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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

ICRA 2024 conference recap blog - RASCAL library

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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Published Date

Publication

Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models

Bin Benjamin Zhu

2024 International Conference on Machine Learning | July 2024

Microsoft Research Blog

Research Focus: Week of July 15, 2024

July 17, 2024 | Chang Xu, Weiqing Liu, Jiang Bian, Shijie Cao, Changho Hwang, Ting Cao, Mao Yang, Paul Thomas, Nick Craswell, Seth Spielman, Xiaotian Gao, Xinran wei, Jia Zhang, Tie-Yan Liu, Justin Ding, Shi Han, Dongmei Zhang

Advancing time series analysis with multi-granularity guided diffusion model; An algorithm-system co-design for fast, scalable MoE inference; What makes a search metric successful in large-scale settings; learning to solve PDEs without simulated data.

Publication

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan

2024 Uncertainty in Artificial Intelligence | July 2024

Project

Publication

What Matters in a Measure? A Perspective from Large-Scale Search Evaluation

Paul Thomas, Gabriella Kazai, Nick Craswell, Seth Spielman

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

Best paper nomination

Publication

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

Publication

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].

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.

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

Publication

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

Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) | July 2024, pp. 1525-1534

Publication

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

Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis

July 2024

Search and information retrieval

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