197 citations · 446 across the 15 of their papers we have counts for
3 papers · 1 filter
Scalable and Domain-General Abstractive Proposition Segmentation
Mohammad Javad Hosseini, Yang Gao, Tim Baumgärtner +2
Segmenting text into fine-grained units of meaning is important to a wide range of NLP applications. The default approach of segmenting text into sentences is often insufficient, e…
DoubleDipper: Improving Long-Context LLMs via Context Recycling
Arie Cattan, Alon Jacovi, Alex Fabrikant +8
Despite recent advancements in Large Language Models (LLMs), their performance on tasks involving long contexts remains sub-optimal. In this work, we propose DoubleDipper, a novel…
A synthetic data approach for domain generalization of NLI models
Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant +1
Natural Language Inference (NLI) remains an important benchmark task for LLMs. NLI datasets are a springboard for transfer learning to other semantic tasks, and NLI models are stan…