Search and information retrieval

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

Video

Microsoft Research India – who we are.

September 15, 2023 | Kalika Bali, Sriram Rajamani, Venkat Padmanabhan, Tanuja Ganu

Employees from Microsoft Research India talk about their work, their aspirations to change the world and what makes MSR India such a great place to work in.

03:33

Publication

Partial Matrix Completion

Varun Kanade, Elad Hazan, Adam Tauman Kalai

NeurIPS 2023 | August 2023

Publication

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs

Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesus Camacho-Rodriguez, A. Floratou, C. Curino, R. Ramakrishnan

Proc. VLDB Endow. | August 2023, Vol 16: pp. 3662-3675

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

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

Microsoft Research India – who we are.

Partial Matrix Completion

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs

Search and information retrieval

Highlights