Max Ploner
8 papers · 2024–2025 · 3 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
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
❓
The Questioner
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Natural Language Processing
(6)
Core AI
(4)
Learning Types
(4)
Learning Paradigms
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Deep Learning
(1)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Generation
(1)
Models
(1)
Understanding
(1)
Keywords
transfer learning
(3)
language model
(3)
knowledge probing
(2)
relational knowledge
(2)
model selection
(2)
named entity recognition
(1)
masked language model
(1)
factual knowledge
(1)
model architecture
(1)
evaluation methodology
(1)
model editing
(1)
label shift
(1)
parameter tuning
(1)
semantic similarity
(1)
parameter-efficient fine-tuning
(1)
model generalization
(1)
pre-trained language model
(1)
zero-shot evaluation
(1)
long-tailed distribution
(1)
synthetic training data
(1)
Papers
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data
NAACL 2025
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
ACL 2025
LM-Pub-Quiz: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models
NAACL 2025
Towards a Principled Evaluation of Knowledge Editors
ACL 2025
TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks
NAACL 2025
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models
NAACL 2024
Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks
ACL 2024
Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune?
EACL 2024