cross-task generalization

CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026 UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation CVPR 2026 Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning NAACL 2025 Cross-Task Generalization Abilities of Large Language Models NAACL 2024 From Instance Training to Instruction Learning: Task Adapters Generation from Instructions NeurIPS 2024 HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024 Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization EMNLP 2024 MedINST: Meta Dataset of Biomedical Instructions EMNLP 2024 Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024 Toward Zero-Shot Instruction Following EACL 2024 Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks EMNLP 2023 Differentiable Instruction Optimization for Cross-Task Generalization ACL 2023 Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations ACL 2023 Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? ACL 2023 Multi-Head Adapter Routing for Cross-Task Generalization NeurIPS 2023 UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation EMNLP 2023 Cross-Task Generalization via Natural Language Crowdsourcing Instructions ACL 2022 Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization EMNLP 2022 Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks EMNLP 2022 Unsupervised Cross-Task Generalization via Retrieval Augmentation NeurIPS 2022 CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP EMNLP 2021 Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models EACL 2021