Seolhwa Lee
C3NLP · 2023
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from Seolhwa Lee's perspective
Ordered by how strongly the researchers Seolhwa Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
- Mapping the Moral Domain (Journal of Personality and Social Psychology)
- Delphi: Towards Machine Ethics and Norms
- Measuring and Improving Consistency in Pretrained Language Models
- The Ghost in the Machine has an American accent: value conflict in GPT-3
- Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
- Is ChatGPT a General-Purpose Natural Language Processing Task Solver? (Conference on Empirical Methods in Natural Language Processing)
- The Cultural psychology of development : one mind, many mentalities
- Measuring Social Biases in Grounded Vision and Language Embeddings
Their papers
- Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study (2023) — 328 citations