Julian Michael
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Semantic Web and Ontologies, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding(2018)3,862 cited
- → SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems(2019)986 cited
- → Supervised Open Information Extraction(2018)275 cited
- → AmbigQA: Answering Ambiguous Open-domain Questions(2020)161 cited
- → Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting(2023)76 cited
- → Controlled Crowdsourcing for High-Quality QA-SRL Annotation(2020)45 cited
- The Winograd Schema Challenge and Reasoning about Correlation(2015)