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Multi-Task Learning

2,556 papers

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Papers

A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion ACL 2025 Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation Systems NAACL 2025 Automatic detection of speech sound disorders in German-speaking children: augmenting the data with typically developed speech Interspeech 2025 AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025 AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation AAAI 2025 BackMATH: Towards Backward Reasoning for Solving Math Problems Step by Step COLING 2025 Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts AAAI 2025 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation ICCV 2025 Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation IJCAI 2025 Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation WACV 2025 Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion ICCV 2025 BanNERD: A Benchmark Dataset and Context-Driven Approach for Bangla Named Entity Recognition NAACL 2025 Beyond Classification: Towards Speech Emotion Reasoning with Multitask AudioLLMs IJCNLP 2025 Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models ACL 2025 Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective ICCV 2025 Beyond the Mode: Sequence-Level Distillation of Multilingual Translation Models for Low-Resource Language Pairs NAACL 2025 Biased Incomplete Multi-View Learning AAAI 2025 Biodiversity ambition analysis with Large Language Models ACL 2025 Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025 Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System AAAI 2025 Bridging Linguistic Complexity: Sentiment Analysis of Tamil Code-Mixed Text Using Meta-Model NAACL 2025 BuDDIE: A Business Document Dataset for Multi-task Information Extraction COLING 2025 CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training ICCV 2025 CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation WACV 2025