Pengjie Ren

178 posts

Pengjie Ren

Pengjie Ren

@jayren3

Professor at Shandong University working on NLP and IR.

Katılım Ekim 2015
299 Takip Edilen377 Takipçiler
Pengjie Ren retweetledi
Shiguang Wu
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
Shiguang Wu tweet media
Zhaochun Ren@zhaochun_ren

Thrilled to share that our paper won the BEST PAPER honorable mention award at #SIGIR2024. @shiguang_wu will present our work today during the Dense Retrieval 2 session (Room Federal A & B, 10h30 to 12h30).

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Shiguang Wu
Shiguang Wu@shiguang_wu·
The pre-print version of our SIGIR'24 paper on Generative Retrieval as Multi-Vector Dense Retrieval is at arxiv.org/abs/2404.00684. And the code is now available at github.com/Furyton/GR-as-…. We welcome your feedback! Please feel free to leave any comments on our work :) #SIGIR2024
Shiguang Wu@shiguang_wu

Our paper "Generative Retrieval as Multi-Vector Dense Retrieval" w/ @zhaochun_ren @jayren3 @mdr has been accepted at #SIGIR2024 @SIGIRConf! We reveal that generative retrieval (GR) & multi-vector dense retrieval (MVDR) share the same framework for modeling query-doc relevance.

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Sumit
Sumit@_reachsumit·
ExcluIR: Exclusionary Neural Information Retrieval Presents a benchmark and dataset for exclusionary retrieval where queries express what information to exclude. 📝arxiv.org/abs/2404.17288 👨🏽‍💻github.com/zwh-sdu/ExcluIR
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Zhaochun Ren
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
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Zhaochun Ren
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
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Zhaochun Ren
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
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Zhaochun Ren
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.
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Zhaochun Ren
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
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Zhaochun Ren
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
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Zhaochun Ren
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
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