2024)

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
by: Xiao, Yuxin, et al.
Published: (2024)

Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization
by: Wang, Zihan, et al.
Published: (2024)

Progressive Document-level Text Simplification via Large Language Models
by: Fang, Dengzhao, et al.
Published: (2025)

Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
by: Li, Mengyu, et al.
Published: (2024)

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model
by: Dong, Xiaoyi, et al.
Published: (2024)

PonderLM: Pretraining Language Models to Ponder in Continuous Space
by: Zeng, Boyi, et al.
Published: (2025)

ControlLM: Crafting Diverse Personalities for Language Models
by: Weng, Yixuan, et al.
Published: (2024)

Aligning Large Language Models via Fully Self-Synthetic Data
by: Yin, Shangjian, et al.
Published: (2025)

CogLM: Tracking Cognitive Development of Large Language Models
by: Wang, Xinglin, et al.
Published: (2024)

Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models
by: Zhao, Juntu, et al.
Published: (2024)

CLLMs: Consistency Large Language Models
by: Kou, Siqi, et al.
Published: (2024)

HeLM: Highlighted Evidence augmented Language Model for Enhanced Table-to-Text Generation
by: Bian, Junyi, et al.
Published: (2023)

Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
by: Cao, Han, et al.
Published: (2025)

Construction of Knowledge Graph based on Language Model
by: Zhu, Qiubai, et al.
Published: (2026)

DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models
by: Zhao, Ranchi, et al.
Published: (2024)

Simulating Financial Market via Large Language Model based Agents
by: Gao, Shen, et al.
Published: (2024)

IDEA: An Interpretable and Editable Decision-Making Framework for LLMs via Verbal-to-Numeric Calibration
by: He, Yanji, et al.
Published: (2026)

DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation
by: Maekawa, Aru, et al.
Published: (2024)

FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding
by: Deng, Jingyang, et al.
Published: (2024)

MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages
by: Lombard, Anri, et al.
Published: (2026)

DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models
by: Jiao, Cathy, et al.
Published: (2025)

CodecLM: Aligning Language Models with Tailored Synthetic Data
by: Wang, Zifeng, et al.
Published: (2024)

ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models
by: Anugraha, David, et al.
Published: (2024)

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
by: Zhu, Zhaowei, et al.
Published: (2023)

Replicating ReLM Results: Validating Large Language Models with ReLM
by: Adamson, Reece, et al.
Published: (2025)