Duygu Nur Yaldiz
7 papers · 2024–2025 · 5 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 · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Natural Language Processing
(4)
Resources & Methods
(4)
Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Models
(2)
Applications
(1)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(1)
Understanding
(1)
Keywords
large language model
(4)
uncertainty estimation
(4)
generative model
(2)
token probability
(2)
generative language model
(2)
catastrophic forgetting
(2)
class-incremental learning
(1)
coreference resolution
(1)
natural language understanding
(1)
task confusion
(1)
generative model evaluation
(1)
hallucination detection
(1)
gradient projection
(1)
scoring function
(1)
linguistic analysis
(1)
semantic scoring
(1)
long-form generation
(1)
truthfulness prediction
(1)
threshold selection
(1)
output evaluation
(1)
Papers
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs
NAACL 2025
Reconsidering LLM Uncertainty Estimation Methods in the Wild
ACL 2025
TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs
EMNLP 2025
Un-considering Contextual Information: Assessing LLMs’ Understanding of Indexical Elements
ACL 2025
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
ECCV 2024
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
ICLR 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
ACL 2024