25 citations · 98 across the 17 of their papers we have counts for
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cs.CL2023★ 2 cited
Positional Description Matters for Transformers Arithmetic
Ruoqi Shen, Sébastien Bubeck, Ronen Eldan +3
Transformers, central to the successes in modern Natural Language Processing, often falter on arithmetic tasks despite their vast capabilities --which paradoxically include remarka…
cs.CL2023
FiLM: Fill-in Language Models for Any-Order Generation
Tianxiao Shen, Hao Peng, Ruoqi Shen +3
Language models have become the backbone of today's AI systems. However, their predominant left-to-right generation limits the use of bidirectional context, which is essential for…