Maxime Peyrard
27 papers · 2016–2026 · 10 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (40) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Champion
(4)
🧭
Keyword Pioneer
🤝
Dynamic Duo
(13)
🧬
Topic Evolution
📈
Trend Setter
🔥
Unstoppable · Silver
❓
The Questioner
(4)
💎
Century Club · Bronze
🗃️
Keyword Collector
(112)
Venues
Top co-authors
Research topics
Natural Language Processing
(18)
Machine Learning
(14)
Generation
(12)
Optimization & Theory
(11)
Artificial Intelligence
(10)
Core AI
(10)
Deep Learning
(6)
Applications
(6)
Learning Types · Machine Learning
(5)
Resources & Methods
(5)
Core Methods
(4)
Interdisciplinary
(3)
Learning Types · Deep Learning
(3)
Linguistics
(3)
Application Areas
(2)
Keywords
human judgment
(4)
text summarization
(4)
genetic algorithm
(3)
information extraction
(3)
language model
(3)
multi-document summarization
(3)
large language model
(3)
text generation
(2)
closed information extraction
(2)
supervised learning
(2)
causal inference
(2)
machine translation
(1)
named entity recognition
(1)
autoregressive generation
(1)
extractive summarization
(1)
knowledge distillation
(1)
causal discovery
(1)
summarization evaluation
(1)
relation extraction
(1)
constrained generation
(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
Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning
EMNLP 2025
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
ICLR 2025
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
ACL 2024
REFINER: Reasoning Feedback on Intermediate Representations
EACL 2024
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
Language Model Decoding as Likelihood–Utility Alignment
EACL 2023
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
IJCNLP 2023
GenIE: Generative Information Extraction
NAACL 2022
Invariant Language Modeling
EMNLP 2022
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning
ECCV 2022
A Ladder of Causal Distances
IJCAI 2021
Better than Average: Paired Evaluation of NLP systems
ACL 2021
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
IJCAI 2021
KLearn: Background Knowledge Inference from Summarization Data
EMNLP 2020
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation
ACL 2020
A Simple Theoretical Model of Importance for Summarization
ACL 2019
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
EMNLP 2019
Studying Summarization Evaluation Metrics in the Appropriate Scoring Range
ACL 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
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence
COLING 2016
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization
ACL 2016
The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach
COLING 2016