Advancing Vietnamese Information Retrieval with Learning Objective and Benchmark
Fuente:
arXiv
Guardado en:
| Autores principales: | Nguyen, Phu-Vinh, Tran, Minh-Nam, Nguyen, Long, Dinh, Dien |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Improving Vietnamese Legal Document Retrieval using Synthetic Data
por: Tien, Son Pham, et al.
Publicado: (2024)
por: Tien, Son Pham, et al.
Publicado: (2024)
BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
por: Wang, Xiaoyue, et al.
Publicado: (2024)
por: Wang, Xiaoyue, et al.
Publicado: (2024)
XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation
por: Li, Zhuoling, et al.
Publicado: (2026)
por: Li, Zhuoling, et al.
Publicado: (2026)
Few-shot Continual Relation Extraction via Open Information Extraction
por: Nguyen, Thiem, et al.
Publicado: (2025)
por: Nguyen, Thiem, et al.
Publicado: (2025)
Revisiting RAG Retrievers: An Information Theoretic Benchmark
por: Zheng, Wenqing, et al.
Publicado: (2026)
por: Zheng, Wenqing, et al.
Publicado: (2026)
URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
por: Nguyen, Vinh, et al.
Publicado: (2026)
por: Nguyen, Vinh, et al.
Publicado: (2026)
Generalized knowledge-enhanced framework for biomedical entity and relation extraction
por: Nguyen, Minh, et al.
Publicado: (2024)
por: Nguyen, Minh, et al.
Publicado: (2024)
Vietnamese Legal Information Retrieval in Question-Answering System
por: Ba, Thiem Nguyen, et al.
Publicado: (2024)
por: Ba, Thiem Nguyen, et al.
Publicado: (2024)
Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
por: Yuan, Kai, et al.
Publicado: (2026)
por: Yuan, Kai, et al.
Publicado: (2026)
ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering
por: Kwon, Daeyong, et al.
Publicado: (2025)
por: Kwon, Daeyong, et al.
Publicado: (2025)
Superintelligent Retrieval Agent: The Next Frontier of Information Retrieval
por: Yang, Zeyu, et al.
Publicado: (2026)
por: Yang, Zeyu, et al.
Publicado: (2026)
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
por: Mozifian, Melissa, et al.
Publicado: (2023)
por: Mozifian, Melissa, et al.
Publicado: (2023)
Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
por: Li, Shijun, et al.
Publicado: (2024)
por: Li, Shijun, et al.
Publicado: (2024)
AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
por: Wang, Yubo, et al.
Publicado: (2025)
por: Wang, Yubo, et al.
Publicado: (2025)
MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems
por: Ai, Qingyao, et al.
Publicado: (2025)
por: Ai, Qingyao, et al.
Publicado: (2025)
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval
por: Hwang, Dae Yon, et al.
Publicado: (2024)
por: Hwang, Dae Yon, et al.
Publicado: (2024)
From Variability to Stability: Advancing RecSys Benchmarking Practices
por: Shevchenko, Valeriy, et al.
Publicado: (2024)
por: Shevchenko, Valeriy, et al.
Publicado: (2024)
An LLM-Powered Agent for Real-Time Analysis of the Vietnamese IT Job Market
por: Nguyen, Minh-Thuan, et al.
Publicado: (2025)
por: Nguyen, Minh-Thuan, et al.
Publicado: (2025)
Streamlining Conformal Information Retrieval via Score Refinement
por: Intrator, Yotam, et al.
Publicado: (2024)
por: Intrator, Yotam, et al.
Publicado: (2024)
Learning Retrieval Models with Sparse Autoencoders
por: Formal, Thibault, et al.
Publicado: (2026)
por: Formal, Thibault, et al.
Publicado: (2026)
BRIDGE: Bundle Recommendation via Instruction-Driven Generation
por: Bui, Tuan-Nghia, et al.
Publicado: (2024)
por: Bui, Tuan-Nghia, et al.
Publicado: (2024)
Temporal Information Retrieval via Time-Specifier Model Merging
por: Han, SeungYoon, et al.
Publicado: (2025)
por: Han, SeungYoon, et al.
Publicado: (2025)
IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
por: Ma, Fengbo, et al.
Publicado: (2026)
por: Ma, Fengbo, et al.
Publicado: (2026)
Preference Discerning with LLM-Enhanced Generative Retrieval
por: Paischer, Fabian, et al.
Publicado: (2024)
por: Paischer, Fabian, et al.
Publicado: (2024)
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
por: Tran, Hung Vinh, et al.
Publicado: (2024)
por: Tran, Hung Vinh, et al.
Publicado: (2024)
MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
por: Kwon, Daeyong, et al.
Publicado: (2025)
por: Kwon, Daeyong, et al.
Publicado: (2025)
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
por: Wilm, Timo, et al.
Publicado: (2024)
por: Wilm, Timo, et al.
Publicado: (2024)
Multi-Group Proportional Representation in Retrieval
por: Oesterling, Alex, et al.
Publicado: (2024)
por: Oesterling, Alex, et al.
Publicado: (2024)
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
por: Li, Zhaoxing, et al.
Publicado: (2025)
por: Li, Zhaoxing, et al.
Publicado: (2025)
AutoVerifier: An Agentic Automated Verification Framework Using Large Language Models
por: Du, Yuntao, et al.
Publicado: (2026)
por: Du, Yuntao, et al.
Publicado: (2026)
Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System
por: Zhang, Jiang, et al.
Publicado: (2026)
por: Zhang, Jiang, et al.
Publicado: (2026)
Semantic Retrieval at Walmart
por: Magnani, Alessandro, et al.
Publicado: (2024)
por: Magnani, Alessandro, et al.
Publicado: (2024)
Heterogeneous Hypergraph Embedding for Recommendation Systems
por: Sakong, Darnbi, et al.
Publicado: (2024)
por: Sakong, Darnbi, et al.
Publicado: (2024)
A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
por: Wang, Tangtang, et al.
Publicado: (2025)
por: Wang, Tangtang, et al.
Publicado: (2025)
Optimizing Compound Retrieval Systems
por: Oosterhuis, Harrie, et al.
Publicado: (2025)
por: Oosterhuis, Harrie, et al.
Publicado: (2025)
Scaling Laws for Online Advertisement Retrieval
por: Wang, Yunli, et al.
Publicado: (2024)
por: Wang, Yunli, et al.
Publicado: (2024)
IR2: Information Regularization for Information Retrieval
por: Wang, Jianyou, et al.
Publicado: (2024)
por: Wang, Jianyou, et al.
Publicado: (2024)
Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion
por: Qiao, Shutong, et al.
Publicado: (2025)
por: Qiao, Shutong, et al.
Publicado: (2025)
DSL-R1: From SQL to DSL for Training Retrieval Agents across Structured and Unstructured Data with Reinforcement Learning
por: Hu, Yunhai, et al.
Publicado: (2026)
por: Hu, Yunhai, et al.
Publicado: (2026)
Your Dense Retriever is Secretly an Expeditious Reasoner
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
Ejemplares similares
-
Improving Vietnamese Legal Document Retrieval using Synthetic Data
por: Tien, Son Pham, et al.
Publicado: (2024) -
BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
por: Wang, Xiaoyue, et al.
Publicado: (2024) -
XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation
por: Li, Zhuoling, et al.
Publicado: (2026) -
Few-shot Continual Relation Extraction via Open Information Extraction
por: Nguyen, Thiem, et al.
Publicado: (2025) -
Revisiting RAG Retrievers: An Information Theoretic Benchmark
por: Zheng, Wenqing, et al.
Publicado: (2026)