Zhijing Wu
18 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Artificial Intelligence
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Natural Language Processing
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Machine Learning
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Deep Learning
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Learning Types · Deep Learning
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Generation
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Learning Types · Machine Learning
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Optimization & Theory
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Keywords
large language model
(8)
semantic parsing
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domain adaptation
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question answering
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retrieval-augmented generation
(2)
machine reading comprehension
(2)
pre-trained language model
(2)
knowledge base question answering
(2)
dialogue generation
(2)
hallucination detection
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semantic analysis
(1)
language modeling
(1)
few-shot learning
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reading comprehension
(1)
adversarial learning
(1)
text generation
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iterative refinement
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adversarial robustness
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knowledge base
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graph structure
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Papers
WikiREVIEW: A Multi-Perspective Review Framework for Automatic Wiki-Style Article Generation
AAAI 2026
Your Reasoning Model Knows What Counts: Self-Guided Chain-of-Thought Pruning for Efficient Reasoning
ACL 2026
A Persona-Aware LLM-Enhanced Framework for Multi-Session Personalized Dialogue Generation
ACL 2025
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models
AAAI 2025
CompKBQA: Component-wise Task Decomposition for Knowledge Base Question Answering
EMNLP 2025
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
IJCAI 2025
FlashBack: Efficient Retrieval-Augmented Language Modeling for Fast Inference
ACL 2025
GRV-KBQA: A Three-Stage Framework for Knowledge Base Question Answering with Decoupled Logical Structure, Semantic Grounding and Structure-Aware Validation
EMNLP 2025
Path-enhanced Pre-trained Language Model for Knowledge Graph Completion
EMNLP 2025
SimVBG: Simulating Individual Values by Backstory Generation
EMNLP 2025
Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering
EMNLP 2024
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
ACL 2024
PEK: A Parameter-Efficient Framework for Knowledge-Grounded Dialogue Generation
ACL 2024
Separation and Fusion: A Novel Multiple Token Linking Model for Event Argument Extraction
NAACL 2024
Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models
ACL 2024
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction
COLING 2022
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
NAACL 2022
A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract)
AAAI 2020