Runheng Liu — accepted AI-conference papers

2025

FlashBack: Efficient Retrieval-Augmented Language Modeling for Fast Inference

Runheng Liu, Xingchen Xiao, Heyan Huang, Zewen Chi, Zhijing Wu

ACL 2025finding

Retrieval-Augmented Language Modeling (RALM) by integrating large language models (LLM) with relevant documents from an external corpus is a proven methodology for enabling the LLM to generate information beyond the scope of its pre-training corpus. Previous work by retrieving a set of tokens iterat…

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2025

Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model

Runheng Liu, Heyan Huang, Xingchen Xiao, Zhijing Wu

NeurIPS 2025poster

Large language models (LLMs) have demonstrated remarkable capabilities across various tasks. However, their ability to generate human-like text has raised concerns about potential misuse. This underscores the need for reliable and effective methods to detect LLM-generated text. In this paper, we pr…

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