| How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning | Feb 5, 2024 | In-Context LearningMetric Learning | CodeCode Available | 2 |
| SNP-S3: Shared Network Pre-training and Significant Semantic Strengthening for Various Video-Text Tasks | Jan 31, 2024 | Sentence | CodeCode Available | 2 |
| Aligning and Prompting Everything All at Once for Universal Visual Perception | Dec 4, 2023 | AllObject | CodeCode Available | 2 |
| Segment and Caption Anything | Dec 1, 2023 | Caption Generationobject-detection | CodeCode Available | 2 |
| Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding | Nov 15, 2023 | Highlight DetectionMoment Retrieval | CodeCode Available | 2 |
| BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings | Nov 9, 2023 | Language ModelingLanguage Modelling | CodeCode Available | 2 |
| The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A" | Sep 21, 2023 | Data AugmentationSentence | CodeCode Available | 2 |
| SONAR: Sentence-Level Multimodal and Language-Agnostic Representations | Aug 22, 2023 | DecoderMachine Translation | CodeCode Available | 2 |
| MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions | Aug 16, 2023 | Motion Expressions Guided Video SegmentationObject | CodeCode Available | 2 |
| BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs | Jul 17, 2023 | Instruction FollowingSentence | CodeCode Available | 2 |
