Martin Josifoski
12 papers · 2020–2026 · 8 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Research topics
Natural Language Processing
(8)
Artificial Intelligence
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Machine Learning
(7)
Core AI
(5)
Generation
(5)
Deep Learning
(4)
Applications
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Optimization & Theory
(4)
Resources & Methods
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Application Areas
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Learning Paradigms
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Models
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Keywords
large language model
(4)
information extraction
(4)
closed information extraction
(2)
text generation
(2)
knowledge distillation
(2)
language model
(2)
bayesian neural network
(2)
constrained generation
(1)
uncertainty quantification
(1)
representation learning
(1)
entity linking
(1)
named entity recognition
(1)
relation extraction
(1)
autoregressive generation
(1)
game theory
(1)
synthetic data generation
(1)
dense retrieval
(1)
data augmentation
(1)
gaussian process
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knowledge base
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Papers
Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks
AAAI 2026
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games
IJCAI 2025
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
ACL 2024
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access
ACL 2024
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
EMNLP 2023
Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
EMNLP 2023
Language Model Decoding as Likelihood–Utility Alignment
EACL 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
JMLR 2023
GenIE: Generative Information Extraction
NAACL 2022
Invariant Language Modeling
EMNLP 2022
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
ICML 2021
Scalable Zero-shot Entity Linking with Dense Entity Retrieval
EMNLP 2020