Weibo Gao
15 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (8)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(8)
🏆
Grand Slam
👑
Triple Crown
🤝
Dynamic Duo
(12)
💎
Century Club
(13)
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(74)
❓
The Questioner
Conferences
AAAI (5)
ACL (3)
NIPS (3)
EMNLP (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
large language model
(5)
recommender system
(3)
personalized learning
(3)
cognitive diagnosis
(3)
learner modeling
(2)
adaptive learning
(2)
generative agent
(2)
knowledge tracing
(2)
student modeling
(2)
adaptive testing
(2)
agent system
(2)
reinforcement learning
(2)
educational technology
(2)
personalized recommendation
(2)
item response theory
(1)
false discovery rate
(1)
data augmentation
(1)
model selection
(1)
zero-shot learning
(1)
knowledge transfer
(1)
Papers
Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning
AAAI 2026
Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees
ACL 2026
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
ACL 2025
GenAL: Generative Agent for Adaptive Learning
AAAI 2025
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
AAAI 2025
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
ACL 2025
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning
EMNLP 2025
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
IJCAI 2025
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
NIPS 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
NIPS 2024
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
AAAI 2024
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control
AAAI 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
ICLR 2024
Federated Self-Explaining GNNs with Anti-shortcut Augmentations
ICML 2024
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
NIPS 2023