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20222026
most citedHeterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples

33 citations · 47 across the 21 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection

Bochen Lin, Jianxiang Yu, Jiayi Wu +3

Graph anomaly detection (GAD) on text-attributed graphs (TAGs) is vital for applications such as fraud detection and academic integrity verification. Existing approaches generally…

cs.CL2026

Skill is Not One-Size-Fits-All: Model-Aware Skill Alignment for LLM Agents

Jianxiang Yu, Jiapeng Zhu, Bochen Lin +3

LLM agents increasingly retrieve externally curated skills-procedural instructions retrieved at decision time-to improve performance on long-horizon interactive tasks. Existing ski…

cs.CL2026

Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning

Jiapeng Zhu, Jianxiang Yu, Yibo Zhao +5

Equipping large language models with explicit skills has emerged as a promising paradigm for enabling autonomous agents to solve complex tasks. Agent skills can be inherently divid…

cs.CL2026

Beyond Chunk-Local Extraction: Cross-Chunk Graph Augmentation for GraphRAG

Jiaming Zhang, Yibo Zhao, Jing Yu +2

GraphRAG extends retrieval-augmented generation by organizing corpora as explicit knowledge graphs, enabling graph-based retrieval for complex question answering. However, existing…

cs.CL2025

Breaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon

Xuchen Ma, Jianxiang Yu, Wenming Shao +2

Social media platforms have experienced a significant rise in toxic content, including abusive language and discriminatory remarks, presenting growing challenges for content modera…

cs.CL2024

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis

Jianxiang Yu, Zichen Ding, Jiaqi Tan +10

In recent years, the rapid increase in scientific papers has overwhelmed traditional review mechanisms, resulting in varying quality of publications. Although existing methods have…