Jeremiah Zhe Liu
7 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(21)
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Hot Topic Early Bird
📈
Trend Setter
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Research topics
Artificial Intelligence
(6)
Deep Learning
(5)
Core AI · Artificial Intelligence
(5)
Machine Learning
(4)
Natural Language Processing
(2)
Applications
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
uncertainty quantification
(3)
semantic parsing
(2)
graph parsing
(2)
preference learning
(1)
direct preference optimization
(1)
data augmentation
(1)
reinforcement learning from human feedback
(1)
empirical risk minimization
(1)
model uncertainty
(1)
gaussian process
(1)
reward hacking
(1)
reward model
(1)
out-of-distribution detection
(1)
spurious correlation
(1)
uncertainty estimation
(1)
model ensembling
(1)
zero-shot classification
(1)
calibration error
(1)
beam search
(1)
expected calibration error
(1)
Papers
RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
ICML 2023
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
ICLR 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
ICLR 2023
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty
ACL 2022
Training independent subnetworks for robust prediction
ICLR 2021