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

Generalist YOLO: Towards Real-Time End-to-End Multi-Task Visual Language Models WACV 2025

Framing the Language: Fine-Tuning Gemma 3 for Manipulation Detection ACL 2025

Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints AAAI 2025

MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction IJCAI 2025

Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation EMNLP 2025

MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025

Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance IJCAI 2025

EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models EMNLP 2025

GLiNER2: Schema-Driven Multi-Task Learning for Structured Information Extraction EMNLP 2025

VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making EMNLP 2025

Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation CVPR 2025

UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing ICCV 2025

Multi-Modal Multi-Task Unified Embedding Model (M3T-UEM): A Task-Adaptive Representation Learning Framework ICCV 2025

Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025

Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion ICCV 2025

Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding ACL 2025

DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora ACL 2025

DialogueMMT: Dialogue Scenes Understanding Enhanced Multi-modal Multi-task Tuning for Emotion Recognition in Conversations COLING 2025

Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons COLING 2025

WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models CVPR 2025

BuDDIE: A Business Document Dataset for Multi-task Information Extraction COLING 2025

Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference COLING 2025

Towards Performance Consistency in Multi-Level Model Collaboration ICCV 2025

MUNBa: Machine Unlearning via Nash Bargaining ICCV 2025