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Save the date with the luma link below! lu.ma/56flmrf9 Shi Yu, author of VisRAG, is a PhD candidate @Tsinghua_Uni He's published at SIGIR and COLING, and developed OpenMatch, a leading IR toolkit. His recent work with ModelBest produced MiniCPM-Embedding and…
Big thanks to @nanwang_t @bo_wangbo from Jina AI for sharing our work! We hope VisRAG can provide some insights into the development of next-gen RAG!
Impressive work by @OpenBMB and the Tsinghua NLP group! huggingface.co/openbmb/VisRAG… - The training dataset size has nearly tripled compared to ColPali. 360k vs 127k - TextRAG performs best with longer documents, while VisionRAG excels with shorter ones!
Our demo paper "OpenMatch: An Open-Source Library for Neu-IR Research" has been accepted by #sigir2021! 👏 Congrats to the authors @ZhenghaoLiu4 @An4Lm9vT7peHQyg @XiongChenyan @zibuyu9 🎉🎉
OpenMatch (github.com/thunlp/OpenMat…): An open source library for neural information retrieval (IR) research, containing a variety of traditional and neural IR modules, standard training, testing and few-shot training framework. Give it a shot! #IR #NLProc #AI #TsinghuaNLP
Our work "Few-Shot Conversational Dense Retrieval" w/ @dgdsxyushi•@ZhenghaoLiu4•@XiongChenyan•@Op_enmind•@zibuyu9 has been accepted at #SIGIR2021 as a full paper. We propose a few-shot strategy that effectively trains a conversational dense retriever. #NLProc #AI #TsinghuaNLP
Conversational search systems interact with users through dialogues. Our recent work (arxiv.org/pdf/2006.05009…) demonstrates the few-shot ability of GPT-2 for conversational query rewriting and proposes two methods to generate weak supervision data. #NLProc #AI #TsinghuaNLP
To facilitate research on Information Retrieval (IR), we develop OpenMatch (github.com/thunlp/OpenMat…), a package providing functional interfaces for IR modules. OpenMatch supplies a series of widely-used sparse/dense retrievers and neural rerankers. #NLProc #AI #TsinghuaNLP
The MetaAdaptRank technology proposed by our group in cooperation with Microsoft has been applied to Microsoft Biomedical Search (blogs.microsoft.com/ai-for-busines…)! The technology helped us get first place in the second round of the TREC-COVID non-manual group. #NLProc #AI #TsinghuaNLP
The open-access book RL4NLP by our group members Zhiyuan Liu, Yankai Lin & Maosong Sun is now one of the Springer Nature 2020 highlights! 😁 Welcome download here: link.springer.com/book/10.1007%2… #NLProc #TsinghuaNLP
Welcome to the @TsinghuaNLP Twitter feed, where we'll share new researches and information from TsinghuaNLP Group. Looking forward to interacting with you here! #NLProc
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision - goo.gl/scholar/H1k6t6 #ScholarAlerts
Question Answer in Context - A dataset of 15k information seeking dialogs with 100k questions and answers quac.ai #QuAC
The Stanford Question Answering Dataset - 100,000+ questions for reading comprehension stanford-qa.com #SQuAD 来自 @stanfordnlp
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Who to follow
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Ning Ding
@stingning -
Chaojun Xiao
@xcjthu1 -
OpenBMB
@OpenBMB -
Billy Xuanming Zhang
@XuanmingZhang07 -
THUIR_lab
@thuir_lab -
Xiaozhi Wang
@XiaozhiWangNLP -
Qingyao Ai
@QingyaoAi -
Shuo Wang
@ShuoWang_NLP -
Jinyi Hu
@JinyiHu2 -
Nate Gruver
@gruver_nate -
Zonghan Yang
@yang_zonghan -
Yu-Sheng (Ethan) Su
@thu_yushengsu -
Aixin Sun 孙爱欣
@AixinSG -
Samson Tan
@samsontmr -
Faisal Ladhak
@faisalladhak
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