Ruiyang Ren

About Ruiyang Ren

Ruiyang Ren, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Renmin University of China, specializes in the field of Information Retrieval, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents

Dense text retrieval based on pretrained language models: A survey

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

TOME: A Two-stage Approach for Model-based Retrieval

A Survey of Large Language Models

A Thorough Examination on Zero-shot Dense Retrieval

Ruiyang Ren Information

University

Position

___

Citations(all)

1767

Citations(since 2020)

1761

Cited By

11

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Ruiyang Ren Skills & Research Interests

Information Retrieval

Natural Language Processing

Top articles of Ruiyang Ren

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering

arXiv preprint arXiv:2402.17497

2024/2/27

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents

arXiv preprint arXiv:2402.17505

2024/2/27

Dense text retrieval based on pretrained language models: A survey

ACM Transactions on Information Systems

2024/2/9

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

arXiv preprint arXiv:2401.03205

2024/1/6

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

arXiv preprint arXiv:2307.11019

2023/7/20

TOME: A Two-stage Approach for Model-based Retrieval

arXiv preprint arXiv:2305.11161

2023/5/18

A Thorough Examination on Zero-shot Dense Retrieval

Findings of the 2023 Conference on Empirical Methods in Natural Language Processing

2022/4/27

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking

2021/11/8

PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval

2021/8/2

RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering

2020/10/16

Fine-grained privacy detection with graph-regularized hierarchical attentive representation learning

ACM Transactions on Information Systems (TOIS)

2020/9/16

Sequential recommendation with self-attentive multi-adversarial network

2020/7/25

See List of Professors in Ruiyang Ren University(Renmin University of China)

Co-Authors

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