Michel Galley

According to our database1, Michel Galley authored at least 86 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Rethinking Interpretability in the Era of Large Language Models.
CoRR, 2024

2023
Teaching Language Models to Self-Improve through Interactive Demonstrations.
CoRR, 2023

MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.
CoRR, 2023

Self-Verification Improves Few-Shot Clinical Information Extraction.
CoRR, 2023

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.
CoRR, 2023

Instruction Tuning with GPT-4.
CoRR, 2023

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.
CoRR, 2023

Guiding Large Language Models via Directional Stimulus Prompting.
CoRR, 2023

Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Guiding Large Language Models via Directional Stimulus Prompting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interactive Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog.
CoRR, 2022

GODEL: Large-Scale Pre-Training for Goal-Directed Dialog.
CoRR, 2022

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Probing Factually Grounded Content Transfer with Factual Ablation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Overview of the Eighth Dialog System Technology Challenge: DSTC8.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment.
CoRR, 2021

Joint Retrieval and Generation Training for Grounded Text Generation.
CoRR, 2021

An Adversarially-Learned Turing Test for Dialog Generation Models.
CoRR, 2021

Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Text Editing by Command.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Automatic Document Sketching: Generating Drafts from Analogous Texts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Controllable Model of Grounded Response Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Overview of the seventh Dialog System Technology Challenge: DSTC7.
Comput. Speech Lang., 2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.
AI Mag., 2020

Dialogue Response Ranking Training with Large-Scale Human Feedback Data.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
Neural Approaches to Conversational AI.
Found. Trends Inf. Retr., 2019

The Eighth Dialog System Technology Challenge.
CoRR, 2019

Consistent Dialogue Generation with Self-supervised Feature Learning.
CoRR, 2019

Dialog System Technology Challenge 7.
CoRR, 2019

Understanding Emotions in Text Using Deep Learning and Big Data.
Comput. Hum. Behav., 2019

Towards Content Transfer through Grounded Text Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Jointly Optimizing Diversity and Relevance in Neural Response Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Structuring Latent Spaces for Stylized Response Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A bird's-eye view on coherence, and a worm's-eye view on cohesion.
CoRR, 2018

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Emotional Dialogue Generation using Image-Grounded Language Models.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

A Knowledge-Grounded Neural Conversation Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016
A Persona-Based Neural Conversation Model.
CoRR, 2016

A Diversity-Promoting Objective Function for Neural Conversation Models.
Proceedings of the NAACL HLT 2016, 2016


Deep Reinforcement Learning for Dialogue Generation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Persona-Based Neural Conversation Model.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
On Available Corpora for Empirical Methods in Vision & Language.
CoRR, 2015

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Survey of Current Datasets for Vision and Language Research.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
AutoCaption: Automatic caption generation for personal photos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

See No Evil, Say No Evil: Description Generation from Densely Labeled Images.
Proceedings of the Third Joint Conference on Lexical and Computational Semantics, 2014

Large-scale Expected BLEU Training of Phrase-based Reordering Models.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Regularized Minimum Error Rate Training.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Joint Language and Translation Modeling with Recurrent Neural Networks.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
Direct Error Rate Minimization for Statistical Machine Translation.
Proceedings of the Seventh Workshop on Statistical Machine Translation, 2012

2011
Optimal Search for Minimum Error Rate Training.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Why Initialization Matters for IBM Model 1: Multiple Optima and Non-Strict Convexity.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Improved Models of Distortion Cost for Statistical Machine Translation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Accurate Non-Hierarchical Phrase-Based Translation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 2, 2010, Los Angeles, California, USA, 2010

2009
Measuring machine translation quality as semantic equivalence: A metric based on entailment features.
Mach. Transl., 2009

Machine Translation Evaluation with Textual Entailment Features.
Proceedings of the Fourth Workshop on Statistical Machine Translation, 2009

Robust Machine Translation Evaluation with Entailment Features.
Proceedings of the ACL 2009, 2009

Quadratic-Time Dependency Parsing for Machine Translation.
Proceedings of the ACL 2009, 2009

2008
Optimizing Chinese Word Segmentation for Machine Translation Performance.
Proceedings of the Third Workshop on Statistical Machine Translation, 2008

A Phrase-Based Alignment Model for Natural Language Inference.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

A Simple and Effective Hierarchical Phrase Reordering Model.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007
Lexicalized Markov Grammars for Sentence Compression.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

2006
A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance.
Proceedings of the EMNLP 2006, 2006

Scalable Inference and Training of Context-Rich Syntactic Translation Models.
Proceedings of the ACL 2006, 2006

Automatic Summarization of Conversational Multi-Party Speech.
Proceedings of the Proceedings, 2006

2005
From text to speech summarization.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
What's in a translation rule?
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2004

Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003
Improving Word Sense Disambiguation in Lexical Chaining.
Proceedings of the IJCAI-03, 2003

Discourse Segmentation of Multi-Party Conversation.
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003

2001
Hybrid natural language generation for spoken dialogue systems.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001


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