multi-task learning

2556 papers

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Also known as

MTL MTTL MTLN

Co-occurring keywords

transfer learning (5442) text classification (6776) representation learning (6174) neural network (6616) named entity recognition (2801) large language model (12755) domain adaptation (4578) knowledge distillation (3680) attention mechanism (3975) sentiment analysis (2079)

Papers

Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR L4DC 2024

Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships CVPR 2024

Model Adaptation for Time Constrained Embodied Control CVPR 2024

AdaMerging: Adaptive Model Merging for Multi-Task Learning ICLR 2024

Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning ACL 2024

Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024

Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation CVPR 2024

Ice and Fire: Dataset on Sentiment, Emotions, Toxicity, Sarcasm, Hate speech, Sympathy and More in Icelandic Blog Comments COLING 2024

Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention EMNLP 2024

Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks CVPR 2024

Improving Speech-Based Dysarthria Detection using Multi-task Learning with Gradient Projection INTERSPEECH 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks EMNLP 2024

FAME: Towards Factual Multi-Task Model Editing EMNLP 2024

Prompt-Tuned Muti-Task Taxonomic Transformer (PTMTTaxoFormer) EMNLP 2024

SLM as Guardian: Pioneering AI Safety with Small Language Model EMNLP 2024

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024

Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models EMNLP 2024

Open problem: Direct Sums in Learning Theory COLT 2024

Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction EMNLP 2024

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024

WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning ACL 2024

JOADAA: Joint Online Action Detection and Action Anticipation WACV 2024

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition ACL 2024

Joint Depth Prediction and Semantic Segmentation With Multi-View SAM WACV 2024

Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID WACV 2024