In the last five years, there has been a significant focus in Natural Language Processing (NLP) on developing larger Pretrained Language Models (PLMs) and introducing benchmarks such as SuperGLUE and SQuAD to measure their abilities in language understanding, reasoning, and reading comprehension. These PLMs have achieved impressive results on these benchmarks, even surpassing human performance in some cases. This has led to claims of superhuman capabilities and the provocative idea that certain tasks have been solved. In this position paper, we take a critical look at these claims and ask whether PLMs truly have superhuman abilities and what the current benchmarks are really evaluating. We show that these benchmarks have serious limitations affecting the comparison between humans and PLMs and provide recommendations for fairer and more transparent benchmarks.
2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Pages -
What's the Meaning of Superhuman Performance in Today's NLU? (04b Atto di convegno in volume)
Tedeschi Simone, Bos Johan, Declerck THIERRY CHRISTIAN P., Hajič Jan, Hershcovich Daniel, Hovy EDUARD HENDRIK, Koller ALEXANDER CHRISTIAN, Krek Simon, Schockaert Steven, Sennrich RICO BEAT, Shutova Ekaterina, Navigli Roberto