Tun Lu
12 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (38)
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Keyword Champion
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Century Club Β· Bronze
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Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Core AI
(8)
Natural Language Processing
(7)
Resources & Methods
(6)
Application Areas
(5)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Applications
(2)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Techniques
(2)
Keywords
large language model
(3)
collaborative filtering
(2)
neural tangent kernel
(2)
non-convex optimization
(1)
preference optimization
(1)
domain adaptation
(1)
online learning
(1)
computational efficiency
(1)
visual question answering
(1)
attention mechanism
(1)
efficient computing
(1)
model architecture
(1)
language model alignment
(1)
responsible ai
(1)
neural network optimization
(1)
matrix factorization
(1)
link prediction
(1)
low-rank approximation
(1)
model alignment
(1)
representation learning
(1)
Papers
IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
AAAI 2026
LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks
ACL 2026
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions
AAAI 2026
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
ICML 2025
Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMsβ Value Evaluation
ACL 2025
DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
ICLR 2024
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
EMNLP 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
NeurIPS 2024
An Intent-based and Annotation-free Method for Duplicate Question Detection in CQA Forums
EMNLP 2023
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
NeurIPS 2023
Parameter-free Dynamic Graph Embedding for Link Prediction
NeurIPS 2022
Mixture-Rank Matrix Approximation for Collaborative Filtering
NeurIPS 2017