Maxime Peyrard
Orcid: 0000-0003-4782-6603
According to our database1,
Maxime Peyrard
authored at least 46 papers
between 2016 and 2024.
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Bibliography
2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
2022
CoRR, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
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.
CoRR, 2020
CoRR, 2020
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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations.
CoRR, 2018
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
2017
Proceedings of the Workshop on New Frontiers in Summarization, 2017
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.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization.
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.
Proceedings of the COLING 2016, 2016
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence.
Proceedings of the COLING 2016, 2016
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016