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D-Index & Metrics

Computer Science

D-Index
51
Citations
17098
World Ranking
5218
National Ranking
2397

Overview

Michel Galley is a researcher affiliated with Microsoft in the United States, primarily contributing to the field of computer science. Their research output spans 81 publications, predominantly focused on artificial intelligence, which accounts for 71 of these works. Other subfields of study in their portfolio include computer vision and pattern recognition, information systems, management science and operations research, and molecular biology.

Their research explores several main topics, with significant attention dedicated to topic modeling and natural language processing techniques. Additional areas of study include multimodal machine learning applications, speech and dialogue systems, advanced text analysis techniques, machine learning in healthcare, and text readability and simplification.

Michel Galley's frequent collaborators have included Jianfeng Gao, Baolin Peng, Bill Dolan, Yizhe Zhang, and Chris Brockett. These coauthor relationships have resulted in numerous joint publications.

The venues in which Michel Galley has frequently published include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Computer Speech & Language
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Findings of the Association for Computational Linguistics: ACL 2022

Recent notable papers include:

  • "Instruction Tuning with GPT-4" (2023, arXiv)
  • "Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback" (2023, arXiv)
  • "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models" (2023, arXiv)
  • "A Controllable Model of Grounded Response Generation" (2021, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "Rethinking Interpretability in the Era of Large Language Models" (2024, arXiv)

Best Publications

  • A Diversity-Promoting Objective Function for Neural Conversation Models

    Jiwei Li;Michel Galley;Chris Brockett;Jianfeng Gao

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Dan Jurafsky

  • DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

    Yizhe Zhang;Siqi Sun;Michel Galley;Yen-Chun Chen

  • A Persona-Based Neural Conversation Model

    Jiwei Li;Michel Galley;Chris Brockett;Georgios P. Spithourakis

  • A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

    Alessandro Sordoni;Michel Galley;Michael Auli;Chris Brockett

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Michel Galley

  • What’s in a translation rule?

    Michel Galley;Mark Hopkins;Kevin Knight;Daniel Marcu

  • Scalable Inference and Training of Context-Rich Syntactic Translation Models

    Michel Galley;Jonathan Graehl;Kevin Knight;Daniel Marcu

  • A Knowledge-Grounded Neural Conversation Model

    Marjan Ghazvininejad;Chris Brockett;Ming-Wei Chang;Bill Dolan

  • Discourse Segmentation of Multi-Party Conversation

    Michel Galley;Kathleen R. McKeown;Eric Fosler-Lussier;Hongyan Jing

  • Instruction Tuning with GPT-4

    Unknown

  • Neural Approaches to Conversational AI

    Jianfeng Gao;Michel Galley;Lihong Li

  • Optimizing Chinese Word Segmentation for Machine Translation Performance

    Pi-Chuan Chang;Michel Galley;Christopher D. Manning

  • Visual Storytelling

    Ting-Hao Kenneth Huang;Francis Ferraro;Nasrin Mostafazadeh;Ishan Misra

  • A Simple and Effective Hierarchical Phrase Reordering Model

    Michel Galley;Christopher D. Manning

  • Understanding emotions in text using deep learning and big data

    Ankush Chatterjee;Umang Gupta;Manoj Kumar Chinnakotla;Radhakrishnan Srikanth

  • Joint Language and Translation Modeling with Recurrent Neural Networks

    Michael Auli;Michel Galley;Chris Quirk;Geoffrey Zweig

  • Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

    Unknown

  • Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization

    Yizhe Zhang;Michel Galley;Jianfeng Gao;Zhe Gan

  • Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies

    Michel Galley;Kathleen McKeown;Julia Hirschberg;Elizabeth Shriberg

  • Neural Approaches to Conversational AI.

    Jianfeng Gao;Michel Galley;Lihong Li

  • Visual Storytelling

    Ting-Hao;Huang;Francis Ferraro;Nasrin Mostafazadeh

Frequent Co-Authors

Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Chris Brockett
Chris Brockett Microsoft (United States)
Christopher D. Manning
Christopher D. Manning Stanford University
Chris Quirk
Chris Quirk Microsoft (United States)
Margaret Mitchell
Margaret Mitchell Hugging Face
Dan Jurafsky
Dan Jurafsky Stanford University
Lucy Vanderwende
Lucy Vanderwende University of Washington
Michael Auli
Michael Auli Facebook (United States)
Kevin Knight
Kevin Knight University of Southern California
Kathleen R. McKeown
Kathleen R. McKeown Columbia University

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