Maxime Peyrard

78 papers A* 10A 3B 3Journal 41Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks. AAAI Dimitrios Rontogiannis, Maxime Peyrard, Nicolas Mario Baldwin, Martin Josifoski, Robert West, Dimitrios Gunopulos
2026	J	`jnl`	Pantagruel: Unified Self-Supervised Encoders for French Text and Speech. CoRR Phuong-Hang Le, Valentin Pelloin, Arnault Chatelain, Maryem Bouziane, Mohammed Ghennai, Qianwen Guan, Kirill Milintsevich, Salima Mdhaffar, Aidan Mannion, Nils Defauw, Shuyue Gu, Alexandre Audibert, Marco Dinarelli, Yannick Estève, Lorraine Goeuriot, Steffen Lalande, Nicolas Hervé, Maximin Coavoux, François Portet, Étienne Ollion, Marie Candito, Maxime Peyrard, Solange Rossato, Benjamin Lecouteux, Aurélie Nardy, Gilles Sérasset, Vincent Segonne, Solène Evain, Diandra Fabre, Didier Schwab
2026	—	`conf`	What Matters to an LLM? Behavioral and Computational Evidences from Summarization. EACL (Findings) Yongxin Zhou, Changshun Wu, Philippe Mulhem, Didier Schwab, Maxime Peyrard
2026	J	`jnl`	What Matters to an LLM? Behavioral and Computational Evidences from Summarization. CoRR Yongxin Zhou, Changshun Wu, Philippe Mulhem, Didier Schwab, Maxime Peyrard
2026	J	`jnl`	What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time? CoRR Gagan Bhatia, Ahmad Muhammad Isa, Maxime Peyrard, Wei Zhao
2025	A*	`conf`	Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning. EMNLP Gagan Bhatia, Maxime Peyrard, Wei Zhao
2025	J	`jnl`	Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning. CoRR Gagan Bhatia, Maxime Peyrard, Wei Zhao
2025	J	`jnl`	EuroBERT: Scaling Multilingual Encoders for European Languages. CoRR Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, André F. T. Martins, Ayoub Hammal, Caio Corro, Céline Hudelot, Emmanuel Malherbe, Etienne Malaboeuf, Fanny Jourdan, Gabriel Hautreux, João Alves, Kevin El Haddad, Manuel Faysse, Maxime Peyrard, Nuno Miguel Guerreiro, Patrick Fernandes, Ricardo Rei, Pierre Colombo
2025	A*	`conf`	Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? ICLR Maxime Méloux, Silviu Maniu, François Portet, Maxime Peyrard
2025	J	`jnl`	Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? CoRR Maxime Méloux, Silviu Maniu, François Portet, Maxime Peyrard
2025	J	`jnl`	Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks. CoRR Dimitrios Rontogiannis, Maxime Peyrard, Nicolas Mario Baldwin, Martin Josifoski, Robert West, Dimitrios Gunopulos
2025	J	`jnl`	MIST: Mutual Information Via Supervised Training. CoRR German Gritsai, Megan Richards, Maxime Méloux, Kyunghyun Cho, Maxime Peyrard
2025	J	`jnl`	Mechanistic Interpretability as Statistical Estimation: A Variance Analysis of EAP-IG. CoRR Maxime Méloux, François Portet, Maxime Peyrard
2025	J	`jnl`	Meta-Statistical Learning: Supervised Learning of Statistical Inference. CoRR Maxime Peyrard, Kyunghyun Cho
2025	J	`jnl`	The Dead Salmons of AI Interpretability. CoRR Maxime Méloux, Giada Dirupo, François Portet, Maxime Peyrard
2025	J	`jnl`	zip2zip: Inference-Time Adaptive Vocabularies for Language Models via Token Compression. CoRR Saibo Geng, Nathan Ranchin, Yunzhen Yao, Maxime Peyrard, Chris Wendler, Michael Gastpar, Robert West
2024	—	`conf`	A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. ACL (1) Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
2024	J	`jnl`	Evaluating Language Model Agency through Negotiations. CoRR Tim R. Davidson, Veniamin Veselovsky, Martin Josifoski, Maxime Peyrard, Antoine Bosselut, Michal Kosinski, Robert West
2024	A	`conf`	Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling. WSDM Marija Sakota, Maxime Peyrard, Robert West
2024	—	`conf`	REFINER: Reasoning Feedback on Intermediate Representations. EACL (1) Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings
2024	J	`jnl`	Symbolic Autoencoding for Self-Supervised Sequence Learning. CoRR Mohammad Hossein Amani, Nicolas Mario Baldwin, Amin Mansouri, Martin Josifoski, Maxime Peyrard, Robert West
