:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Jiang, Haiyang, Chen, Tong, Zhang, Wentao, Hung, Nguyen Quoc Viet, Yuan, Yuan, Li, Yong, Cui, Lizhen
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2412.05534
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
di: Qiao, Shutong, et al.
Pubblicazione: (2026)

Reasoning Pattern Alignment Merging for Adaptive Reasoning
di: Zhong, Zhaofeng, et al.
Pubblicazione: (2026)

Physics-guided Active Sample Reweighting for Urban Flow Prediction
di: Jiang, Wei, et al.
Pubblicazione: (2024)

Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion
di: Qiao, Shutong, et al.
Pubblicazione: (2025)

TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
di: Xing, Xiaobo, et al.
Pubblicazione: (2025)

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
di: Tran, Hung Vinh, et al.
Pubblicazione: (2024)

Cost-Effective Model Evaluation with Meta-Learning
di: Pham, Trinh, et al.
Pubblicazione: (2026)

Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation
di: Guo, Lei, et al.
Pubblicazione: (2024)

Do as I can, not as I get
di: Zheng, Shangfei, et al.
Pubblicazione: (2023)

Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time Scaling
di: Jiang, Wei, et al.
Pubblicazione: (2026)

Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics
di: Jiang, Wei, et al.
Pubblicazione: (2025)

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
di: Zhang, Zeyang, et al.
Pubblicazione: (2024)

Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
di: Phung, Thu Hang, et al.
Pubblicazione: (2026)

Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning
di: Nguyen, Thanh Thi, et al.
Pubblicazione: (2025)

Evolutionary Router Feature Generation for Zero-Shot Graph Anomaly Detection with Mixture-of-Experts
di: Jiang, Haiyang, et al.
Pubblicazione: (2026)

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
di: Nguyen, Duong M., et al.
Pubblicazione: (2025)

The Emergence of Deep Reinforcement Learning for Path Planning
di: Nguyen, Thanh Thi, et al.
Pubblicazione: (2025)

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views
di: Pham, Minh Tam, et al.
Pubblicazione: (2026)

Sufficient Invariant Learning for Distribution Shift
di: Kim, Taero, et al.
Pubblicazione: (2022)

A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning
di: Nguyen, Thanh Linh, et al.
Pubblicazione: (2025)

Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
di: Yang, Jinluan, et al.
Pubblicazione: (2024)

Heterogeneous Hypergraph Embedding for Recommendation Systems
di: Sakong, Darnbi, et al.
Pubblicazione: (2024)

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?
di: Nguyen, Quoc Viet, et al.
Pubblicazione: (2025)

Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
di: Nguyen, Minh-Duong, et al.
Pubblicazione: (2025)

Evidence-based Distributional Alignment for Large Language Models
di: Pham, Viet-Thanh, et al.
Pubblicazione: (2026)

Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning
di: Nguyen, Thanh Linh, et al.
Pubblicazione: (2026)

Bias as a Virtue: Rethinking Generalization under Distribution Shifts
di: Chen, Ruixuan, et al.
Pubblicazione: (2025)

Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
di: Wang, Chung-Yu, et al.
Pubblicazione: (2024)

Multi-turn Response Selection with Commonsense-enhanced Language Models
di: Wang, Yuandong, et al.
Pubblicazione: (2024)

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion
di: Chen, Lijian, et al.
Pubblicazione: (2023)

Multi-agents based User Values Mining for Recommendation
di: Chen, Lijian, et al.
Pubblicazione: (2025)

FINER-SQL: Boosting Small Language Models for Text-to-SQL
di: Hoang, Thanh Dat, et al.
Pubblicazione: (2026)

A Multi-agent Text2SQL Framework using Small Language Models and Execution Feedback
di: Hoang, Thanh Dat, et al.
Pubblicazione: (2025)

Scalable and Effective Negative Sample Generation for Hyperedge Prediction
di: Qu, Shilin, et al.
Pubblicazione: (2024)

Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents
di: Pham, Khanh Trinh, et al.
Pubblicazione: (2025)

PaperRepro: Automated Computational Reproducibility Assessment for Social Science Papers
di: Zhang, Linhao, et al.
Pubblicazione: (2026)

Integrating Vision-Centric Text Understanding for Conversational Recommender Systems
di: Yuan, Wei, et al.
Pubblicazione: (2026)

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services
di: Yuan, Wei, et al.
Pubblicazione: (2024)

Watermarking Large Language Model-based Time Series Forecasting
di: Yuan, Wei, et al.
Pubblicazione: (2025)

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
di: Li, Dong, et al.
Pubblicazione: (2024)