Maxime Peyrard
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
14
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks. | Dimitrios Rontogiannis, Maxime Peyrard, Nicolas Mario Baldwin, Martin Josifoski, Robert West, Dimitrios Gunopulos |
| 2026 | ACL | What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search. | Xinhao Zhang, Xi Chen, Franois Portet, Maxime Peyrard |
| 2026 | EACL | What Matters to an LLM? Behavioral and Computational Evidences from Summarization. | Yongxin Zhou, Changshun Wu, Philippe Mulhem, Didier Schwab, Maxime Peyrard |
| 2026 | LREC | Pantagruel: Unified Self-Supervised Encoders for French Text and Speech. | Phuong-Hang Le, Valentin Pelloin, Arnault Chatelain, Maryem Bouziane, Mohammed Ghennai, Qianwen Guan, Kirill Milintsevich, Salima Mdhaffar, Aidan Mannion, Nils Defauw, Shuyue Gu, Alexandre Daniel Audibert, Marco Dinarelli, Yannick Estve, Lorraine Goeuriot, Steffen Lalande, Nicolas Herv, Maximin Coavoux, Franois Portet, tienne Ollion, Marie Candito, Maxime Peyrard, Solange Rossato, Benjamin Lecouteux, Aurlie Nardy, Gilles Srasset, Vincent Segonne, Solne Evain, Diandra Fabre, Didier Schwab |
| 2025 | EMNLP | Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning. | Gagan Bhatia, Maxime Peyrard, Wei Zhao |
| 2025 | ICLR | Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? | Maxime Mloux, Silviu Maniu, Franois Portet, Maxime Peyrard |
| 2024 | ACL | 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 |
| 2024 | EACL | REFINER: Reasoning Feedback on Intermediate Representations. | Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings |
| 2024 | WSDM | Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling. | Marija Sakota, Maxime Peyrard, Robert West |
| 2023 | EACL | 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 |
| 2023 | EMNLP | Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning. | Saibo Geng, Martin Josifoski, Maxime Peyrard, Robert West |
| 2023 | EMNLP | Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction. | Martin Josifoski, Marija Sakota, Maxime Peyrard, Robert West |
| 2023 | IJCNLP | The Glass Ceiling of Automatic Evaluation in Natural Language Generation. | Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida |
| 2023 | WWW | Descartes: Generating Short Descriptions of Wikipedia Articles. | Marija Sakota, Maxime Peyrard, Robert West |
| 2022 | ECCV | Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. | Damien Teney, Maxime Peyrard, Ehsan Abbasnejad |
| 2022 | EMNLP | Invariant Language Modeling. | Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West |
| 2022 | ICWSM | On the Context-Free Ambiguity of Emoji. | Justyna Czestochowska, Kristina Gligoric, Maxime Peyrard, Yann Mentha, Michal Bien, Andrea Grtter, Anita Auer, Aris Xanthos, Robert West |
| 2022 | NAACL | GenIE: Generative Information Extraction. | Martin Josifoski, Nicola De Cao, Maxime Peyrard, Fabio Petroni, Robert West |
| 2021 | ACL | Better than Average: Paired Evaluation of NLP systems. | Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West |
| 2021 | IJCAI | A Ladder of Causal Distances. | Maxime Peyrard, Robert West |
| 2021 | IJCAI | Laughing Heads: Can Transformers Detect What Makes a Sentence Funny? | Maxime Peyrard, Beatriz Borges, Kristina Gligoric, Robert West |
| 2021 | ICWSM | Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis. | Manoel Horta Ribeiro, Kristina Gligoric, Maxime Peyrard, Florian Lemmerich, Markus Strohmaier, Robert West |
| 2020 | ACL | 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 |
| 2020 | EMNLP | KLearn: Background Knowledge Inference from Summarization Data. | Maxime Peyrard, Robert West |
| 2019 | ACL | A Simple Theoretical Model of Importance for Summarization. | Maxime Peyrard |
| 2019 | ACL | Studying Summarization Evaluation Metrics in the Appropriate Scoring Range. | Maxime Peyrard |
| 2019 | EMNLP | MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. | Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger |
| 2018 | LREC | Live Blog Corpus for Summarization. | Avinesh P. V. S., Maxime Peyrard, Christian M. Meyer |
| 2018 | NAACL | Objective Function Learning to Match Human Judgements for Optimization-Based Summarization. | Maxime Peyrard, Iryna Gurevych |
| 2017 | ACL | Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization. | Maxime Peyrard, Judith Eckle-Kohler |
| 2017 | ACL | A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments. | Maxime Peyrard, Judith Eckle-Kohler |
| 2017 | EACL | LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test. | Michael Bugert, Yevgeniy Puzikov, Andreas Rckl, Judith Eckle-Kohler, Teresa Martin, Eugenio Martnez-Cmara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych |
| 2017 | EMNLP | Learning to Score System Summaries for Better Content Selection Evaluation. | Maxime Peyrard, Teresa Botschen, Iryna Gurevych |
| 2016 | ACL | Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization. | Maxime Peyrard, Judith Eckle-Kohler |
| 2016 | COLING | A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence. | Maxime Peyrard, Judith Eckle-Kohler |
| 2016 | COLING | 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 |