Image de couverture de livre

GRID: Scalable Task-Agnostic Prompt-Based Continual Learning for Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tiwari, Anushka, Pal, Sayantan, Srihari, Rohini K., Ji, Kaiyi
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning
par: Tiwari, Anushka, et autres
Publié: (2026)

Mitigating Clickbait: An Approach to Spoiler Generation Using Multitask Learning
par: Pal, Sayantan, et autres
Publié: (2024)

Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations
par: Pal, Sayantan, et autres
Publié: (2024)

Provable Effects of Data Replay in Continual Learning: A Feature Learning Perspective
par: Ding, Meng, et autres
Publié: (2026)

Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning
par: Zhao, Yuqing, et autres
Publié: (2024)

Is Prompt Selection Necessary for Task-Free Online Continual Learning?
par: Park, Seoyoung, et autres
Publié: (2026)

TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
par: Soures, Nicholas, et autres
Publié: (2024)

Task-conditioned Ensemble of Expert Models for Continuous Learning
par: Sharma, Renu, et autres
Publié: (2025)

Comparing Task-Agnostic Embedding Models for Tabular Data
par: Hoppe, Frederik, et autres
Publié: (2025)

Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
par: Ban, Hao, et autres
Publié: (2025)

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
par: Chung, Tsz Ting, et autres
Publié: (2024)

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases
par: Tiwari, Yash, et autres
Publié: (2025)

GRID: Graph-based Reasoning for Intervention and Discovery in Built Environments
par: Ehsan, Taqiya, et autres
Publié: (2025)

Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learning
par: Rostami, Mohammad, et autres
Publié: (2024)

On the Geometry of Reinforcement Learning in Continuous State and Action Spaces
par: Tiwari, Saket, et autres
Publié: (2022)

Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Models
par: Lv, Ang, et autres
Publié: (2024)

Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
par: Tiwari, Saket, et autres
Publié: (2025)

Discriminative Adversarial Unlearning
par: Sharma, Rohan, et autres
Publié: (2024)

TACENR: Task-Agnostic Contrastive Explanations for Node Representations
par: Papanikou, Vasiliki, et autres
Publié: (2026)

Routing-Based Continual Learning for Multimodal Large Language Models
par: Mohta, Jay, et autres
Publié: (2025)

CLIMB: Language-Guided Continual Learning for Task Planning with Iterative Model Building
par: Byrnes, Walker, et autres
Publié: (2024)

Prompt-Driven Continual Graph Learning
par: Wang, Qi, et autres
Publié: (2025)

Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
par: Fan, Chenyou, et autres
Publié: (2024)

Adaptive Variational Continual Learning via Task-Heuristic Modelling
par: Yang, Fan
Publié: (2024)

Task Agnostic Architecture for Algorithm Induction via Implicit Composition
par: Sindhi, Sahil J., et autres
Publié: (2024)

Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
par: Yang, Yupei, et autres
Publié: (2024)

HGMP:Heterogeneous Graph Multi-Task Prompt Learning
par: Jiao, Pengfei, et autres
Publié: (2025)

Scalable Prompt Routing via Fine-Grained Latent Task Discovery
par: Zhang, Yunyi, et autres
Publié: (2026)

GeFL: Model-Agnostic Federated Learning with Generative Models
par: Kang, Honggu, et autres
Publié: (2024)

Learning Model Agnostic Explanations via Constraint Programming
par: Koriche, Frederic, et autres
Publié: (2024)

Latent Domain Prompt Learning for Vision-Language Models
par: Li, Zhixing, et autres
Publié: (2025)

Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues
par: Saha, Sougata, et autres
Publié: (2024)

CRoSS: A Continual Robotic Simulation Suite for Scalable Reinforcement Learning with High Task Diversity and Realistic Physics Simulation
par: Denker, Yannick, et autres
Publié: (2026)

Reward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework
par: Deng, Yongxin, et autres
Publié: (2024)

Scalable Multi-Task Transfer Learning for Molecular Property Prediction
par: Lee, Chanhui, et autres
Publié: (2024)

UniPrompt-CL: Sustainable Continual Learning in Medical AI with Unified Prompt Pools
par: Oh, Gyutae, et autres
Publié: (2025)

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
par: Feng, Yu, et autres
Publié: (2024)

Energy-Based Models for Continual Learning
par: Li, Shuang, et autres
Publié: (2020)

Pref-GUIDE: Continual Policy Learning from Real-Time Human Feedback via Preference-Based Learning
par: Ji, Zhengran, et autres
Publié: (2025)

CycloneMAE: A Scalable Multi-Task Learning Model for Global Tropical Cyclone Probabilistic Forecasting
par: Hang, Renlong, et autres
Publié: (2026)