3 papers
cs.CL2025
Entailed Between the Lines: Incorporating Implication into NLI
Shreya Havaldar, Hamidreza Alvari, John Palowitch +3
Much of human communication depends on implication, conveying meaning beyond literal words to express a wider range of thoughts, intentions, and feelings. For models to better unde…
cs.CL2024
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…
cs.CL2024
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…