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20212026
most citedQuery Rewriting for Retrieval-Augmented Large Language Models

14 citations · 33 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

MEGen: Generative Backdoor into Large Language Models via Model Editing

Jiyang Qiu, Xinbei Ma, Zhuosheng Zhang +3

Large language models (LLMs) have exhibited remarkable versatility and adaptability, while their widespread adoption across various applications also raises critical safety concern…

cs.CL2024★ 1 cited

Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions

Xinbei Ma, Yiting Wang, Yao Yao +4

This paper investigates the faithfulness of multimodal large language model (MLLM) agents in a graphical user interface (GUI) environment, aiming to address the research question o…

cs.CL2024

Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities

Tianjie Ju, Yiting Wang, Xinbei Ma +7

The rapid adoption of large language models (LLMs) in multi-agent systems has highlighted their impressive capabilities in various applications, such as collaborative problem-solvi…

cs.CL2024

CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation

Xinbei Ma, Zhuosheng Zhang, Hai Zhao

Multimodal large language models (MLLMs) have shown remarkable potential as human-like autonomous language agents to interact with real-world environments, especially for graphical…

cs.CL2024

On the Robustness of Editing Large Language Models

Xinbei Ma, Tianjie Ju, Jiyang Qiu +4

Large language models (LLMs) have played a pivotal role in building communicative AI, yet they encounter the challenge of efficient updates. Model editing enables the manipulation…