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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

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data

Guanghui Qin, Jin-Ge Yao, Xuening Wang, Jinpeng Wang, Chin-Yew Lin

Empirical Methods in Natural Language Processing | January 2018

Project Project

Publication

Mention and Entity Description Co-Attention for Entity Disambiguation

Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan

Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018) | January 2018

Project Project

Publication

Deep learning for detecting inappropriate content in text

Harish Yenala, Ashish Jhanwar, Manoj Kumar Chinnakotla, Jay Goyal

International Journal of Data Science and Analytics | December 2017, Vol 6: pp. 273-286

Publication

Off-Policy Evaluation For Slate Recommendation

Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni

2017 Neural Information Processing Systems | December 2017

Project

Publication

Tasks, queries, and rankers in pre-retrieval performance prediction

Paul Thomas, Falk Scholer, Peter Bailey, Alistair Moffat

Proceedings of the Australasian Document Computing Symposium | December 2017

Publication

Large-scale generative query autocompletion

David Maxwell, Peter Bailey, David Hawking

22nd Australasian Document Computing Symposium | December 2017

Microsoft Research Blog

‘Contextual bandit’ breakthrough enables deeper personalization

December 5, 2017 | Miro Dudík

News portals that simultaneously personalize every part of the landing page for every visitor and mobile health apps that adaptively tweak every part of an exercise regimen to maximize the benefit of every user are…

Researchers at Microsoft office in New York City. Miro Dudik.

Publication

Decoding with Value Networks for Neural Machine Translation

Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tieyan Liu

31st Conference on Neural Information Processing Systems (NIPS 2017) | December 2017

Publication

Characterizing and Predicting Enterprise Email Reply Behavior

Liu Yang, Susan Dumais, Paul Bennett, Ahmed Awadallah

Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017) | December 2017

Video

Neural Models for Information Retrieval

November 28, 2017 | Bhaskar Mitra

In the last few years, neural representation learning approaches have achieved very good performance on many natural language processing (NLP) tasks, such as language modeling and machine translation. This suggests that neural models may also…

1:08:08

Search and information retrieval

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