| Enhancing In-context Learning via Linear Probe Calibration | Jan 22, 2024 | In-Context Learning | CodeCode Available | 1 |
| An Empirical Study of In-context Learning in LLMs for Machine Translation | Jan 22, 2024 | In-Context LearningMachine Translation | CodeCode Available | 0 |
| In-Context Learning for Extreme Multi-Label Classification | Jan 22, 2024 | ClassificationExtreme Multi-Label Classification | CodeCode Available | 3 |
| Revisiting Demonstration Selection Strategies in In-Context Learning | Jan 22, 2024 | In-Context Learning | CodeCode Available | 1 |
| In-context Learning with Retrieved Demonstrations for Language Models: A Survey | Jan 21, 2024 | In-Context LearningRetrieval | —Unverified | 0 |
| Identifying and Analyzing Task-Encoding Tokens in Large Language Models | Jan 20, 2024 | Computational EfficiencyFew-Shot Learning | —Unverified | 0 |
| Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency | Jan 19, 2024 | Collaborative FilteringFairness | CodeCode Available | 0 |
| Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs | Jan 18, 2024 | In-Context Learning | CodeCode Available | 1 |
| Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation | Jan 18, 2024 | Data-to-Text GenerationIn-Context Learning | —Unverified | 0 |
| Leveraging Biases in Large Language Models: "bias-kNN'' for Effective Few-Shot Learning | Jan 18, 2024 | Few-Shot LearningIn-Context Learning | —Unverified | 0 |
| The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing | Jan 16, 2024 | In-Context Learning | —Unverified | 0 |
| Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions | Jan 16, 2024 | In-Context LearningLanguage Modelling | —Unverified | 0 |
| HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance | Jan 16, 2024 | In-Context Learning | CodeCode Available | 7 |
| 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 |
| Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning | Jan 12, 2024 | In-Context LearningZero-Shot Learning | CodeCode Available | 1 |
| The Unreasonable Effectiveness of Easy Training Data for Hard Tasks | Jan 12, 2024 | General KnowledgeIn-Context Learning | CodeCode Available | 1 |
| Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning | Jan 11, 2024 | Backdoor AttackIn-Context Learning | —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 |
| 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 |
| 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 |
| Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding | Jan 9, 2024 | Fact VerificationIn-Context Learning | CodeCode Available | 2 |
| Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection | Jan 8, 2024 | Decision MakingIn-Context Learning | —Unverified | 0 |
