Linlin Yu
10 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) π Renaissance Researcher (5) π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (13)
π§
Keyword Pioneer
β
The Questioner
Conferences
AAAI (3)
ICLR (2)
ACL (1)
AISTATS (1)
EMNLP (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
uncertainty estimation
(2)
out-of-distribution detection
(2)
risk management
(1)
uncertainty quantification
(1)
natural language generation
(1)
prompt engineering
(1)
named entity recognition
(1)
text summarization
(1)
incremental learning
(1)
instruction following
(1)
llm evaluation
(1)
semantic knowledge
(1)
performance evaluation
(1)
monte carlo tree search
(1)
factored action spaces
(1)
vision-language model
(1)
directed acyclic graph
(1)
entity extraction
(1)
conflict detection
(1)
posterior network
(1)
Papers
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
AAAI 2026
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
AAAI 2026
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
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
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
NAACL 2024
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
EMNLP 2024
Uncertainty-aware Graph-based Hyperspectral Image Classification
ICLR 2024
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization
NIPS 2023