| ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification | Nov 18, 2024 | Fact CheckingFact Verification | CodeCode Available | 0 |
| Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction | Sep 23, 2024 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | CodeCode Available | 0 |
| Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL | Nov 20, 2024 | Continual LearningIn-Context Learning | CodeCode Available | 0 |
| Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions | Jul 2, 2024 | In-Context LearningRAG | CodeCode Available | 0 |
| Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability | Oct 12, 2023 | Causal Language ModelingIn-Context Learning | CodeCode Available | 0 |
| The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation | Aug 14, 2023 | In-Context LearningInformativeness | CodeCode Available | 0 |
| Revisiting In-context Learning Inference Circuit in Large Language Models | Oct 6, 2024 | Few-Shot LearningIn-Context Learning | CodeCode Available | 0 |
| Likelihood-based Mitigation of Evaluation Bias in Large Language Models | Feb 25, 2024 | Grammatical Error CorrectionIn-Context Learning | CodeCode Available | 0 |
| Leveraging Large Language Models for enzymatic reaction prediction and characterization | May 8, 2025 | Drug DiscoveryIn-Context Learning | CodeCode Available | 0 |
| Leveraging Code to Improve In-context Learning for Semantic Parsing | Nov 16, 2023 | In-Context LearningSemantic Parsing | CodeCode Available | 0 |
