Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization. - Maxime Peyrard; Judith Eckle-Kohler (ACL (1), 2016)

A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence. - Maxime Peyrard; Judith Eckle-Kohler (COLING, 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 (COLING, 2016)

Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization. - Maxime Peyrard; Judith Eckle-Kohler (ACL (1), 2017)

A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments. - Maxime Peyrard; Judith Eckle-Kohler (ACL (2), 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 (LSDSem@EACL, 2017)

Learning to Score System Summaries for Better Content Selection Evaluation. - Maxime Peyrard; Teresa Botschen; Iryna Gurevych (NFiS@EMNLP, 2017)

Live Blog Corpus for Summarization. - Avinesh P. V. S.; Maxime Peyrard; Christian M. Meyer (LREC, 2018)

Objective Function Learning to Match Human Judgements for Optimization-Based Summarization. - Maxime Peyrard; Iryna Gurevych (NAACL-HLT (2), 2018)

A Formal Definition of Importance for Summarization. - Maxime Peyrard (CoRR, 2018)

Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations. - Andreas Rücklé; Steffen Eger; Maxime Peyrard; Iryna Gurevych (CoRR, 2018)

A Simple Theoretical Model of Importance for Summarization. - Maxime Peyrard (ACL (1), 2019)

Studying Summarization Evaluation Metrics in the Appropriate Scoring Range. - Maxime Peyrard (ACL (1), 2019)

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. - Wei Zhao 033; Maxime Peyrard; Fei Liu 004; Yang Gao 021; Christian M. Meyer; Steffen Eger (EMNLP/IJCNLP (1), 2019)

Principled Approaches to Automatic Text Summarization. - Maxime Peyrard (2019)

On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. - Wei Zhao 033; Goran Glavas; Maxime Peyrard; Yang Gao 021; Robert West 001; Steffen Eger (ACL, 2020)

KLearn: Background Knowledge Inference from Summarization Data. - Maxime Peyrard; Robert West 001 (EMNLP (Findings), 2020)

Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions. - Manoel Horta Ribeiro; Kristina Gligoric; Maxime Peyrard; Florian Lemmerich; Markus Strohmaier; Robert West 001 (CoRR, 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 001 (CoRR, 2020)

Better than Average: Paired Evaluation of NLP systems. - Maxime Peyrard; Wei Zhao 033; Steffen Eger; Robert West 001 (ACL/IJCNLP (1), 2021)

Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis. - Manoel Horta Ribeiro; Kristina Gligoric; Maxime Peyrard; Florian Lemmerich; Markus Strohmaier; Robert West 001 (ICWSM, 2021)

A Ladder of Causal Distances. - Maxime Peyrard; Robert West 001 (IJCAI, 2021)

Laughing Heads: Can Transformers Detect What Makes a Sentence Funny? - Maxime Peyrard; Beatriz Borges; Kristina Gligoric; Robert West 001 (IJCAI, 2021)

Invariant Language Modeling. - Maxime Peyrard; Sarvjeet Singh Ghotra; Martin Josifoski; Vidhan Agarwal; Barun Patra; Dean Carignan; Emre Kiciman; Robert West 001 (CoRR, 2021)

GenIE: Generative Information Extraction. - Martin Josifoski; Nicola De Cao; Maxime Peyrard; Robert West 001 (CoRR, 2021)

Live blog summarization. - P. V. S. Avinesh; Maxime Peyrard; Christian M. Meyer (Lang. Resour. Evaluation, 2021)

Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. - Damien Teney; Maxime Peyrard; Ehsan Abbasnejad (ECCV (23), 2022)

Invariant Language Modeling. - Maxime Peyrard; Sarvjeet Singh Ghotra; Martin Josifoski; Vidhan Agarwal; Barun Patra; Dean Carignan; Emre Kiciman; Saurabh Tiwary; Robert West 001 (EMNLP, 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 001 (ICWSM, 2022)

GenIE: Generative Information Extraction. - Martin Josifoski; Nicola De Cao; Maxime Peyrard; Fabio Petroni; Robert West 001 (NAACL-HLT, 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 001 (CoRR, 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 001 (CoRR, 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 (EACL (Findings), 2023)

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning. - Saibo Geng; Martin Josifoski; Maxime Peyrard; Robert West 001 (EMNLP, 2023)

Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction. - Martin Josifoski; Marija Sakota; Maxime Peyrard; Robert West 001 (EMNLP, 2023)

The Glass Ceiling of Automatic Evaluation in Natural Language Generation. - Pierre Colombo; Maxime Peyrard; Nathan Noiry; Robert West 001; Pablo Piantanida (IJCNLP (Findings), 2023)

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage. - Valentin Hartmann; Léo Meynent; Maxime Peyrard; Dimitrios Dimitriadis; Shruti Tople; Robert West 001 (SaTML, 2023)

Descartes: Generating Short Descriptions of Wikipedia Articles. - Marija Sakota; Maxime Peyrard; Robert West 001 (WWW, 2023)

Flexible Grammar-Based Constrained Decoding for Language Models. - Saibo Geng; Martin Josifosky; Maxime Peyrard; Robert West 001 (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 001 (CoRR, 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 001 (ACL (1), 2024)

REFINER: Reasoning Feedback on Intermediate Representations. - Debjit Paul; Mete Ismayilzada; Maxime Peyrard; Beatriz Borges; Antoine Bosselut; Robert West 001; Boi Faltings (EACL (1), 2024)

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling. - Marija Sakota; Maxime Peyrard; Robert West 001 (WSDM, 2024)

Evaluating Language Model Agency through Negotiations. - Tim R. Davidson; Veniamin Veselovsky; Martin Josifoski; Maxime Peyrard; Antoine Bosselut; Michal Kosinski; Robert West 001 (CoRR, 2024)

Symbolic Autoencoding for Self-Supervised Sequence Learning. - Mohammad Hossein Amani; Nicolas Mario Baldwin; Amin Mansouri; Martin Josifoski; Maxime Peyrard; Robert West 001 (CoRR, 2024)

The Era of Semantic Decoding. - Maxime Peyrard; Martin Josifoski; Robert West 001 (CoRR, 2024)

Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? - Maxime Méloux; Silviu Maniu; François Portet; Maxime Peyrard (ICLR, 2025)

Meta-Statistical Learning: Supervised Learning of Statistical Inference. - Maxime Peyrard; Kyunghyun Cho (CoRR, 2025)

EuroBERT: Scaling Multilingual Encoders for European Languages. - 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 003; et al. (CoRR, 2025)

Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning. - Gagan Bhatia; Maxime Peyrard; Wei Zhao (CoRR, 2025)

zip2zip: Inference-Time Adaptive Vocabularies for Language Models via Token Compression. - Saibo Geng; Nathan Ranchin; Yunzhen Yao; Maxime Peyrard; Chris Wendler; Michael Gastpar; Robert West 001 (CoRR, 2025)