Juan Pablo Munoz
8 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(7)
Core AI
(6)
Deep Learning
(4)
Application Areas
(4)
Learning Paradigms
(3)
Optimization & Theory · Machine Learning
(3)
Techniques
(2)
Natural Language Processing
(1)
Architectures
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
parameter-efficient fine-tuning
(3)
neural architecture search
(3)
model compression
(3)
low-rank adaptation
(2)
federated learning
(2)
weight sharing
(2)
low-rank adapter
(2)
large language model
(2)
transformer compression
(1)
collaborative learning
(1)
sparse model
(1)
reward model
(1)
foundation model
(1)
privacy preservation
(1)
model architecture
(1)
inference optimization
(1)
inference efficiency
(1)
retrieval-augmented generation
(1)
hidden representation
(1)
low-precision quantization
(1)
Papers
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
EACL 2026
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models
NAACL 2025
RTTC: Reward-Guided Collaborative Test-Time Compute
EMNLP 2025
EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks
COLING 2024
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
COLING 2024
LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models
COLING 2024
SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
EMNLP 2024
Automated Super-Network Generation for Scalable Neural Architecture Search
AutoML 2022