25 citations · 29 across the 7 of their papers we have counts for
7 papers
STAIR: Semantic-Temporal Automaton for Interpretable Reasoning in Temporal Question Answering
Xinlong Dai, Jinchuan Zhang, Lei Gao +3
By leveraging large-scale pretraining, LLMs can interpret diverse temporal expressions and question formulations without task-specific training. However, existing prompt-based neur…
MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoning
Xiangjun Shi, Chong Mu, Jinchuan Zhang +3
Continual temporal knowledge graph (TKG) reasoning aims to continuously incorporate newly emerging facts while preserving previously acquired knowledge. Replay-based continual lear…
Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction
Quanjiang Guo, Sijie Wang, Jinchuan Zhang +4
Zero-shot event extraction (ZSEE) remains a significant challenge for large language models (LLMs) due to the need for complex reasoning and domain-specific understanding. Direct p…
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training
Quanjiang Guo, Jinchuan Zhang, Sijie Wang +4
Few-Shot Relation Extraction (FSRE) remains a challenging task due to the scarcity of annotated data and the limited generalization capabilities of existing models. Although large…
Learning Granularity Representation for Temporal Knowledge Graph Completion
Jinchuan Zhang, Tianqi Wan, Chong Mu +2
Temporal Knowledge Graphs (TKGs) incorporate temporal information to reflect the dynamic structural knowledge and evolutionary patterns of real-world facts. Nevertheless, TKGs are…
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
Jinchuan Zhang, Ming Sun, Chong Mu +3
Temporal Knowledge Graph (TKG) reasoning focuses on predicting events through historical information within snapshots distributed on a timeline. Existing studies mainly concentrate…
Learning Multi-graph Structure for Temporal Knowledge Graph Reasoning
Jinchuan Zhang, Bei Hui, Chong Mu +1
Temporal Knowledge Graph (TKG) reasoning that forecasts future events based on historical snapshots distributed over timestamps is denoted as extrapolation and has gained significa…