Xujiang Zhao
22 papers · 2020–2026 · 8 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.
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Research topics
Artificial Intelligence
(17)
Core AI
(15)
Machine Learning
(14)
Application Areas
(7)
Optimization & Theory
(7)
Learning Types Β· Machine Learning
(6)
Deep Learning
(4)
Natural Language Processing
(4)
Learning Paradigms
(3)
Applications
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Architectures
(1)
Keywords
large language model
(8)
out-of-distribution detection
(4)
uncertainty quantification
(3)
uncertainty estimation
(3)
domain adaptation
(3)
language model
(2)
vision-language model
(2)
semi-supervised learning
(2)
few-shot learning
(1)
multi-task learning
(1)
continual learning
(1)
epistemic uncertainty
(1)
knowledge extraction
(1)
coreset selection
(1)
prompt engineering
(1)
black-box optimization
(1)
question answering
(1)
cross-lingual transfer
(1)
domain generalization
(1)
in-context learning
(1)
Papers
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
EACL 2026
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
EACL 2026
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
AAAI 2026
Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
ACL 2026
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
EACL 2026
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
AAAI 2026
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
ACL 2026
Uncertainty-Aware Test-Time Search for Optimization Problem Solving
ACL 2026
MixLLM: Dynamic Routing in Mixed Large Language Models
NAACL 2025
Position Really Matters: Towards a Holistic Approach for Prompt Tuning
NAACL 2025
SFS: Smarter Code Space Search improves LLM Inference Scaling
ICLR 2025
Uncertainty Propagation on LLM Agent
ACL 2025
Large Language Models Can Be Contextual Privacy Protection Learners
EMNLP 2024
Pruning as a Domain-specific LLM Extractor
NAACL 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
IJCAI 2024
Uncertainty Quantification for In-Context Learning of Large Language Models
NAACL 2024
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates
EMNLP 2023
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
EMNLP 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks
AAAI 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
NeurIPS 2021
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
NeurIPS 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data
NeurIPS 2020