Papers › Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations

Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations

2 Oct 2023arXiv:2310.01651archive 2025-07-28

Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy Hospedales

Large language and vision-language models are rapidly being deployed in practice thanks to their impressive capabilities in instruction following, in-context learning, and so on. This raises an urgent need to carefully analyse their robustness so that stakeholders can understand if and when such models are trustworthy enough to be relied upon in any given application. In this paper, we highlight a specific vulnerability in popular models, namely permutation sensitivity in multiple-choice question answering (MCQA). Specifically, we show empirically that popular models are vulnerable to adversarial permutation in answer sets for multiple-choice prompting, which is surprising as models should ideally be as invariant to prompt permutation as humans are. These vulnerabilities persist across various model sizes, and exist in very recent language and vision-language models. Code is available at https://github.com/ys-zong/FoolyourVLLMs.

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Code

Syntology Ran 4 of 5 code samples harvested from 1 repository linked to this paper; 1 has no recorded run. Of those that ran: 1 ran · honoured contract; 3 ran · our draft was wrong.

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ys-zong/foolyourvllms officialmentioned in papermentioned on GitHubpytorch report

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5 samples harvested; 4 ran; 1 honoured the contract we drafted; 1 has no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

1ran · honoured contract
3ran · our draft was wrong
1unverified

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compute_avg_acc ys-zong/foolyourvllms/VLLMs_attack.py official repository ran · our draft was wrong no licence file found · pointer only · 2980cae2ddda9007 · report
generate_permutation_indices ys-zong/foolyourvllms/LLMs_attack.py official repository ran · honoured contract fingerprinted no licence file found · pointer only · 7d10f8a040ff812d · report
move_answers_to_position ys-zong/foolyourvllms/LLMs_attack.py official repository ran · our draft was wrong no licence file found · pointer only · 0e5b94bd06757923 · report
gen_prompt ys-zong/foolyourvllms/VLLMs_attack.py official repository unverified no licence file found · pointer only · 271092220057d5e7 · report
format_subject identical code first harvested elsewhere ran · our draft was wrong fingerprinted licence of this copy not recorded · 6ab745408cb8648b · report

Tasks

In-Context LearningInstruction FollowingLanguage ModelingLanguage ModellingMultiple Choice Question Answering (MCQA)Multiple-choiceQuestion Answering

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