11 citations · 16 across the 11 of their papers we have counts for
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cs.CL2024
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling
Xiang Hu, Zhihao Teng, Jun Zhao +2
Despite the success of Transformers, handling long contexts remains challenging due to the limited length generalization and quadratic complexity of self-attention. Thus Transforme…
cs.CL2024
Unsupervised Morphological Tree Tokenizer
Qingyang Zhu, Xiang Hu, Pengyu Ji +2
As a cornerstone in language modeling, tokenization involves segmenting text inputs into pre-defined atomic units. Conventional statistical tokenizers often disrupt constituent bou…
cs.CL2024★ 1 cited
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale
Xiang Hu, Pengyu Ji, Qingyang Zhu +2
A syntactic language model (SLM) incrementally generates a sentence with its syntactic tree in a left-to-right manner. We present Generative Pretrained Structured Transformers (GPS…