Daniel Dajun Zeng
11 papers · 2020–2026 · 4 conferences · across top CS/AI conferences
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Academic Marathon
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Keyword Collector
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Conferences
AAAI (4)
EMNLP (3)
ACL (2)
ICML (2)
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Keywords
large language model
(2)
knowledge retrieval
(2)
zero-shot learning
(1)
transfer learning
(1)
epistemic uncertainty
(1)
mathematical reasoning
(1)
knowledge distillation
(1)
layer-wise analysis
(1)
data augmentation
(1)
in-context learning
(1)
knowledge representation
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information retrieval
(1)
factual knowledge
(1)
adversarial training
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instruction tuning
(1)
theorem proving
(1)
language model
(1)
out-of-distribution detection
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user satisfaction
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adversarial robustness
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Papers
Reinforcement LearningβGuided Adaptive Tuning for Out-of-Distribution Harmful Text Detection
ACL 2026
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
AAAI 2025
Learning Dynamics in Continual Pre-Training for Large Language Models
ICML 2025
POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation
EMNLP 2025
Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?
ACL 2025
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data
AAAI 2025
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models
AAAI 2025
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
EMNLP 2024
An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification
EMNLP 2024
DAG-Based Column Generation for Adversarial Team Games
ICML 2024
Session-Level User Satisfaction Prediction for Customer Service Chatbot in E-Commerce (Student Abstract)
AAAI 2020