Jiawei Gu
11 papers · 2024–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (6) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (37) π§ Keyword Pioneer π Interdisciplinary Bridge
π
Conference Polyglot
(6)
ποΈ
Keyword Collector
(53)
β‘
Prolific Year
(8)
π
Century Club
(10)
β
The Questioner
Conferences
ACL (4)
ICML (2)
IJCAI (2)
EMNLP (1)
ICCV (1)
NIPS (1)
Top co-authors
Research topics
Keywords
retrieval-augmented generation
(2)
large language model
(2)
graph neural network
(2)
mathematical reasoning
(2)
molecular property prediction
(2)
out-of-distribution detection
(2)
spectral analysis
(1)
model robustness
(1)
continual learning
(1)
deep learning
(1)
class imbalance
(1)
contextual retrieval
(1)
instruction following
(1)
benchmark dataset
(1)
decision making
(1)
scaling law
(1)
reward model
(1)
chain-of-thought reasoning
(1)
language model
(1)
bias mitigation
(1)
Papers
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
ACL 2026
MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction
ACL 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
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
ICCV 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
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
ICML 2025
GCAL: Adapting Graph Models to Evolving Domain Shifts
ICML 2025
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
NIPS 2024
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models
EMNLP 2024