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Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Zekun Li
|
Baolin Peng
|
Pengcheng He
|
Xifeng Yan
|
Paper Details:
Month: November
Year: 2024
Location: Miami, Florida, USA
Venue:
EMNLP |
Citations
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https://github.com/Leezekun/
https://www.anthropic.com/index/
https://www.bing.com/new
https://openai.com/blog/chatgpt-plugins
https://tatsu-lab.github.io/alpaca_eval/
https://learnprompting.org/docs/prompt_
https://learnprompting.org/docs/category/
https://huggingface.co/
https://github.com/tatsu-lab/alpaca_eval
https://openai.com/
https://crfm
https://huggingface.co/models
https://github.com/lm-sys/FastChat
https://huggingface.co/meta-llama/Llama-2-70b-chat-hf
https://huggingface.co/lmsys/vicuna-33b-v1.3
https://huggingface.co/lmsys/vicuna-13b-v1.3
https://huggingface.co/meta-llama/Llama-2-13b-chat-hf
https://huggingface.co/HuggingFaceH4/zephyr-7b-beta
https://huggingface.co/chavinlo/alpaca-native
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