Quentin Fournier
4 papers · 2024–2025 · 2 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Research topics
Machine Learning
(4)
Natural Language Processing
(4)
Application Areas
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Resources & Methods
(3)
Artificial Intelligence
(2)
Core AI
(2)
Deep Learning
(1)
Applications
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Core Methods
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Learning Types
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Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
large language model
(2)
text classification
(1)
direct preference optimization
(1)
preference alignment
(1)
preference optimization
(1)
model pretraining
(1)
model merging
(1)
ai safety
(1)
harmful content
(1)
model alignment
(1)
parameter-efficient fine-tuning
(1)
supervised fine-tuning
(1)
parameter-efficient tuning
(1)
weight quantization
(1)
inference latency
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resource efficiency
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encoder model
(1)
domain expertise
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activation quantization
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transformer model
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Papers
Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs
ACL 2025
Small Encoders Can Rival Large Decoders in Detecting Groundedness
ACL 2025
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
ACL 2024
Exploring Quantization for Efficient Pre-Training of Transformer Language Models
EMNLP 2024