Imagen de Portada

F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Junhong, Liu, Yuchen, Zong, Chengqing
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Self-Modifying State Modeling for Simultaneous Machine Translation
por: Yu, Donglei, et al.
Publicado: (2024)

Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation
por: Wu, Junhong, et al.
Publicado: (2024)

BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing
por: Wang, Chen, et al.
Publicado: (2023)

Language Imbalance Driven Rewarding for Multilingual Self-improving
por: Yang, Wen, et al.
Publicado: (2024)

Parallel Scaling Law: Unveiling Reasoning Generalization through A Cross-Linguistic Perspective
por: Yang, Wen, et al.
Publicado: (2025)

Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment
por: Yang, Wen, et al.
Publicado: (2025)

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
por: Yu, Donglei, et al.
Publicado: (2025)

BLSP-Emo: Towards Empathetic Large Speech-Language Models
por: Wang, Chen, et al.
Publicado: (2024)

Self-generated Replay Memories for Continual Neural Machine Translation
por: Resta, Michele, et al.
Publicado: (2024)

TokAlign: Efficient Vocabulary Adaptation via Token Alignment
por: Li, Chong, et al.
Publicado: (2025)

Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment
por: Li, Chong, et al.
Publicado: (2023)

Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation
por: Liang, Yupu, et al.
Publicado: (2025)

Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers
por: Qiu, Zihan, et al.
Publicado: (2024)

Pluggable Neural Machine Translation Models via Memory-augmented Adapters
por: Xu, Yuzhuang, et al.
Publicado: (2023)

Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing
por: Ye, Chunyu, et al.
Publicado: (2025)

Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models
por: Zhang, Yunhao, et al.
Publicado: (2024)

Improving MLLM's Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency
por: Liang, Yupu, et al.
Publicado: (2025)

SweetieChat: A Strategy-Enhanced Role-playing Framework for Diverse Scenarios Handling Emotional Support Agent
por: Ye, Jing, et al.
Publicado: (2024)

A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities
por: Xiang, Lu, et al.
Publicado: (2025)

From Generic Empathy to Personalized Emotional Support: A Self-Evolution Framework for User Preference Alignment
por: Ye, Jing, et al.
Publicado: (2025)

HTAM: Hierarchical Transition-Attended Memory for Operator Optimization
por: Zhang, Yining, et al.
Publicado: (2026)

EmoHarbor: Evaluating Personalized Emotional Support by Simulating the User's Internal World
por: Ye, Jing, et al.
Publicado: (2026)

Rethinking Targeted Adversarial Attacks For Neural Machine Translation
por: Wu, Junjie, et al.
Publicado: (2024)

MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities
por: Zhao, Xinpei, et al.
Publicado: (2024)

Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model
por: Li, Chong, et al.
Publicado: (2025)

Efficient Continual Learning in Neural Machine Translation: A Low-Rank Adaptation Approach
por: Carrión, Salvador, et al.
Publicado: (2025)

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation
por: Yu, Zhuang, et al.
Publicado: (2025)

MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Models
por: Zhang, Yunhao, et al.
Publicado: (2024)

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment
por: Li, Chong, et al.
Publicado: (2026)

Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison
por: Bouthors, Maxime, et al.
Publicado: (2024)

Syntax-Aware Complex-Valued Neural Machine Translation
por: Liu, Yang, et al.
Publicado: (2023)

On the Shortcut Learning in Multilingual Neural Machine Translation
por: Wang, Wenxuan, et al.
Publicado: (2024)

Deterministic Reversible Data Augmentation for Neural Machine Translation
por: Yao, Jiashu, et al.
Publicado: (2024)

Listen, Correct, and Feed Back: Spoken Pedagogical Feedback Generation
por: Liang, Junhong, et al.
Publicado: (2026)

Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation
por: Liao, Yusheng, et al.
Publicado: (2024)

Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation
por: Wang, Hao, et al.
Publicado: (2024)

The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation
por: Tokarchuk, Evgeniia, et al.
Publicado: (2023)

The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation
por: He, Jie, et al.
Publicado: (2025)

Discovering Semantic Subdimensions through Disentangled Conceptual Representations
por: Zhang, Yunhao, et al.
Publicado: (2025)

TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification
por: Zhu, Junnan, et al.
Publicado: (2025)