Yuhao Wang
Orcid: 0009-0001-5760-9285Affiliations:
- Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China
According to our database1,
Yuhao Wang authored at least 18 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation.
CoRR, April, 2026
CoRR, March, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, August, 2025
Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation.
CoRR, May, 2025
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation.
CoRR, May, 2025
CoRR, February, 2025
Proceedings of the ACM on Web Conference 2025, 2025
LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024
2023
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.
CoRR, 2023
2022