large language models 2agentic systems 1episodic memory 1error diagnosis 1explainable AI 1graph-based memory 1graph neural networks 1inference scaling 1information bottleneck 1interpretability 1sparse explanations 1temporal difference learning 1
From the 3 of 8 linked papers with an AI index.
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cs.CL2025
Towards Structurally Explainable Machine-Generated Text Detection: A Graph-Perspective Framework
Xu Zheng, Zhuomin Chen, Esteban Schafir +7
Despite the success of machine-generated text detectors, the black-box nature remains a critical limitation. Traditional explainability methods rely on token-level saliency, insuff…
cs.CL2024
Protecting Your LLMs with Information Bottleneck
Zichuan Liu, Zefan Wang, Linjie Xu +6
The advent of large language models (LLMs) has revolutionized the field of natural language processing, yet they might be attacked to produce harmful content. Despite efforts to et…