Pengjie Ren

Professor at Shandong University working on NLP and IR.

[Shiguang Wu @shiguang_wu]

Thrilled to get Best Paper Honorable Mention for 'Generative Retrieval as Multi-vector Dense Retrieval.' We reframe cross-attention in GR within MVDR's sparse alignment. Great thanks to @SIGIRConf for the recognition and my co-authors @mdr @zhaochun_ren @jayren3 #SIGIR2024

[Zhaochun Ren @zhaochun_ren]

1/6 Glad to share our #ACL2024 paper "MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter," joint work with Jitai, @sunweiwei12, @XinXin_SDU, Qi, and @jayren3

[Jiahuan Pei @ppsunrise]

How to enable a higher rank variation while preserving the computational advantage when using low-rank adapters for parameter-efficient fine-tuning? You can consider Mini-Ensemble LoRAs at #ACL2024.
Congrats, @jayren3 @ChengshunS @zhaochun_ren @mdr
https://t.co/Z7pf8zoAGg

[Shiguang Wu @shiguang_wu]

The pre-print version of our SIGIR'24 paper on Generative Retrieval as Multi-Vector Dense Retrieval is at https://t.co/xmcDVm36bH. And the code is now available at https://t.co/rgO4SspDGp. We welcome your feedback! Please feel free to leave any comments on our work :) #SIGIR2024

[Sumit @_reachsumit]

ExcluIR: Exclusionary Neural Information Retrieval

Presents a benchmark and dataset for exclusionary retrieval where queries express what information to exclude.

📝https://t.co/7gAHjg9TXP
👨🏽‍💻https://t.co/CLJfTmHzQk

[Pengjie Ren @jayren3]

@redoragd @zhaochun_ren @shiguang_wu @mdr Thanks! The arxiv version is available here: https://t.co/fabjBMM1VZ

[Zhaochun Ren @zhaochun_ren]

Glad to share that our paper "Generative Retrieval as Multi-Vector Dense Retrieval" has been accepted at #SIGIR2024 as a full paper, joint work w/ @shiguang_wu, @jayren3, and @mdr

[Zhaochun Ren @zhaochun_ren]

So glad our paper won #WSDM2024 best paper honorable mention award!

[Zhaochun Ren @zhaochun_ren]

8/10 Our paper "DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment" has been accepted as a findings conference paper at @emnlpmeeting, joint work w/ Yukun, @sunweiwei12, Lingyong, @jayren3, Zhumin, and @yindawei

[Zhaochun Ren @zhaochun_ren]

6/10 Our paper "Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features" has been accepted as a findings conference paper at @emnlpmeeting, joint work w/ @ZihanWa54274484, Ziqi, @jayren3, Zhumin, and @mdr

[Zhaochun Ren @zhaochun_ren]

5/10 Our paper "Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning" has been accepted as a findings conference paper at @emnlpmeeting, joint work w/@yougang_lyu, Jitai, @ZihanWa54274484, @jayren3, and Zhumin

[Zhaochun Ren @zhaochun_ren]

3/10 Our paper "Syllogistic Reasoning for Legal Judgment Analysis" has been accepted as a main conference paper at @emnlpmeeting, joint work w/ Wentao, @ppsunrise, Furu, Zhumin, and @jayren3.

[Zhaochun Ren @zhaochun_ren]

2/10 Our paper "Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents" has been accepted as a main conference paper at @emnlpmeeting. Joint work w/ @sunweiwei12, Lingyong, Xinyu, @jayren3, Zhumin, and @yindawei

[Zhaochun Ren @zhaochun_ren]

1/2 "Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems" has been accepted at #SIGIR2023 as a full paper, w/ Na, Yidan, @jayren3, Jun, Zhumin, Jiahuan, Xinlei, @joemonj, and @XinXin_SDU

[Zhaochun Ren @zhaochun_ren]

1/4 Our resource paper "Towards Explainable Conversational Recommender Systems" w/ Shuyu, @sunweiwei12, @imsure318, @jayren3, and Zhumin, has been accepted at #SIGIR2023.

[Zhaochun Ren @zhaochun_ren]

3/4 Our paper "Feature-Level Debiased Natural Language Understanding" (w/ @WhistleLyu, @pijili, @jayren3, @yindawei, and @mdr ) was accepted at #AAAI2023

[Zhaochun Ren @zhaochun_ren]

2/4Our paper "Contrastive Learning Reduces Hallucination in Conversations" (w/
@sunweiwei12, Shen, @jayren3, and @mdr) was accepted at #AAAI2023

[Maarten de Rijke @mdr]

Come join our team as a PhD student and work on #neuralIR for #conversationalAI!

How: apply through the @ELLISforEurope PhD program at https://t.co/mRMtXvkm55

When: no later than November 15, 2022

[Zhaochun Ren @zhaochun_ren]

1/4 Our paper "On the User Behavior Leakage from Recommender System Exposure" is accepted by ACM TOIS, w/ @XinXin_SDU, Yiyuan, and @jayren3

[Zihan Wang @ZihanWa54274484]

Our full paper "Debiasing Learning for Membership Inference Attacks Against Recommender Systems" is now online. #KDD2022

Co-authors: @jayren3 @zhaochun_ren @mdr @fei__sun