← Authors

Maxime Peyrard

30 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (9) πŸ—ΊοΈ Taxonomy Completionist (46) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🀝 Dynamic Duo (14) 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (110) ❓ The Questioner (3) πŸ”₯ Unstoppable (10) πŸ’Ž Century Club (28)

Conferences

ACL (8) EMNLP (6) EACL (3) IJCNLP (3) COLING (2) IJCAI (2) NAACL (2) AAAI (1) AACL (1) ECCV (1) ICLR (1)

Top co-authors

Robert West (15) Martin Josifoski (7) Wei Zhao (6) Judith Eckle-Kohler (5) Steffen Eger (5) Yang Gao (3) Emre Kiciman (3) Barun Patra (3) Boi Faltings (2) Debjit Paul (2)

Keywords

human judgment (4) text summarization (4) large language model (3) text generation (3) language model (3) information extraction (3) multi-document summarization (3) genetic algorithm (3) paired evaluation (2) aggregation method (2) contextualized embedding (2) evaluation metric (2) earth mover distance (2) closed information extraction (2) semantic similarity (2) statistical testing (2) bradley-terry model (2) supervised learning (2) autoregressive generation (1) machine translation (1)

Papers

Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks AAAI 2026
What Matters to an LLM? Behavioral and Computational Evidences from Summarization EACL 2026
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? ICLR 2025
Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning EMNLP 2025
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia ACL 2024
REFINER: Reasoning Feedback on Intermediate Representations EACL 2024
The Glass Ceiling of Automatic Evaluation in Natural Language Generation AACL 2023
Language Model Decoding as Likelihood–Utility Alignment EACL 2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction EMNLP 2023
Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning EMNLP 2023
The Glass Ceiling of Automatic Evaluation in Natural Language Generation IJCNLP 2023
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning ECCV 2022
Invariant Language Modeling EMNLP 2022
GenIE: Generative Information Extraction NAACL 2022
Better than Average: Paired Evaluation of NLP systems ACL 2021
Better than Average: Paired Evaluation of NLP systems IJCNLP 2021
A Ladder of Causal Distances IJCAI 2021
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny? IJCAI 2021
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ACL 2020
KLearn: Background Knowledge Inference from Summarization Data EMNLP 2020
A Simple Theoretical Model of Importance for Summarization ACL 2019
Studying Summarization Evaluation Metrics in the Appropriate Scoring Range ACL 2019
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance IJCNLP 2019
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance EMNLP 2019
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization NAACL 2018
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments ACL 2017
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization ACL 2017
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization ACL 2016
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence COLING 2016
The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach COLING 2016