Papers with off-the-
Parallel Context Windows for Large Language Models (2023.acl-long)
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Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
| Challenge: | Existing efforts to address context window limitation for off-the-shelf LLMs involve training specialized architectures. |
| Approach: | They propose a method that carves a long context into chunks and restricts attention to apply only within each window. |
| Outcome: | The proposed method shows significant improvements on in-context learning tasks with diverse input and output spaces. |