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20242026
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6 papers · 1 filter

cs.AI2026

Towards Knowledgeable Deep Research: Framework and Benchmark

Wenxuan Liu, Zixuan Li, Long Bai +13

Deep Research (DR) requires LLM agents to autonomously perform multi-step information seeking, processing, and reasoning to generate comprehensive reports. In contrast to existing…

cs.AI2025

KnowCoder-V2: Deep Knowledge Analysis

Zixuan Li, Wenxuan Liu, Long Bai +13

Deep knowledge analysis tasks always involve the systematic extraction and association of knowledge from large volumes of data, followed by logical reasoning to discover insights.…

cs.AI2025

On the Evolution of Knowledge Graphs: A Survey and Perspective

Xuhui Jiang, Chengjin Xu, Yinghan Shen +6

Knowledge graphs (KGs) are structured representations of diversified knowledge. They are widely used in various intelligent applications. In this article, we provide a comprehensiv…

cs.AI2025

Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion

Muzhi Li, Cehao Yang, Chengjin Xu +5

The Knowledge Graph Completion~(KGC) task aims to infer the missing entity from an incomplete triple. Existing embedding-based methods rely solely on triples in the KG, which is vu…

cs.AI2024

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning

Muzhi Li, Cehao Yang, Chengjin Xu +5

Inductive knowledge graph completion (KGC) aims to predict missing triples with unseen entities. Recent works focus on modeling reasoning paths between the head and tail entity as…

cs.AI2024

Context Graph

Chengjin Xu, Muzhi Li, Cehao Yang +4

Knowledge Graphs (KGs) are foundational structures in many AI applications, representing entities and their interrelations through triples. However, triple-based KGs lack the conte…