Ruiyang Ren
Orcid: 0000-0002-0562-9911
According to our database1,
Ruiyang Ren
authored at least 16 papers
between 2020 and 2025.
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Bibliography
2025
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
ACM Trans. Inf. Syst., July, 2024
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement.
CoRR, 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
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.
CoRR, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2021
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning.
ACM Trans. Inf. Syst., 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020