3 papers
cs.CL2026
Latent Abstraction for Retrieval-Augmented Generation
Ha Lan N. T, Minh-Anh Nguyen, Dung D. Le
Retrieval-Augmented Generation (RAG) has become a standard approach for enhancing large language models (LLMs) with external knowledge, mitigating hallucinations, and improving fac…
cs.IR2026
VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
Minh-Anh Nguyen, Bao Nguyen, Ha Lan N. T. +3
Recommendation systems often suffer from data sparsity caused by limited user-item interactions, which degrade their performance and amplify popularity bias in real-world scenarios…
cs.AI2026
SurveyG: A Multi-Agent LLM Framework with Hierarchical Citation Graph for Automated Survey Generation
Minh-Anh Nguye, Minh-Duc Nguyen, Ha Lan N. T. +3
Large language models (LLMs) are increasingly adopted for automating survey paper generation \cite{wang2406autosurvey, liang2025surveyx, yan2025surveyforge,su2025benchmarking,wen20…