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Multi-Task Learning

973 papers

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Papers

Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation AAAI 2025
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation AAAI 2025
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation AAAI 2025
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation AAAI 2025
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding AAAI 2025
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement AAAI 2025
HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting AAAI 2025
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning AAAI 2025
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction AAAI 2025
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts AAAI 2025
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection AAAI 2025
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms AAAI 2025
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models AAAI 2025
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder AAAI 2025
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction AAAI 2025
SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training AAAI 2025
Capability Instruction Tuning AAAI 2025
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective AAAI 2025
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning AAAI 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise ACL 2025
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention ACL 2025
Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models ACL 2025
Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria ACL 2025
SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL ACL 2025
Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging ACL 2025