Xujiang Zhao
22 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (9)
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Academic Marathon
(5)
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Cross-Pollinator
(9)
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Dynamic Duo
(10)
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(5)
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Century Club
(14)
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Keyword Collector
(94)
Conferences
ACL (4)
NAACL (4)
AAAI (3)
EACL (3)
EMNLP (3)
NIPS (3)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(8)
out-of-distribution detection
(4)
uncertainty estimation
(3)
domain adaptation
(3)
uncertainty quantification
(3)
semi-supervised learning
(2)
language model
(2)
vision-language model
(2)
few-shot learning
(1)
epistemic uncertainty
(1)
multi-task learning
(1)
knowledge extraction
(1)
coreset selection
(1)
knowledge editing
(1)
continual learning
(1)
named entity recognition
(1)
prompt engineering
(1)
question answering
(1)
domain generalization
(1)
cross-lingual transfer
(1)
Papers
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
EACL 2026
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
AAAI 2026
Uncertainty-Aware Test-Time Search for Optimization Problem Solving
ACL 2026
Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
ACL 2026
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
ACL 2026
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
EACL 2026
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
EACL 2026
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
AAAI 2026
Position Really Matters: Towards a Holistic Approach for Prompt Tuning
NAACL 2025
MixLLM: Dynamic Routing in Mixed Large Language Models
NAACL 2025
SFS: Smarter Code Space Search improves LLM Inference Scaling
ICLR 2025
Uncertainty Propagation on LLM Agent
ACL 2025
Pruning as a Domain-specific LLM Extractor
NAACL 2024
Large Language Models Can Be Contextual Privacy Protection Learners
EMNLP 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
NIPS 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data
NIPS 2020
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
NIPS 2020