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Search and information retrieval

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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

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OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification

Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Roy Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma

2024 International Conference on Machine Learning | July 2024

Publication

Report on The Search Futures Workshop at ECIR 2024

Leif Azzopardi, Charles L. A. Clarke, Paul Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren

SIGIR Forum | July 2024

Publication

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh, Reshmi Ghosh

ArXiv | June 2024, Vol abs/2406.12824

Publication

ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval

Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, Martin Potthast

2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | June 2024

Publication

Synthetic Test Collections for Retrieval Evaluation

Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos

2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | May 2024

Microsoft Research Blog

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

May 14, 2024 | Richard Black, Marco Caballero, Andromachi Chatzieleftheriou, Ant Rowstron, David Sweeney, Hugh Williams

RASCAL is an untethered robot with a modular design, allowing it to move flexibly along and between evenly spaced storage shelves. Discover how it can address the availability and scalability challenges of existing automated storage…

Publication

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

2024 The Web Conference | May 2024

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Publication

Towards Group-aware Search Success

Haolun Wu, Bhaskar Mitra, Nick Craswell

International Conference on the Theory of Information Retrieval | April 2024

Tool

ORCAS: Open Resource for Click Analysis in Search

ORCAS is a click-based dataset associated with the TREC Deep Learning Track. It covers 1.4 million of the TREC DL documents, providing 18 million connections to 10 million distinct queries.

GitHub Publication

Tool

TREC Tip-of-the-Tongue Track

Tip-of-the-tongue (ToT) known-item retrieval is defined as “an item identification task in which the searcher has previously experienced an item but cannot recall a reliable identifier” (i.e., “It’s on the tip of my tongue…”). The…

GitHub Publication Publication Publication

Search and information retrieval

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