Philippe Laban
Salesforce (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Text Readability and Simplification, Multimodal Machine Learning Applications, Data Quality and Management
Most-Cited Works
- → SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization(2022)156 cited
- → Art or Artifice? Large Language Models and the False Promise of Creativity(2024)82 cited
- → SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in\n Summarization(2021)39 cited
- → Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors(2023)38 cited
- → newsLens: building and visualizing long-ranging news stories(2017)36 cited
- → MixQG: Neural Question Generation with Mixed Answer Types(2022)31 cited
- → Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text(2021)28 cited
- → SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization(2023)27 cited
- → What’s The Latest? A Question-driven News Chatbot(2020)25 cited
- → MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents(2024)21 cited