Jie-Jing Shao
12 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
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Conferences
ICML (4)
IJCAI (4)
AAAI (2)
NIPS (2)
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Keywords
domain adaptation
(3)
large language model
(2)
symbolic reasoning
(2)
abductive learning
(2)
semi-supervised learning
(2)
ensemble learning
(1)
knowledge representation
(1)
reinforcement learning
(1)
weakly supervised learning
(1)
open-set classification
(1)
variational inference
(1)
out-of-distribution generalization
(1)
graphical model
(1)
constraint satisfaction
(1)
maximum likelihood estimation
(1)
generalization error
(1)
curriculum learning
(1)
generalization guarantee
(1)
language model
(1)
active learning
(1)
Papers
Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models
AAAI 2026
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
ICML 2025
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
IJCAI 2025
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts
IJCAI 2025
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
IJCAI 2025
Safe Abductive Learning in the Presence of Inaccurate Rules
AAAI 2024
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
ICML 2024
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
ICML 2024
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
ICML 2023
LOG: Active Model Adaptation for Label-Efficient OOD Generalization
NIPS 2022
Robust Semi-Supervised Learning when Not All Classes have Labels
NIPS 2022
Towards Robust Model Reuse in the Presence of Latent Domains
IJCAI 2021