Papers with scalable framework adapting
Token-wise Influential Training Data Retrieval for Large Language Models (2024.acl-long)
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| Challenge: | Large language models (LLMs) have been widely used in various industries due to their unprecedented scale and impressive capabilities derived from the massive training dataset. |
| Approach: | They propose a framework that can estimate the influence of training data by caching and retrieval. |
| Outcome: | The proposed framework can estimate the influence of training data within minutes, achieving over a speedup of 6,326x. |