Cover Image

Sequence-to-Sequence Spanish Pre-trained Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Araujo, Vladimir, Trusca, Maria Mihaela, Tufiño, Rodrigo, Moens, Marie-Francine
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
by: Araujo, Vladimir, et al.
Published: (2024)

Reduction of Supervision for Biomedical Knowledge Discovery
by: Theodoropoulos, Christos, et al.
Published: (2025)

Learning to Plan Long-Term for Language Modeling
by: Mai, Florian, et al.
Published: (2024)

SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation
by: He, Liang, et al.
Published: (2024)

Learning to Plan for Language Modeling from Unlabeled Data
by: Cornille, Nathan, et al.
Published: (2024)

Investigating Data Contamination for Pre-training Language Models
by: Jiang, Minhao, et al.
Published: (2024)

Aligning Pre-trained Models for Spoken Language Translation
by: Sedláček, Šimon, et al.
Published: (2024)

Sequences of Logits Reveal the Low Rank Structure of Language Models
by: Golowich, Noah, et al.
Published: (2025)

FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation--Full Version
by: Nguyen-Cong, Dat, et al.
Published: (2026)

From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP
by: Ganesan, Adithya V, et al.
Published: (2026)

Integrating Pre-trained Language Model into Neural Machine Translation
by: Hwang, Soon-Jae, et al.
Published: (2023)

Sequence-level Large Language Model Training with Contrastive Preference Optimization
by: Feng, Zhili, et al.
Published: (2025)

Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
by: Chuang, Yun-Yen, et al.
Published: (2024)

Sparse is Enough in Fine-tuning Pre-trained Large Language Models
by: Song, Weixi, et al.
Published: (2023)

Simple and Scalable Strategies to Continually Pre-train Large Language Models
by: Ibrahim, Adam, et al.
Published: (2024)

Pre-training Limited Memory Language Models with Internal and External Knowledge
by: Zhao, Linxi, et al.
Published: (2025)

Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
by: Lan, Michael, et al.
Published: (2023)

Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasks
by: Fauber, Ben
Published: (2024)

Language Bottleneck Models for Qualitative Knowledge State Modeling
by: Berthon, Antonin, et al.
Published: (2025)

Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
by: Borchert, Philipp, et al.
Published: (2025)

Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
by: Samragh, Mohammad, et al.
Published: (2024)

HyperMLP: An Integrated Perspective for Sequence Modeling
by: Lu, Jiecheng, et al.
Published: (2026)

Native Hybrid Attention for Efficient Sequence Modeling
by: Du, Jusen, et al.
Published: (2025)

Multiscale Byte Language Models -- A Hierarchical Architecture for Causal Million-Length Sequence Modeling
by: Egli, Eric, et al.
Published: (2025)

HiFloat4 Format for Language Model Pre-training on Ascend NPUs
by: Taghian, Mehran, et al.
Published: (2026)

CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model
by: Chiang, Shang-Hsuan, et al.
Published: (2024)

Clip Your Sequences Fairly: Enforcing Length Fairness for Sequence-Level RL
by: Mao, Hanyi, et al.
Published: (2025)

MOM: Memory-Efficient Offloaded Mini-Sequence Inference for Long Context Language Models
by: Zhang, Junyang, et al.
Published: (2025)

How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities
by: Huang, Jerry
Published: (2024)

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
by: Xia, Mengzhou, et al.
Published: (2023)

Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
by: Yang, Yu, et al.
Published: (2024)

ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
by: Chen, Tong, et al.
Published: (2025)

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models
by: Mackraz, Natalie, et al.
Published: (2024)

MoM: Linear Sequence Modeling with Mixture-of-Memories
by: Du, Jusen, et al.
Published: (2025)

To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
by: Barbulescu, George-Octavian, et al.
Published: (2024)

Group Sequence Policy Optimization
by: Zheng, Chujie, et al.
Published: (2025)

End-to-end Planner Training for Language Modeling
by: Cornille, Nathan, et al.
Published: (2024)

DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images
by: Trusca, Maria Mihaela, et al.
Published: (2024)

Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
by: Sakai, Yusuke, et al.
Published: (2023)

MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models
by: Rakotonirina, Nathanaël Carraz, et al.
Published: (2024)