| In-context Learning and Gradient Descent Revisited | Nov 13, 2023 | Few-Shot LearningIn-Context Learning | CodeCode Available | 0 | 5 |
| In Context Learning and Reasoning for Symbolic Regression with Large Language Models | Oct 22, 2024 | In-Context LearningSymbolic Regression | CodeCode Available | 0 | 5 |
| Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning | Apr 25, 2024 | DiversityIn-Context Learning | CodeCode Available | 0 | 5 |
| AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling | Nov 26, 2024 | Bayesian InferenceIn-Context Learning | CodeCode Available | 0 | 5 |
| Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training | May 18, 2025 | Contrastive LearningIn-Context Learning | CodeCode Available | 0 | 5 |
| Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models | Oct 17, 2024 | In-Context Learning | CodeCode Available | 0 | 5 |
| In-Context Learning for Zero-Shot Speed Estimation of BLDC motors | Apr 1, 2025 | In-Context Learning | CodeCode Available | 0 | 5 |
| Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability | Jul 22, 2024 | In-Context Learning | CodeCode Available | 0 | 5 |
| CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation | May 23, 2023 | In-Context LearningMachine Translation | CodeCode Available | 0 | 5 |
| In-context Continual Learning Assisted by an External Continual Learner | Dec 20, 2024 | Continual LearningIn-Context Learning | CodeCode Available | 0 | 5 |
