REALISTA generates semantically coherent adversarial prompts via latent-space optimization over input-dependent editing directions, achieving stronger hallucination elicitation than prior realistic attacks on open-source and reasoning LLMs.
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
LLMs struggle with abstract meaning comprehension on SemEval-2021 Task 4 more than fine-tuned models, and a new bidirectional attention classifier yields small accuracy gains of 3-4%.
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REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
REALISTA generates semantically coherent adversarial prompts via latent-space optimization over input-dependent editing directions, achieving stronger hallucination elicitation than prior realistic attacks on open-source and reasoning LLMs.
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LLMs Struggle with Abstract Meaning Comprehension More Than Expected
LLMs struggle with abstract meaning comprehension on SemEval-2021 Task 4 more than fine-tuned models, and a new bidirectional attention classifier yields small accuracy gains of 3-4%.