Multi-Task Learning
2,556 papers
Papers per year
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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