Linlin Yu
10 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Renaissance Researcher (5)
β
The Questioner
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Optimization & Theory
(3)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Learning Types
(2)
Understanding
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Keywords
out-of-distribution detection
(4)
uncertainty quantification
(4)
graph neural network
(2)
evidential deep learning
(2)
aleatoric uncertainty
(2)
epistemic uncertainty
(2)
uncertainty estimation
(2)
natural language generation
(1)
incremental learning
(1)
benchmark evaluation
(1)
autonomous driving
(1)
instruction following
(1)
llm evaluation
(1)
semantic knowledge
(1)
text summarization
(1)
dirichlet distribution
(1)
factored action spaces
(1)
named entity recognition
(1)
monte carlo tree search
(1)
performance evaluation
(1)
Papers
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
AAAI 2026
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
AAAI 2026
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
AAAI 2026
Uncertainty-Aware Test-Time Search for Optimization Problem Solving
ACL 2026
Evidential Uncertainty Probes for Graph Neural Networks
AISTATS 2025
Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function
ICLR 2025
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
EMNLP 2024
Uncertainty-aware Graph-based Hyperspectral Image Classification
ICLR 2024
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
NAACL 2024
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization
NeurIPS 2023