2024	J	`jnl`	The Era of Semantic Decoding. CoRR Maxime Peyrard, Martin Josifoski, Robert West
2023	J	`jnl`	A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. CoRR Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
2023	A*	`conf`	Descartes: Generating Short Descriptions of Wikipedia Articles. WWW Marija Sakota, Maxime Peyrard, Robert West
2023	—	`conf`	Distribution Inference Risks: Identifying and Mitigating Sources of Leakage. SaTML Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West
2023	A*	`conf`	Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction. EMNLP Martin Josifoski, Marija Sakota, Maxime Peyrard, Robert West
2023	J	`jnl`	Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction. CoRR Martin Josifoski, Marija Sakota, Maxime Peyrard, Robert West
2023	J	`jnl`	Flexible Grammar-Based Constrained Decoding for Language Models. CoRR Saibo Geng, Martin Josifosky, Maxime Peyrard, Robert West
2023	J	`jnl`	Flows: Building Blocks of Reasoning and Collaborating AI. CoRR Martin Josifoski, Lars Henning Klein, Maxime Peyrard, Yifei Li, Saibo Geng, Julian Paul Schnitzler, Yuxing Yao, Jiheng Wei, Debjit Paul, Robert West
2023	J	`jnl`	Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling. CoRR Marija Sakota, Maxime Peyrard, Robert West
2023	A*	`conf`	Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning. EMNLP Saibo Geng, Martin Josifoski, Maxime Peyrard, Robert West
2023	—	`conf`	Language Model Decoding as Likelihood-Utility Alignment. EACL (Findings) Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings
2023	J	`jnl`	REFINER: Reasoning Feedback on Intermediate Representations. CoRR Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings
2023	—	`conf`	The Glass Ceiling of Automatic Evaluation in Natural Language Generation. IJCNLP (Findings) Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
2022	J	`jnl`	Descartes: Generating Short Descriptions of Wikipedia Articles. CoRR Marija Sakota, Maxime Peyrard, Robert West
2022	J	`jnl`	Distribution inference risks: Identifying and mitigating sources of leakage. CoRR Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West
2022	—	`conf`	GenIE: Generative Information Extraction. NAACL-HLT Martin Josifoski, Nicola De Cao, Maxime Peyrard, Fabio Petroni, Robert West
2022	A*	`conf`	Invariant Language Modeling. EMNLP Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
2022	J	`jnl`	Language Model Decoding as Likelihood-Utility Alignment. CoRR Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings, Robert West
2022	A	`conf`	On the Context-Free Ambiguity of Emoji. ICWSM Justyna Czestochowska, Kristina Gligoric, Maxime Peyrard, Yann Mentha, Michal Bien, Andrea Grütter, Anita Auer, Aris Xanthos, Robert West
2022	J	`jnl`	On the Context-Free Ambiguity of Emoji: A Data-Driven Study of 1, 289 Emojis. CoRR Justyna Czestochowska, Kristina Gligoric, Maxime Peyrard, Yann Mentha, Michal Bien, Andrea Grütter, Anita Auer, Aris Xanthos, Robert West
2022	—	`conf`	Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. ECCV (23) Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
2022	J	`jnl`	Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning. CoRR Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
2022	J	`jnl`	The Glass Ceiling of Automatic Evaluation in Natural Language Generation. CoRR Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
2021	A*	`conf`	A Ladder of Causal Distances. IJCAI Maxime Peyrard, Robert West
2021	J	`jnl`	Better than Average: Paired Evaluation of NLP Systems. CoRR Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West
2021	—	`conf`	Better than Average: Paired Evaluation of NLP systems. ACL/IJCNLP (1) Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West
2021	J	`jnl`	GenIE: Generative Information Extraction. CoRR Martin Josifoski, Nicola De Cao, Maxime Peyrard, Robert West
2021	J	`jnl`	Invariant Language Modeling. CoRR Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
