Vincent Perot
12 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Natural Language Processing
(8)
Applications
(7)
Core AI
(6)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Architectures
(3)
Computer Vision
(2)
Application Areas
(2)
Domain-Specific
(2)
Learning Paradigms
(2)
Computer Science
(1)
Keywords
document understanding
(4)
knowledge distillation
(3)
large language model
(3)
retrieval-augmented generation
(2)
visual document understanding
(2)
information extraction
(2)
representation learning
(2)
few-shot learning
(1)
multi-task learning
(1)
continual learning
(1)
in-context learning
(1)
question answering
(1)
named entity recognition
(1)
text generation
(1)
prompt learning
(1)
zero-shot learning
(1)
document information extraction
(1)
fact verification
(1)
multimodal learning
(1)
information retrieval
(1)
Papers
LOFT: Scalable and More Realistic Long-Context Evaluation
NAACL 2025
Reverse Thinking Makes LLMs Stronger Reasoners
NAACL 2025
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
ICLR 2025
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
ICLR 2024
CodecLM: Aligning Language Models with Tailored Synthetic Data
NAACL 2024
LMDX: Language Model-based Document Information Extraction and Localization
ACL 2024
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
ACL 2023
QueryForm: A Simple Zero-shot Form Entity Query Framework
ACL 2023
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning
ECCV 2022
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
ACL 2022
Learning To Prompt for Continual Learning
CVPR 2022
Text Classification with Few Examples using Controlled Generalization
NAACL 2019