| A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models | Jan 14, 2024 | In-Context LearningLearning Theory | —Unverified | 0 |
| Misconfidence-based Demonstration Selection for LLM In-Context Learning | Jan 12, 2024 | In-Context Learning | —Unverified | 0 |
| Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements | Jan 12, 2024 | In-Context Learning | CodeCode Available | 0 |
| Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning | Jan 11, 2024 | Backdoor AttackIn-Context Learning | —Unverified | 0 |
| How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering | Jan 11, 2024 | In-Context LearningKnowledge Base Question Answering | —Unverified | 0 |
| POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation | Jan 11, 2024 | In-Context LearningMachine Translation | —Unverified | 0 |
| Leveraging Print Debugging to Improve Code Generation in Large Language Models | Jan 10, 2024 | Code GenerationIn-Context Learning | —Unverified | 0 |
| SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning | Jan 9, 2024 | In-Context Learning | —Unverified | 0 |
| Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection | Jan 8, 2024 | Decision MakingIn-Context Learning | —Unverified | 0 |
| Human-Instruction-Free LLM Self-Alignment with Limited Samples | Jan 6, 2024 | In-Context LearningInstruction Following | —Unverified | 0 |