In-Context Learning

An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024 ARC: A Generalist Graph Anomaly Detector with In-Context Learning NeurIPS 2024 Are Emergent Abilities in Large Language Models just In-Context Learning? ACL 2024 ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs EMNLP 2024 A Simple Image Segmentation Framework via In-Context Examples NeurIPS 2024 Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning EACL 2024 A Survey on In-context Learning EMNLP 2024 A Theoretical Understanding of Self-Correction through In-context Alignment NeurIPS 2024 Atomic Inference for NLI with Generated Facts as Atoms EMNLP 2024 Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities EMNLP 2024 Binary Search with Distributional Predictions NeurIPS 2024 Can Language Models Induce Grammatical Knowledge from Indirect Evidence? EMNLP 2024 Can Large Language Models Reason About Goal-Oriented Tasks? EACL 2024 Can Large Language Models Understand Context? EACL 2024 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NeurIPS 2024 Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning ACL 2024 Chain-of-Dictionary Prompting Elicits Translation in Large Language Models EMNLP 2024 Chain of Thoughtlessness? An Analysis of CoT in Planning NeurIPS 2024 Chain-of-Thought Reasoning Without Prompting NeurIPS 2024 C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024 Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs EMNLP 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NeurIPS 2024 Demonstration Selection Strategies for Numerical Time Series Data-to-Text EMNLP 2024 DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NeurIPS 2024 DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? EMNLP 2024