| LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models | Jan 1, 2024 | Code GenerationIn-Context Learning | CodeCode Available | 1 | 5 |
| Dolphins: Multimodal Language Model for Driving | Dec 1, 2023 | Autonomous VehiclesIn-Context Learning | CodeCode Available | 1 | 5 |
| Do Large Language Models Know What They Don't Know? | May 29, 2023 | In-Context Learning | CodeCode Available | 1 | 5 |
| Contextual Vision Transformers for Robust Representation Learning | May 30, 2023 | In-Context LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Contrastive Learning for Prompt-Based Few-Shot Language Learners | May 3, 2022 | Contrastive LearningIn-Context Learning | CodeCode Available | 1 | 5 |
| Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration | Dec 7, 2023 | Data IntegrationEntity Resolution | CodeCode Available | 1 | 5 |
| Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments | Dec 19, 2022 | In-Context LearningKnowledge Base Question Answering | CodeCode Available | 1 | 5 |
| PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning | May 3, 2024 | Bayesian InferenceIn-Context Learning | CodeCode Available | 1 | 5 |
| Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER | Oct 16, 2021 | Domain AdaptationFew-Shot Text Classification | CodeCode Available | 1 | 5 |
| LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction | Nov 11, 2023 | Event Argument ExtractionIn-Context Learning | CodeCode Available | 1 | 5 |
