Papers with Position ID Compression

1 papers
PIC: Unlocking Long-Form Text Generation Capabilities of Large Language Models via Position ID Compression (2025.acl-long)

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Challenge: Long-context understanding is crucial for large language models (LLMs) however, the ability to “output-long” is underexplored.
Approach: They propose a position ID compression approach to unlock the long-form text generation potential of large language models (LLMs).
Outcome: The proposed approach can extend LLMs' generation length by 1.5 times without compromising generation quality.

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