in-context learning

Binding Language Models in Symbolic Languages ICLR 2023 Birth of a Transformer: A Memory Viewpoint NeurIPS 2023 ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games EMNLP 2023 Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding Interspeech 2023 Can In-context Learners Learn a Reasoning Concept from Demonstrations? ACL 2023 Can Language Models Solve Graph Problems in Natural Language? NeurIPS 2023 Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization NeurIPS 2023 Can We Edit Factual Knowledge by In-Context Learning? EMNLP 2023 Chain of Thought Prompting Elicits Knowledge Augmentation ACL 2023 Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction EMNLP 2023 Characterizing Mechanisms for Factual Recall in Language Models EMNLP 2023 ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity? ACL 2023 Code4Struct: Code Generation for Few-Shot Event Structure Prediction ACL 2023 Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction ACL 2023 Complementary Explanations for Effective In-Context Learning ACL 2023 Compositional Exemplars for In-context Learning ICML 2023 Contextual Interaction for Argument Post Quality Assessment EMNLP 2023 Continual Dialogue State Tracking via Example-Guided Question Answering EMNLP 2023 Controlled Text Generation with Natural Language Instructions ICML 2023 Coverage-based Example Selection for In-Context Learning EMNLP 2023 Crosslingual Retrieval Augmented In-context Learning for Bangla EMNLP 2023 CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation EMNLP 2023 Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA EMNLP 2023 Data Curation Alone Can Stabilize In-context Learning ACL 2023 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ICML 2023