2021	A*	`conf`	Laughing Heads: Can Transformers Detect What Makes a Sentence Funny? IJCAI Maxime Peyrard, Beatriz Borges, Kristina Gligoric, Robert West
2021	J	`jnl`	Laughing Heads: Can Transformers Detect What Makes a Sentence Funny? CoRR Maxime Peyrard, Beatriz Borges, Kristina Gligoric, Robert West
2021	J	`jnl`	Live blog summarization. Lang. Resour. Evaluation P. V. S. Avinesh, Maxime Peyrard, Christian M. Meyer
2021	A	`conf`	Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis. ICWSM Manoel Horta Ribeiro, Kristina Gligoric, Maxime Peyrard, Florian Lemmerich, Markus Strohmaier, Robert West
2020	J	`jnl`	A Ladder of Causal Distances. CoRR Maxime Peyrard, Robert West
2020	J	`jnl`	Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis. CoRR Kristina Gligoric, Manoel Horta Ribeiro, Martin Müller, Olesia Altunina, Maxime Peyrard, Marcel Salathé, Giovanni Colavizza, Robert West
2020	—	`conf`	KLearn: Background Knowledge Inference from Summarization Data. EMNLP (Findings) Maxime Peyrard, Robert West
2020	J	`jnl`	KLearn: Background Knowledge Inference from Summarization Data. CoRR Maxime Peyrard, Robert West
2020	A*	`conf`	On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. ACL Wei Zhao, Goran Glavas, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger
2020	J	`jnl`	On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. CoRR Wei Zhao, Goran Glavas, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger
2020	—	`ed.`	Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2020, Online, November 20, 2020 Eval4NLP Steffen Eger, Yang Gao, Maxime Peyrard, Wei Zhao, Eduard H. Hovy
2020	J	`jnl`	Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions. CoRR Manoel Horta Ribeiro, Kristina Gligoric, Maxime Peyrard, Florian Lemmerich, Markus Strohmaier, Robert West
2019	—	`conf`	A Simple Theoretical Model of Importance for Summarization. ACL (1) Maxime Peyrard
2019	—	`conf`	MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. EMNLP/IJCNLP (1) Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger
2019	J	`jnl`	MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. CoRR Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger
2019	—	`—`	Principled Approaches to Automatic Text Summarization. Maxime Peyrard
2019	—	`conf`	Studying Summarization Evaluation Metrics in the Appropriate Scoring Range. ACL (1) Maxime Peyrard
2018	J	`jnl`	A Formal Definition of Importance for Summarization. CoRR Maxime Peyrard
2018	J	`jnl`	Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations. CoRR Andreas Rücklé, Steffen Eger, Maxime Peyrard, Iryna Gurevych
2018	B	`conf`	Live Blog Corpus for Summarization. LREC Avinesh P. V. S., Maxime Peyrard, Christian M. Meyer
2018	J	`jnl`	Live Blog Corpus for Summarization. CoRR Avinesh P. V. S., Maxime Peyrard, Christian M. Meyer
2018	—	`conf`	Objective Function Learning to Match Human Judgements for Optimization-Based Summarization. NAACL-HLT (2) Maxime Peyrard, Iryna Gurevych
2017	—	`conf`	A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments. ACL (2) Maxime Peyrard, Judith Eckle-Kohler
2017	—	`conf`	LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test. LSDSem@EACL Michael Bugert, Yevgeniy Puzikov, Andreas Rücklé, Judith Eckle-Kohler, Teresa Martin, Eugenio Martínez-Cámara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych
2017	—	`conf`	Learning to Score System Summaries for Better Content Selection Evaluation. NFiS@EMNLP Maxime Peyrard, Teresa Botschen, Iryna Gurevych
2017	—	`conf`	Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization. ACL (1) Maxime Peyrard, Judith Eckle-Kohler
2016	B	`conf`	A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence. COLING Maxime Peyrard, Judith Eckle-Kohler
2016	—	`conf`	Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization. ACL (1) Maxime Peyrard, Judith Eckle-Kohler
2016	B	`conf`	The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach. COLING Markus Zopf, Maxime Peyrard, Judith Eckle-Kohler