Papers by Alison Chi
Learning to Paraphrase Sentences to Different Complexity Levels (2023.tacl-1)
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| Challenge: | Using unsupervised datasets, we train models on sentence complexification and same-level paraphrasing tasks. |
| Approach: | They compare two unsupervised datasets with a single supervised dataset to train models on sentence complexification and same-level paraphrasing tasks. |
| Outcome: | The proposed models outperform previous work on sentence-level targeting and improve on the ASSET simplification benchmark. |
BLESS: Benchmarking Large Language Models on Sentence Simplification (2023.emnlp-main)
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Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego, Matthew Shardlow
| Challenge: | BLESS is a performance benchmark of the most recent state-of-the-art Large Language Models (LLMs) on the task of text simplification (TS). |
| Approach: | They present a performance benchmark of the most recent state-of-the-art Large Language Models (LLMs) on the task of text simplification (TS). |
| Outcome: | The proposed benchmarks show that the most recent state-of-the-art LLMs perform better on the task of text simplification (TS). |