Cover Image

HOP to the Next Tasks and Domains for Continual Learning in NLP

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Michieli, Umberto, Ozay, Mete
Format:	Preprint
Published:	2024
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

K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
by: Shenaj, Donald, et al.
Published: (2025)

Clustering-driven Memory Compression for On-device Large Language Models
by: Bohdal, Ondrej, et al.
Published: (2026)

Efficient Compositional Multi-tasking for On-device Large Language Models
by: Bohdal, Ondrej, et al.
Published: (2025)

Feature-Space Generative Models for One-Shot Class-Incremental Learning
by: Foster, Jack, et al.
Published: (2026)

Data-driven Clustering and Merging of Adapters for On-device Large Language Models
by: Bohdal, Ondrej, et al.
Published: (2026)

Model Merging and Safety Alignment: One Bad Model Spoils the Bunch
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)

Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
by: Paramonov, Kirill, et al.
Published: (2025)

LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
by: Shenaj, Donald, et al.
Published: (2024)

DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching
by: Aiello, Emanuele, et al.
Published: (2024)

MOCHA: Multi-modal Objects-aware Cross-arcHitecture Alignment
by: Camuffo, Elena, et al.
Published: (2025)

On-device System of Compositional Multi-tasking in Large Language Models
by: Bohdal, Ondrej, et al.
Published: (2025)

LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models
by: Elesedy, Hayder, et al.
Published: (2024)

MemLoRA: Distilling Expert Adapters for On-Device Memory Systems
by: Bini, Massimo, et al.
Published: (2025)

Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition
by: Michieli, Umberto, et al.
Published: (2024)

A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization
by: Fish, Edward, et al.
Published: (2023)

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks
by: Hussain, Sajid, et al.
Published: (2025)

CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models
by: Hosseini, Peyman, et al.
Published: (2025)

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
by: Geng, Saibo, et al.
Published: (2023)

Continual Error Correction on Low-Resource Devices
by: Paramonov, Kirill, et al.
Published: (2025)

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2025)

Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains
by: Ali, Hafiz Tiomoko, et al.
Published: (2024)

MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks
by: Qi, Jingyuan, et al.
Published: (2023)

EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models
by: Dhaini, Mahdi, et al.
Published: (2025)

VNLP: Turkish NLP Package
by: Turker, Meliksah, et al.
Published: (2024)

Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search
by: Paramonov, Kirill, et al.
Published: (2024)

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
by: Yang, Kailai, et al.
Published: (2025)

DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning
by: Liao, Huanxuan, et al.
Published: (2025)

Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification
by: Li, Nan, et al.
Published: (2024)

Improving Academic Skills Assessment with NLP and Ensemble Learning
by: Huang, Xinyi, et al.
Published: (2024)

Bridging the Bosphorus: Advancing Turkish Large Language Models through Strategies for Low-Resource Language Adaptation and Benchmarking
by: Acikgoz, Emre Can, et al.
Published: (2024)

Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
by: Zhang, Lihong, et al.
Published: (2025)

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
by: Feng, Yu, et al.
Published: (2024)

Indian Legal NLP Benchmarks : A Survey
by: Kalamkar, Prathamesh, et al.
Published: (2021)

SG-UniBuc-NLP at SemEval-2026 Task 6: Multi-Head RoBERTa with Chunking for Long-Context Evasion Detection
by: Stefan, Gabriel, et al.
Published: (2026)

Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks
by: Seo, Minju, et al.
Published: (2024)

Named Entity Recognition for Payment Data Using NLP
by: Nayak, Srikumar
Published: (2026)

Does Differential Privacy Impact Bias in Pretrained NLP Models?
by: Islam, Md. Khairul, et al.
Published: (2024)

Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks
by: Soni, Nikita, et al.
Published: (2025)

uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
by: Sadeghi, Pouya, et al.
Published: (2024)

Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER
by: Zhu, Junyi, et al.
Published: (2025)