| Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method | Sep 30, 2023 | Claim VerificationFact Verification | CodeCode Available | 1 |
| Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise | May 2, 2023 | counterfactualFew-Shot Learning | CodeCode Available | 1 |
| Training Trajectories of Language Models Across Scales | Dec 19, 2022 | In-Context LearningMultiple-choice | CodeCode Available | 1 |
| Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes | Feb 4, 2025 | In-Context LearningNatural Language Understanding | CodeCode Available | 1 |
| Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression | Oct 26, 2023 | In-Context Learning | 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 |
| AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction | Oct 10, 2024 | In-Context Learning | CodeCode Available | 1 |
| ARC: A Generalist Graph Anomaly Detector with In-Context Learning | May 27, 2024 | Anomaly DetectionARC | CodeCode Available | 1 |
| Understanding Catastrophic Forgetting in Language Models via Implicit Inference | Sep 18, 2023 | In-Context Learning | CodeCode Available | 1 |
| Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective | Jun 22, 2025 | In-Context LearningLarge Language Model | CodeCode Available | 1 |
