ICLHerd uses a herding-based data selection method for LLMs with in-context learning as a proxy.
Read the original at arxiv.org→arXiv:2610.27142v1 Announce Type: new Abstract: Data selection plays a central role in modern large language model training, as the quality of training data strongly influences downstream performance. A common...
Original headline: "ICLHerd: Herding-Based Data Selection for LLMs with In-Context Learning as a Proxy"
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- Oct 21, 04:00 UTC arXiv cs.CL lead source ICLHerd: Herding-Based Data Selection for LLMs with In-Context Learning as a Proxy