Cover Image

Self-training from Self-memory in Data-to-text Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ta, Hoang-Thang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks
by: Ta, Hoang-Thang
Published: (2024)

Utilize Transformers for translating Wikipedia category names
by: Ta, Hoang-Thang, et al.
Published: (2024)

AF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning
by: Ta, Hoang-Thang, et al.
Published: (2025)

ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents
by: Ta, Hoang-Thang, et al.
Published: (2024)

DepressionEmo: A novel dataset for multilabel classification of depression emotions
by: Rahman, Abu Bakar Siddiqur, et al.
Published: (2024)

A Comparative Study of Pre-training and Self-training
by: Wang, Yiheng, et al.
Published: (2024)

FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
by: Ta, Hoang-Thang, et al.
Published: (2024)

Think Twice, Generate Once: Safeguarding by Progressive Self-Reflection
by: Phan, Hoang, et al.
Published: (2025)

Self-evolving Agents with reflective and memory-augmented abilities
by: Liang, Xuechen, et al.
Published: (2024)

Prompting-based Synthetic Data Generation for Few-Shot Question Answering
by: Schmidt, Maximilian, et al.
Published: (2024)

Innovations in Neural Data-to-text Generation: A Survey
by: Sharma, Mandar, et al.
Published: (2022)

Progress or Regress? Self-Improvement Reversal in Post-training
by: Wu, Ting, et al.
Published: (2024)

Collapse of Self-trained Language Models
by: Herel, David, et al.
Published: (2024)

Self-training Strategies for Sentiment Analysis: An Empirical Study
by: Liu, Haochen, et al.
Published: (2023)

RecGPT: Generative Pre-training for Text-based Recommendation
by: Ngo, Hoang, et al.
Published: (2024)

Post-training an LLM for RAG? Train on Self-Generated Demonstrations
by: Finlayson, Matthew, et al.
Published: (2025)

Self-training Large Language Models through Knowledge Detection
by: Yeo, Wei Jie, et al.
Published: (2024)

Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency
by: Gee, Leonidas, et al.
Published: (2024)

A Unified Understanding of Offline Data Selection and Online Self-refining Generation for Post-training LLMs
by: Xiao, Quan, et al.
Published: (2025)

Self-training Language Models for Arithmetic Reasoning
by: Kadlčík, Marek, et al.
Published: (2024)

Source-Free Domain Adaptation for Question Answering with Masked Self-training
by: Yin, M., et al.
Published: (2022)

Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering
by: Tilli, Pascal, et al.
Published: (2024)

Self-Compositional Data Augmentation for Scientific Keyphrase Generation
by: Houbre, Mael, et al.
Published: (2024)

The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
by: Hamed, Injy, et al.
Published: (2025)

Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM
by: Zhang, Ruohong, et al.
Published: (2023)

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
by: Liu, Zhiqiang, et al.
Published: (2025)

Self-Infilling Code Generation
by: Zheng, Lin, et al.
Published: (2023)

Scrambled text: training Language Models to correct OCR errors using synthetic data
by: Bourne, Jonathan
Published: (2024)

Audio-visual training for improved grounding in video-text LLMs
by: Sagare, Shivprasad, et al.
Published: (2024)

MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining
by: Huy, Phung Gia, et al.
Published: (2026)

Sparks of Science: Hypothesis Generation Using Structured Paper Data
by: O'Neill, Charles, et al.
Published: (2025)

Dynamic Noise Preference Optimization: Self-Improvement of Large Language Models with Self-Synthetic Data
by: Yang, Haoyan, et al.
Published: (2025)

Self-Reflective Generation at Test Time
by: Mu, Jian, et al.
Published: (2025)

MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems
by: Wang, Kun, et al.
Published: (2025)

Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
by: Tu, Lifu, et al.
Published: (2024)

SGPO: Self-Generated Preference Optimization based on Self-Improver
by: Lee, Hyeonji, et al.
Published: (2025)

Improving noisy student training for low-resource languages in End-to-End ASR using CycleGAN and inter-domain losses
by: Li, Chia-Yu, et al.
Published: (2024)

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

CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
by: Lamsal, Rabindra, et al.
Published: (2023)

Cropping outperforms dropout as an augmentation strategy for self-supervised training of text embeddings
by: González-Márquez, Rita, et al.
Published: (2025)