task interference

DivMerge: A divergence-based model merging method for multi-tasking EACL 2026 DuetMerging: Synergizing Dynamic and Static Strategies for Mitigating Task Interference in Model Merging CVPR 2026 ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts AAAI 2026 Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning ACL 2026 TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts CVPR 2026 BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning CVPR 2025 FREE-Merging: Fourier Transform for Efficient Model Merging ICCV 2025 FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025 Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance EMNLP 2025 STAR: Strategy-Aware Refinement Module in Multitask Learning for Emotional Support Conversations ACL 2025 Task Singular Vectors: Reducing Task Interference in Model Merging CVPR 2025 To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging EMNLP 2025 LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History EMNLP 2024 MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models NeurIPS 2024 Multimodal Instruction Tuning with Conditional Mixture of LoRA ACL 2024 Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE ICLR 2024 Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack NeurIPS 2024 Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives CVPR 2023 Task-Aware Information Routing from Common Representation Space in Lifelong Learning ICLR 2023 Continual Learning in Low-rank Orthogonal Subspaces NeurIPS 2020 Attentive Single-Tasking of Multiple Tasks CVPR 2019