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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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LLM4Eval: Large Language Model for Evaluation in IR

Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz

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

Workshop description

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Large Language Models Can Accurately Predict Searcher Preferences

Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra

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

An earlier version of this paper appeared as arXiv preprint arXiv:2309.10621v1 [cs.IR].

Publication

Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance

Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis

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

Microsoft Research Blog

Unified Database: Laying the foundation for large language model vertical applications

July 10, 2024

Unified databases offer better knowledge transfer between multimodal data types. They provide substantial corpus support for large language models and are poised to drive innovation in underlying hardware, laying the foundation for data-enhanced AI.

A diagram showing splitting vector partitions and reallocating vectors in partitions to adapt to changes in data distribution.

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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

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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

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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…

Search and information retrieval

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