Yige Yuan
9 papers · 2023–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(22)
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Hot Topic Early Bird
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The Questioner
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Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Learning Types · Machine Learning
(6)
Deep Learning
(5)
Core AI
(5)
Models
(3)
Optimization & Theory · Machine Learning
(3)
Natural Language Processing
(2)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Resources & Methods
(2)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
large language model
(3)
language model alignment
(2)
imitation learning
(2)
model calibration
(1)
preference optimization
(1)
direct preference optimization
(1)
domain adaptation
(1)
preference alignment
(1)
data augmentation
(1)
chain-of-thought reasoning
(1)
reinforcement learning from human feedback
(1)
test-time adaptation
(1)
instruction following
(1)
self-supervised learning
(1)
domain generalization
(1)
model alignment
(1)
covariate shift
(1)
density ratio estimation
(1)
hyperparameter tuning
(1)
reinforcement learning
(1)
Papers
Incentivizing Strong Reasoning from Weak Supervision
EACL 2026
From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment
ACL 2025
On a Connection Between Imitation Learning and RLHF
ICLR 2025
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
ICLR 2025
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
NeurIPS 2024
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
EMNLP 2024
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
AAAI 2024
TEA: Test-time Energy Adaptation
CVPR 2024
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
NeurIPS 2023