Jiawei Gu
11 papers · 2024–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (41) 🌍 Conference Polyglot · Silver 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze
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Artificial Intelligence
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Optimization & Theory · Machine Learning
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Keywords
continual learning
(2)
graph neural network
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large language model
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mathematical reasoning
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out-of-distribution detection
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retrieval-augmented generation
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molecular property prediction
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spectral analysis
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class imbalance
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model robustness
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deep learning
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contextual retrieval
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instruction following
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information maximization
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decision making
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language model
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bias mitigation
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chain-of-thought reasoning
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reward model
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benchmark dataset
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Papers
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
ACL 2026
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
ICML 2025
GCAL: Adapting Graph Models to Evolving Domain Shifts
ICML 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
ICCV 2025
MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction
ACL 2025
NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration
IJCAI 2025
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
IJCAI 2025
Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
ACL 2025
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
ACL 2025
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models
EMNLP 2024
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
NeurIPS 2024