Papers with LLM-based intelligent agents

1 papers
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents (2024.acl-long)

Copied to clipboard

Challenge: Xi et al., 2023) show that LLM-based intelligent agents are vulnerable to backdoor attacks.
Approach: They propose to build LLM-based intelligent agents using trained LLMs and fine-tune them on data for the agent task.
Outcome: The proposed methods are robust even after fine-tuning on trusted data.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations