Maxwell Forbes
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Robot Manipulation and Learning, Ethics and Social Impacts of AI
Most-Cited Works
- → The Curious Case of Neural Text Degeneration(2019)1,100 cited
- → CLIPScore: A Reference-free Evaluation Metric for Image Captioning(2021)852 cited
- → Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text(2022)84 cited
- → Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences(2021)82 cited
- Delphi: Towards Machine Ethics and Norms(2021)
- → Robot Programming by Demonstration with situated spatial language understanding(2015)65 cited
- → Automating Moral Reasoning (Invited Paper)(2021)57 cited
- → Thinking Like a Skeptic: Defeasible Inference in Natural Language(2020)52 cited
- → Neural Naturalist: Generating Fine-Grained Image Comparisons(2019)40 cited