| Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models | Nov 15, 2023 | In-Context Learningnamed-entity-recognition | CodeCode Available | 1 |
| XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs | Nov 15, 2023 | Decision MakingDecoder | CodeCode Available | 1 |
| Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning | Nov 15, 2023 | In-Context LearningKnowledge Base Question Answering | CodeCode Available | 0 |
| On the Calibration of Multilingual Question Answering LLMs | Nov 15, 2023 | Cross-Lingual TransferData Augmentation | —Unverified | 0 |
| Explore Spurious Correlations at the Concept Level in Language Models for Text Classification | Nov 15, 2023 | counterfactualIn-Context Learning | CodeCode Available | 0 |
| Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models | Nov 14, 2023 | FairnessFew-Shot Learning | —Unverified | 0 |
| On-the-Fly Fusion of Large Language Models and Machine Translation | Nov 14, 2023 | In-Context LearningMachine Translation | —Unverified | 0 |
| Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment | Nov 14, 2023 | Contrastive LearningIn-Context Learning | CodeCode Available | 0 |
| Language Models are Better Bug Detector Through Code-Pair Classification | Nov 14, 2023 | Code GenerationIn-Context Learning | CodeCode Available | 0 |
| Are Large Language Models Temporally Grounded? | Nov 14, 2023 | Common Sense ReasoningIn-Context Learning | CodeCode Available | 1 |
