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---
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library_name: transformers
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license: apache-2.0
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---
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### Model Details
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We introduce a new streaming paradigm that enables large language models to achieve strong performance and generalization in streaming settings, without requiring any architectural modifications.
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* Batch-processing: The LLMs process inputs all at once after receiving the full sequence.
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* Streaming-processing: The LLMs process the input as it arrives, incrementally and in real time.
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### Model Sources
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- **Paper:** https://arxiv.org/abs/2505.16983
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- **Repository:** https://github.com/EIT-NLP/StreamingLLM
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### Citation
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```tex
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@misc{tong2025llmeffectivestreamingprocessor,
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title={LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding},
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author={Junlong Tong and Jinlan Fu and Zixuan Lin and Yingqi Fan and Anhao Zhao and Hui Su and Xiaoyu Shen},
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year={2025},
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eprint={2505.16983},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2505.16983},
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}
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```
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