activity
20232026
most citedCaT: Balanced Continual Graph Learning with Graph Condensation

3 citations · 5 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillation

Yilun Liu, Boyu Luo, Yanran Tang +2

Reasoning over text-attributed graphs (TAGs) requires large language models (LLMs) to combine a node's text with evidence distributed across its neighbourhood. Existing methods fix…

cs.AI2026

Mendel Gödel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution

Changzhi Liu, Yilun Liu, Sikuan Yan +2

Self-improving coding agents that iteratively rewrite their own source code have demonstrated impressive performance on coding tasks. However, existing solutions generally derive s…

cs.AI2026

LLM Safety From Within: Detecting Harmful Content with Internal Representations

Difan Jiao, Yilun Liu, Ye Yuan +4

Guard models are widely used to detect harmful content in user prompts and LLM responses. However, state-of-the-art guard models rely solely on terminal-layer representations and o…

cs.AI2025

RationAnomaly: Log Anomaly Detection with Rationality via Chain-of-Thought and Reinforcement Learning

Song Xu, Yilun Liu, Minggui He +10

Logs constitute a form of evidence signaling the operational status of software systems. Automated log anomaly detection is crucial for ensuring the reliability of modern software…

cs.AI2024

Taming Text-to-Image Synthesis for Novices: User-centric Prompt Generation via Multi-turn Guidance

Yilun Liu, Minggui He, Feiyu Yao +9

The emergence of text-to-image synthesis (TIS) models has significantly influenced digital image creation by producing high-quality visuals from written descriptions. Yet these mod…