activity
20162025
most citedTruthDiscover: Resolving Object Conflicts on Massive Linked Data

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs

Shihao Qi, Jie Ma, Ziang Yin +5

Existing methods usually leverage a fixed strategy, such as natural language reasoning, code-augmented reasoning, tool-integrated reasoning, or ensemble-based reasoning, to guide L…

cs.AI2025★ 1 cited

GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction

Jian Zhang, Bifan Wei, Shihao Qi +3

The construction of Generalized Knowledge Graph (GKG), including knowledge graph, event knowledge graph and commonsense knowledge graph, is fundamental for various natural language…

cs.CL2024

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction

Jian Zhang, Changlin Yang, Haiping Zhu +3

Document-level Event Argument Extraction (DEAE) aims to identify arguments and their specific roles from an unstructured document. The advanced approaches on DEAE utilize prompt-ba…

cs.AI2023

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text

Fangzhi Xu, Jun Liu, Qika Lin +3

Logical reasoning task involves diverse types of complex reasoning over text, based on the form of multiple-choice question answering. Given the context, question and a set of opti…

cs.DB2016★ 1 cited

TruthDiscover: Resolving Object Conflicts on Massive Linked Data

Wenqiang Liu, Jun Liu, Jian Zhang +2

Considerable effort has been made to increase the scale of Linked Data. However, because of the openness of the Semantic Web and the ease of extracting Linked Data from semi-struct…