一作ACL 2026Findings· Findings of ACL
More Agents Improve Math Problem Solving but Adversarial Robustness Gap Persists
Khashayar Alavi · Zhastay Yeltay · Lucie Flek · Akbar Karimi
摘要
When LLM agents work together, they seem to be more powerful than a single LLM in mathematical question answering. However, are they also more robust to adversarial inputs? We investigate this question using adversarially perturbed math questions. These perturbations include punctuation noise wit...