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Found 5 papers, 4 papers with code
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
This paper explores the impact of extending input lengths on the capabilities of Large Language Models (LLMs).
Transpose Attack: Stealing Datasets with Bidirectional Training
In addition, in this work we show that neural networks can be taught to systematically memorize and retrieve specific samples from datasets.
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers
Using GPT4 as the editor, we find it can successfully edit trigger shortcut in samples that fool LLMs.
Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models
The escalating debate on AI's capabilities warrants developing reliable metrics to assess machine "intelligence".
Transferability Ranking of Adversarial Examples
By leveraging a set of diverse surrogate models, our method can predict transferability of adversarial examples.
