Knowledge Editing for Large Language Models: A Survey — mentioned by ijk

Sun, 01 Jun 2025 18:11:48 GMT

Depends on the definition of "knowledge"; there's a lot of factors that go into it. Some of the common approaches are continued/continual pretraining and model editing (https://arxiv.org/pdf/2502.12598). * Models are bad at learning that A=B implies B=A, let alone more complicated relations; augmenting the dataset with multiple examples with different phrasing/perspectives is important (https://arxiv.org/abs/2404.00213). The frequency that a relation occurs in the dataset affects the results (https://arxiv.org/html/2504.09597v2). * You have to be able to balance preserving existing knowledge…

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Knowledge Editing for Large Language Models: A Survey — HN submission

Tue, 07 Nov 2023 19:59:59 GMT

Knowledge Editing for Large Language Models: A Survey

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Knowledge Editing for Large Language Models: A Survey · HackerPapers discussions

Knowledge Editing for Large Language Models: A Survey — mentioned by ijk

Knowledge Editing for Large Language Models: A Survey — HN submission