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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

PoCo: Policy Composition from and for Heterogeneous Robot Learning RSS 2024
AlexUNLP-BH at StanceEval2024: Multiple Contrastive Losses Ensemble Strategy with Multi-Task Learning For Stance Detection in Arabic ACL 2024
Dolomites@#SMM4H 2024: Helping LLMs “Know The Drill” in Low-Resource Settings - A Study on Social Media Posts ACL 2024
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models ACL 2024
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation ACL 2024
Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights IJCAI 2024
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models ACL 2024
CodeM: Less Data Yields More Versatility via Ability Matrix ACL 2024
Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024
Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR L4DC 2024
MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline ACL 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NIPS 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NIPS 2024
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling AAAI 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging NIPS 2024
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation AAAI 2024
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution NIPS 2024
Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment AAAI 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models EMNLP 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NIPS 2024
MultiLS: An End-to-End Lexical Simplification Framework EMNLP 2024
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NIPS 2024