| SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots | Jun 20, 2024 | In-Context LearningKnowledge Distillation | —Unverified | 0 |
| Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data | Jun 20, 2024 | In-Context Learning | CodeCode Available | 1 |
| When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models | Jun 19, 2024 | In-Context Learning | CodeCode Available | 0 |
| Learning to Generate Answers with Citations via Factual Consistency Models | Jun 19, 2024 | In-Context Learning | CodeCode Available | 1 |
| In-Context Learning on a Budget: A Case Study in Token Classification | Jun 19, 2024 | Domain AdaptationIn-Context Learning | —Unverified | 0 |
| LIVE: Learnable In-Context Vector for Visual Question Answering | Jun 19, 2024 | In-Context LearningQuestion Answering | CodeCode Available | 1 |
| In-Context In-Context Learning with Transformer Neural Processes | Jun 19, 2024 | In-Context LearningMeta-Learning | —Unverified | 0 |
| ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models | Jun 19, 2024 | ClusteringIn-Context Learning | —Unverified | 0 |
| Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning | Jun 19, 2024 | In-Context LearningLanguage Modeling | —Unverified | 0 |
| Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations | Jun 19, 2024 | In-Context Learning | —Unverified | 0 |
