Nikola Momchev
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Reinforcement Learning in Robotics, Multimodal Machine Learning Applications, Machine Learning and Data Classification
Most-Cited Works
- → Measuring Compositional Generalization: A Comprehensive Method on\n Realistic Data(2019)141 cited
- → Gemma 2: Improving Open Language Models at a Practical Size(2024)128 cited
- → Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback(2023)19 cited
- → *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task(2021)10 cited
- → Hyperparameter Selection for Imitation Learning(2021)7 cited
- → RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning(2021)2 cited
- → Imitating Language via Scalable Inverse Reinforcement Learning(2024)1 cited