Pengjie Ren

About Pengjie Ren

Pengjie Ren, With an exceptional h-index of 27 and a recent h-index of 27 (since 2020), a distinguished researcher at Shandong University, specializes in the field of Natural Language Processing, Recommender Systems.

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

On the Effectiveness of Unlearning in Session-Based Recommendation

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure

Center-retained fine-tuning for conversational question ranking through unsupervised center identification

Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning

Knowledge Graph Enhanced Large Language Model Editing

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

Learning to tokenize for generative retrieval

A Multi-Agent Conversational Recommender System

Pengjie Ren Information

University

Position

Professor

Citations(all)

3983

Citations(since 2020)

3862

Cited By

972

hIndex(all)

27

hIndex(since 2020)

27

i10Index(all)

60

i10Index(since 2020)

58

Email

University Profile Page

Google Scholar

Pengjie Ren Skills & Research Interests

Natural Language Processing

Recommender Systems

Top articles of Pengjie Ren

On the Effectiveness of Unlearning in Session-Based Recommendation

2024/3/4

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure

2024/3/4

Center-retained fine-tuning for conversational question ranking through unsupervised center identification

Information Processing & Management

2024/3/1

Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning

arXiv preprint arXiv:2402.17263

2024/2

Knowledge Graph Enhanced Large Language Model Editing

arXiv preprint arXiv:2402.13593

2024/2/21

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

arXiv preprint arXiv:2402.11176

2024/2/17

A Multi-Agent Conversational Recommender System

arXiv preprint arXiv:2402.01135

2024/2/2

Privacy-Preserving Sequential Recommendation with Collaborative Confusion

arXiv preprint arXiv:2401.04423

2024/1/9

Zero-Shot Position Debiasing for Large Language Models

arXiv preprint arXiv:2401.01218

2024/1/2

Diversifying Sequential Recommendation with Retrospective and Prospective Transformers

ACM Transactions on Information Systems

2024

ExcluIR: Exclusionary Neural Information Retrieval

arXiv preprint arXiv:2404.17288

2024/4/26

Offline Trajectory Generalization for Offline Reinforcement Learning

arXiv preprint arXiv:2404.10393

2024/4/16

Generative Retrieval as Multi-Vector Dense Retrieval

arXiv preprint arXiv:2404.00684

2024/3/31

Enhanced Generative Recommendation via Content and Collaboration Integration

arXiv preprint arXiv:2403.18480

2024/3/27

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation

arXiv preprint arXiv:2403.16371

2024/3/25

Confucius: Iterative tool learning from introspection feedback by easy-to-difficult curriculum

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Generative News Recommendation

arXiv preprint arXiv:2403.03424

2024/3/6

Learning to Use Tools via Cooperative and Interactive Agents

arXiv preprint arXiv:2403.03031

2024/3/5

Umse: Unified multi-scenario summarization evaluation

arXiv preprint arXiv:2305.16895

2023/5/26

See List of Professors in Pengjie Ren University(Shandong University)

Co-Authors

academic-engine