← Learning Types
Machine Learning › Learning Types ›

Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

McMaster at LeWiDi-2025: Demographic-Aware RoBERTa EMNLP 2025
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models NAACL 2025
Synthetic Empathy: Generating and Evaluating Artificial Psychotherapy Dialogues to Detect Empathy in Counseling Sessions NAACL 2025
Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification NAACL 2025
WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels CVPR 2025
SzegedAI at GenAI Detection Task 1: Beyond Binary - Soft-Voting Multi-Class Classification for Binary Machine-Generated Text Detection Across Diverse Language Models COLING 2025
KEC_AI_ZEROWATTS@DravidianLangTech 2025: Multimodal Hate Speech Detection in Dravidian languages NAACL 2025
Bridging Linguistic Complexity: Sentiment Analysis of Tamil Code-Mixed Text Using Meta-Model NAACL 2025
Aligning to Constraints for Data-Efficient Language Model Customization NAACL 2025
DSLNLP@NLU of Devanagari Script Languages 2025: Leveraging BERT-based Architectures for Language Identification, Hate Speech Detection and Target Classification COLING 2025
MultiProp Framework: Ensemble Models for Enhanced Cross-Lingual Propaganda Detection in Social Media and News using Data Augmentation, Text Segmentation, and Meta-Learning COLING 2025
UCTG: A Unified Controllable Text Generation Framework for Query Auto-Completion COLING 2025
YenLP_CS@DravidianLangTech 2025: Sentiment Analysis on Code-Mixed Tamil-Tulu Data Using Machine Learning and Deep Learning Models NAACL 2025
Fin-DBQA Shared-task: Database Querying and Reasoning COLING 2025
BuDDIE: A Business Document Dataset for Multi-task Information Extraction COLING 2025
Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration NAACL 2025
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types COLING 2025
Met2Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems ICCV 2025
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025
SemiVisBooster: Boosting Semi-Supervised Learning for Fine-Grained Classification through Pseudo-Label Semantic Guidance ICCV 2025
MUNBa: Machine Unlearning via Nash Bargaining ICCV 2025
Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance EMNLP 2025
A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models NAACL 2025
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading EMNLP 2025
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance EMNLP 2025