Multi-Task Learning

Bridging Lifelong and Multi-Task Representation Learning: An Algorithm and a Complexity Measure ALT 2026 CCNU at SemEval-2026 Task 10: Conspiracy Marker Extraction and Detection via Multi-task Learning and LLM-based Data Augmentation SemEval 2026 Evolutionary Negative Module Pruning for Better LoRA Merging ACL 2026 MECH: A Cost-Effective Multi-Task Cascade Framework for Classroom Opinion Evolution Recognition ACL 2026 Multi-Task Representation Alignment on Language Understanding: A Mutual Information Perspective ACL 2026 UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation CVPR 2026 VGU-M.Tech-AI at SemEval-2026: Multilingual Multi-Label Classification of Online Polarization Types via Weighted Transformer Fine-Tuning and Adaptive Per-Label Threshold Optimization SemEval 2026 An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding AAAI 2025 Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models EMNLP 2025 Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation EMNLP 2025 FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization ICCV 2025 Generalizable Cross-Lingual Cognitive Distortion Detection with Standardized Annotations and Multi-Task Learning ACL 2025 MUNBa: Machine Unlearning via Nash Bargaining ICCV 2025 QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing ICLR 2025 SEE: Continual Fine-tuning with Sequential Ensemble of Experts ACL 2025 Supervised Learning with Evolving Tasks and Performance Guarantees JMLR 2025 Training-free LLM Merging for Multi-task Learning ACL 2025 UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing ICCV 2025 AV-RIR: Audio-Visual Room Impulse Response Estimation CVPR 2024 BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks EMNLP 2024 Biologically Inspired Learning Model for Instructed Vision NeurIPS 2024 Continual Relation Extraction via Sequential Multi-Task Learning AAAI 2024 DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024 Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention EMNLP 2024 Improving Sign Language Production in the Healthcare Domain Using UMLS and Multi-task Learning COLING 2024