Papers by Alberto Carlo Maria Mancino
Are We Done with MMLU? (2025.naacl-long)
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Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile Van Krieken, Pasquale Minervini
| Challenge: | MMLU is widely adopted but its ground truth errors obscure the true capabilities of LLMs. |
| Approach: | They propose a framework for identifying dataset errors using a novel error annotation protocol and a subset of 5,700 manually re-annotated questions. |
| Outcome: | The proposed framework is based on 5,700 re-annotated questions from the MMLU benchmark. |