Research map / Large language models / Language, safety and interpretability
Idiomatic Expression Paraphrasing without Strong Supervision
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use iterative back-translation to augment the small parallel training set | BART for idiomatic sentence paraphrasing · PIL test set | BLEU: 78.53 -> 83.69 | Helped |
| Use iterative back-translation to augment the small parallel training set | BART for idiomatic sentence paraphrasing · PIL test set | SARI: 61.82 -> 81.39 | Helped |
| Use definition- and context-conditioned masked generation without parallel training data | Bart-Ucd · PIL test set | METEOR: 85.36 -> 87.80 | Helped |
| Use Bart-Ibt paraphrasing as preprocessing before machine translation | mBART · English-German challenge set | BLEU: 10.1 -> 10.7 | Helped |
| Use iterative back-translation for idiomatic sentence generation | BART for ISG · PIL test set | BLEU: 79.32 -> 91.08 | Helped |
Closest papers by meaning
- Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic Translation with Language Models (AAAI 2024 · similarity 0.87)
- Entailment Relation Aware Paraphrase Generation (AAAI 2022 · similarity 0.86)
- PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation (AAAI 2019 · similarity 0.85)
- A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation (AAAI 2019 · similarity 0.85)
- LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training (AAAI 2024 · similarity 0.84)
- Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models (NeurIPS 2024 · similarity 0.83)
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