Maxime Peyrard

According to our database, Maxime Peyrard authored at least 46 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Era of Semantic Decoding.

Maxime Peyrard, Martin Josifoski, Robert West

CoRR, 2024

Symbolic Autoencoding for Self-Supervised Sequence Learning.

Mohammad Hossein Amani, Nicolas Mario Baldwin, Amin Mansouri, Martin Josifoski, Maxime Peyrard, Robert West

CoRR, 2024

Evaluating Language Model Agency through Negotiations.

Tim R. Davidson, Veniamin Veselovsky, Martin Josifoski, Maxime Peyrard, Antoine Bosselut, Michal Kosinski, Robert West

CoRR, 2024

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling.

Marija Sakota, Maxime Peyrard, Robert West

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

REFINER: Reasoning Feedback on Intermediate Representations.

Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia.

Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West

CoRR, 2023

Flows: Building Blocks of Reasoning and Collaborating AI.

Martin Josifoski, Lars Henning Klein, Maxime Peyrard, Yifei Li, Saibo Geng, Julian Paul Schnitzler, Yuxing Yao, Jiheng Wei, Debjit Paul, Robert West

CoRR, 2023

Flexible Grammar-Based Constrained Decoding for Language Models.

Saibo Geng, Martin Josifosky, Maxime Peyrard, Robert West

CoRR, 2023

Descartes: Generating Short Descriptions of Wikipedia Articles.

Marija Sakota, Maxime Peyrard, Robert West

Proceedings of the ACM Web Conference 2023, 2023

The Glass Ceiling of Automatic Evaluation in Natural Language Generation.

Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction.

Martin Josifoski, Marija Sakota, Maxime Peyrard, Robert West

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning.

Saibo Geng, Martin Josifoski, Maxime Peyrard, Robert West

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Model Decoding as Likelihood-Utility Alignment.

Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Language Model Decoding as Likelihood-Utility Alignment.

Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings, Robert West

CoRR, 2022

Distribution inference risks: Identifying and mitigating sources of leakage.

Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West

CoRR, 2022

On the Context-Free Ambiguity of Emoji: A Data-Driven Study of 1, 289 Emojis.

Justyna Czestochowska, Kristina Gligoric, Maxime Peyrard, Yann Mentha, Michal Bien, Andrea Grütter, Anita Auer, Aris Xanthos, Robert West

CoRR, 2022

GenIE: Generative Information Extraction.

Martin Josifoski, Nicola De Cao, Maxime Peyrard, Fabio Petroni, Robert West

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

On the Context-Free Ambiguity of Emoji.

Justyna Czestochowska, Kristina Gligoric, Maxime Peyrard, Yann Mentha, Michal Bien, Andrea Grütter, Anita Auer, Aris Xanthos, Robert West

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Invariant Language Modeling.

Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning.

Damien Teney, Maxime Peyrard, Ehsan Abbasnejad

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Live blog summarization.

P. V. S. Avinesh, Maxime Peyrard, Christian M. Meyer

Lang. Resour. Evaluation, 2021

GenIE: Generative Information Extraction.

Martin Josifoski, Nicola De Cao, Maxime Peyrard, Robert West

CoRR, 2021

Invariant Language Modeling.

Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West

CoRR, 2021

Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?

Maxime Peyrard, Beatriz Borges, Kristina Gligoric, Robert West

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Ladder of Causal Distances.

Maxime Peyrard, Robert West

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis.

Manoel Horta Ribeiro, Kristina Gligoric, Maxime Peyrard, Florian Lemmerich, Markus Strohmaier, Robert West

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Better than Average: Paired Evaluation of NLP systems.

Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis.

Kristina Gligoric, Manoel Horta Ribeiro, Martin Müller, Olesia Altunina, Maxime Peyrard, Marcel Salathé, Giovanni Colavizza, Robert West

CoRR, 2020

Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions.

Manoel Horta Ribeiro, Kristina Gligoric, Maxime Peyrard, Florian Lemmerich, Markus Strohmaier, Robert West

CoRR, 2020

KLearn: Background Knowledge Inference from Summarization Data.

Maxime Peyrard, Robert West

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation.

Wei Zhao, Goran Glavas, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Principled Approaches to Automatic Text Summarization.

Maxime Peyrard

PhD thesis, 2019

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance.

Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Studying Summarization Evaluation Metrics in the Appropriate Scoring Range.

Maxime Peyrard

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Simple Theoretical Model of Importance for Summarization.

Maxime Peyrard

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations.

Andreas Rücklé, Steffen Eger, Maxime Peyrard, Iryna Gurevych

CoRR, 2018

A Formal Definition of Importance for Summarization.

Maxime Peyrard

CoRR, 2018

Objective Function Learning to Match Human Judgements for Optimization-Based Summarization.

Maxime Peyrard, Iryna Gurevych

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Live Blog Corpus for Summarization.

Avinesh P. V. S., Maxime Peyrard, Christian M. Meyer

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017

Learning to Score System Summaries for Better Content Selection Evaluation.

Maxime Peyrard, Teresa Botschen, Iryna Gurevych

Proceedings of the Workshop on New Frontiers in Summarization, 2017

LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test.

Michael Bugert, Yevgeniy Puzikov, Andreas Rücklé, Judith Eckle-Kohler, Teresa Martin, Eugenio Martínez-Cámara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych

Proceedings of the 2nd Workshop on Linking Models of Lexical, 2017

A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments.

Maxime Peyrard, Judith Eckle-Kohler

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization.

Maxime Peyrard, Judith Eckle-Kohler

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach.

Markus Zopf, Maxime Peyrard, Judith Eckle-Kohler

Proceedings of the COLING 2016, 2016

A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence.

Maxime Peyrard, Judith Eckle-Kohler

Proceedings of the COLING 2016, 2016

Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization.

Maxime Peyrard, Judith Eckle-Kohler

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016