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Bin Gong

3 accepted papers

2026

Unsupervised Process-Aware Coreset Selection for In-Context Learning

ICML 2026poster

We address the challenge of unsupervised coreset selection for few-shot in-context learning (ICL). The goal is to select a small subset of examples under a fixed annotation budget to yield effective prompts for large language models. Existing geometry-based methods often yield coresets that suffer f…

Cited by 0SourceScholar
2023

Unsupervised Paraphrasing under Syntax Knowledge

AAAI 2023technical

The soundness of syntax is an important issue for the paraphrase generation task. Most methods control the syntax of paraphrases by embedding the syntax and semantics in the generation process, which cannot guarantee the syntactical correctness of the results. Different from them, in this paper we…

Cited by 4SourcePDFScholar