| Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective | Jun 22, 2025 | In-Context LearningLarge Language Model | CodeCode Available | 1 |
| Can Transformers Learn Full Bayesian Inference in Context? | Jan 28, 2025 | Bayesian InferenceIn-Context Learning | CodeCode Available | 1 |
| Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction | Jul 23, 2024 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | CodeCode Available | 1 |
| ExDDV: A New Dataset for Explainable Deepfake Detection in Video | Mar 18, 2025 | DeepFake DetectionExplainable Models | CodeCode Available | 1 |
| Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type Annotation | Mar 4, 2025 | Column Type AnnotationIn-Context Learning | CodeCode Available | 1 |
| Adversarial Text Rewriting for Text-aware Recommender Systems | Aug 1, 2024 | Adversarial TextIn-Context Learning | CodeCode Available | 1 |
| Catwalk: A Unified Language Model Evaluation Framework for Many Datasets | Dec 15, 2023 | In-Context LearningLanguage Model Evaluation | CodeCode Available | 1 |
| A Computational Framework for Behavioral Assessment of LLM Therapists | Jan 1, 2024 | In-Context Learning | CodeCode Available | 1 |
| Evaluating Named Entity Recognition Using Few-Shot Prompting with Large Language Models | Aug 28, 2024 | In-Context Learningnamed-entity-recognition | CodeCode Available | 1 |
| Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation | May 26, 2023 | Domain GeneralizationIn-Context Learning | CodeCode Available | 1 |
