Search and information retrieval

Publication

DiSK: A Diffusion Model for Structured Knowledge

Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra

December 2023

Project

Publication

Large Search Model: Redefining Search Stack in the Era of LLMs

Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei

SIGIR Forum | December 2023, Vol 57(2)

Video

NeurIPs 2020: MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

November 16, 2023

We introduce MosAIc, an interactive website that allows users to discover hidden connections between works of art across culture, media, artists, and time. MosAIc finds “visual analogies”, or works of art with the same semantic…

15:59

Publication

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yuksekgonul, Rahee Peshawaria, Ranjita Naik, Besmira Nushi

October 2023

Video

Publication

Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales

Itzik Malkiel, Uri Alon, Yakir Yehdua, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein

International Conference on Information and Knowledge Management | October 2023

Publication

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin

SIGIR 2024 | October 2023

Publication

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim

WSDM 2023 | October 2023

Best Paper Runner Up

Publication

Augmented Embeddings for Custom Retrievals

Anirudh Khatry, Yasharth Bajpai, Priyanshu Gupta, Sumit Gulwani, Ashish Tiwari

arXiv | October 2023

Publication

Model-enhanced Vector Index

Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui

NeurIPS 2023 | October 2023

Publication

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Longqi Yang

MSR-TR-2023-32 | September 2023

Published by Microsoft

This article is distributed under Creative Commons Attribution- NonCommercial- NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.

Project Project

Search and information retrieval

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Result Diversification in Search and Recommendation: A Survey

RASCAL: Novel robotics for scalable and highly available automated storage and retrieval

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

DiSK: A Diffusion Model for Structured Knowledge

Large Search Model: Redefining Search Stack in the Era of LLMs

NeurIPs 2020: MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Augmented Embeddings for Custom Retrievals

Model-enhanced Vector Index

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Search and information retrieval

Highlights