multi-task fine-tuning

UMUSP at SemEval-2026 Task 9: Mitigating Cross-Lingual Interference via Selective Multilingual and Multitask Specialization SemEval 2026 Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning ICML 2025 Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data AAAI 2025 DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery NAACL 2025 DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations CVPR 2025 Learn Together: Joint Multitask Finetuning of Pretrained KG-enhanced LLM for Downstream Tasks COLING 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning ACL 2025 ALF at SemEval-2024 Task 9: Exploring Lateral Thinking Capabilities of LMs through Multi-task Fine-tuning SemEval 2024 Human-oriented Representation Learning for Robotic Manipulation RSS 2024 Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning ICML 2024 MetaKP: On-Demand Keyphrase Generation EMNLP 2024 Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning ICLR 2024 Crosslingual Generalization through Multitask Finetuning ACL 2023 LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling CVPR 2023 Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets ACL 2022 Meta Distant Transfer Learning for Pre-trained Language Models EMNLP 2021 Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning EMNLP 2020