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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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Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan

ACL | August 2024

Project

Publication

LLMJudge: LLMs for Relevance Judgments

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

August 2024

Podcast

What’s Your Story: Emre Kiciman

August 1, 2024

Emre Kiciman shares how some keen observations and a desire to have front-end impact led him to make the jump from systems and networking to computational social science and now causal analysis and large-scale AI—and…

What's Your Story podcast | Emre Kiciman

Publication

Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024

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

August 2024

Publication

Generative AI in Real-World Workplaces

Sonia Jaffe, Neha Parikh Shah, Jenna Butler, Alex Farach, Alexia Cambon, Brent Hecht, Michael Schwarz, Jaime Teevan

MSR-TR-2024-29 | July 2024

Published by Microsoft

Project

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

Search and information retrieval

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