Documents with long-range dependencies improve language models’ context training

Selecting natural documents by dependency-sensitive token statistics improved long-context performance more reliably than generic quality filters or LLM judgments.

Chinese Tech
Junlong Jia · Jiang Zhou · Xing Wu · Chaochen Gao Tinghao Yu · Feng Zhang · Lilin Wang

Hunyuan Team, Tencent

Research Digest··2 min read
Jia et al.

The authors compared repacked text with randomly sampled natural long documents, then tested several selection pipelines on the same long-document candidate pool.

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