论文题目:Generative Retrieval via Term Set Generation (Full Paper) 作者:张配天,刘政,周雨佳,窦志成, Fangchao Liu,曹朝 通讯作者:窦志成 论文概述:生成式检索要求模型根据查询精准生成相关文档的标识符,一旦生成过程某一步出错,则相关文档无法...
清华大学、人大高瓴人工智能学院和小红书的联合研究,SIGIR 2024的best paper,2024-05-27首次上传到arxiv,探讨稠密检索模型的缩放规律问题。 Highlights / TL;DR query-doc检索问题,dssm类检索方法的scaling law,探讨模型规模、数据规模、数据质量对性能的影响; 在MSMARCO和T2Ranking数据集上实验,用对比熵为评估,不同...
部门第一次推校企合作就有录用Paper产出，这种天上掉馅饼的好事我之前都不敢想。
This paper is a report of the Workshop on Simulations for Information Access (Sim4IA) workshop at SIGIR 2024. The workshop had two keynotes, a panel discussion, nine lightning talks, and two breakout sessions. Key takeaways were user simulation's importance in academia and industry, the ...
🚀 [2024/03/26] Our Paper has been accepted by the Demo paper track of SIGIR 2024 conference! 📖 [2024/03/25] Our project has been renamed to Yulan-GARDEN from ZHEM. Yulan-GARDEN signifies that Yulan series LLMs (Yulan-LLM and Yulan-Chat) was brought up by Yulan-GARDEN (data pro...
Feb 1, 2024 8c27461·Feb 1, 2024 History 187 Commits README.md Update README.md Feb 1, 2024 Repository files navigation README Awesome Recsys modified: 2024-01-13 Conference Paper SIGIR,Recsys,WSDM,KDD,etc. Nonemeans unavailable URL or papers that have not been published yet. ...
The ColBERTv1 code from the SIGIR'20 paper is in thecolbertv1branch. Seeherefor more information on other branches. Installation ColBERT requires Python 3.7+ and Pytorch 1.9+ and uses theHugging Face Transformerslibrary. We strongly recommend creating a conda environment using the commands below....
If you find this work helpful to your research, please kindly consider citing our paper: @inproceedings{ye2023graph, title={Graph Masked Autoencoder for Sequential Recommendation}, author={Ye, Yaowen and Xia, Lianghao and Huang, Chao}, booktitle={Proceedings of the 46th International ACM SIGIR...
[SIGIR 2024] The official repo for paper "Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding" - HansiZeng/PAG
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation" - LehengTHU/Agent4Rec