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| Retrieval-Augmented Decision Transformer: External Memory for In-context RL | Oct 9, 2024 | In-Context LearningReinforcement Learning (RL) | CodeCode Available | 1 |
| Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering | Oct 9, 2024 | In-Context Learning | CodeCode Available | 1 |
| Vector-ICL: In-context Learning with Continuous Vector Representations | Oct 8, 2024 | ClassificationGraph Classification | CodeCode Available | 1 |
| Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning | Oct 5, 2024 | BenchmarkingDrug Design | CodeCode Available | 1 |
| ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI | Oct 3, 2024 | Few-Shot Imitation LearningImitation Learning | CodeCode Available | 1 |
| Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation | Oct 3, 2024 | Few-Shot Semantic SegmentationImage Generation | CodeCode Available | 1 |
| PersonalLLM: Tailoring LLMs to Individual Preferences | Sep 30, 2024 | In-Context LearningMeta-Learning | CodeCode Available | 1 |
| Text Clustering as Classification with LLMs | Sep 30, 2024 | ClassificationClustering | CodeCode Available | 1 |
| T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition | Sep 29, 2024 | In-Context LearningQuestion Answering | CodeCode Available | 1 |
