Papers with estimating similarities

2 papers
Streaming word similarity mining on the cheap (D18-1)

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Challenge: Existing methods to estimate word similarities are to embed words in vector space and then calculate similarities between corresponding vectors.
Approach: They propose a method that explicitly counts second-order co-occurrences to estimate word similarities from streams.
Outcome: The proposed method is scalable, converges rapidly, behaves robustly under parameter changes, and captures word similarities on par with state-of-the-art word embeddings.
MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning (2024.acl-long)

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Challenge: Existing Large Language Models are usually generalized with large programming corpus, therefore the generated code is difficult to adapt to personalized and/or customized requests.
Approach: They propose a method to use Large Language Models to generate personalized code for multiple users.
Outcome: The proposed model can generate personalized code for multiple users . it can be used to improve code generation and reduce maintenance costs.

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