Multi-Task Learning

MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic EMNLP 2024 Narrative Action Evaluation with Prompt-Guided Multimodal Interaction CVPR 2024 Parameter Competition Balancing for Model Merging NeurIPS 2024 Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability AAAI 2024 TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024 UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions NAACL 2024 A Multi-task Learning Framework for Quality Estimation ACL 2023 A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods EACL 2023 Batch Model Consolidation: A Multi-Task Model Consolidation Framework CVPR 2023 Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks CVPR 2023 Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning ACL 2023 Compositional Task Representations for Large Language Models ICLR 2023 Efficient Controllable Multi-Task Architectures ICCV 2023 Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News SemEval 2023 Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations ACL 2023 Language Anisotropic Cross-Lingual Model Editing ACL 2023 Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions CVPR 2023 Low-Rank Updates of pre-trained Weights for Multi-Task Learning ACL 2023 MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model AAAI 2023 Provably Efficient Lifelong Reinforcement Learning with Linear Representation ICLR 2023 Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis NeurIPS 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NeurIPS 2023 Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NeurIPS 2023 Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture IJCAI 2023 Simple Emergent Action Representations from Multi-Task Policy Training ICLR 2023