Pierre-André Noël
6 papers · 2023–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
out-of-distribution detection
(2)
document understanding
(2)
large language model
(2)
adversarial robustness
(1)
domain generalization
(1)
benchmark suite
(1)
anomaly detection
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
question answering
(1)
language modeling
(1)
multimodal learning
(1)
language model evaluation
(1)
code generation
(1)
model uncertainty
(1)
distribution shift
(1)
gaussian mixture model
(1)
benchmark dataset
(1)
language model
(1)
relational database
(1)
Papers
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
ICLR 2025
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
NeurIPS 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
NeurIPS 2024
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
EMNLP 2024
Constraining Representations Yields Models That Know What They Don't Know
ICLR 2023
Flaky Performances When Pretraining on Relational Databases (Student Abstract)
AAAI 2023