Jack Hessel
Publications by Year
Research Areas
Topic Modeling, Multimodal Machine Learning Applications, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Semantic Web and Ontologies
Most-Cited Works
- → CLIPScore: A Reference-free Evaluation Metric for Image Captioning(2021)852 cited
- → Symbolic Knowledge Distillation: from General Language Models to Commonsense Models(2022)146 cited
- → Reframing Human-AI Collaboration for Generating Free-Text Explanations(2022)84 cited
- → OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models(2023)70 cited
- → SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization(2023)57 cited
- → Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization(2022)54 cited
- → MERLOT: Multimodal Neural Script Knowledge Models(2021)54 cited
- → Something’s Brewing! Early Prediction of Controversy-causing Posts from Discussion Features(2019)54 cited
- → OLMo: Accelerating the Science of Language Models(2024)46 cited
- → Quark: Controllable Text Generation with Reinforced Unlearning(2022)45 cited