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In-Context Learning

387 papers

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Papers

Supervised Pretraining Can Learn In-Context Reinforcement Learning NeurIPS 2023 Symbolization, Prompt, and Classification: A Framework for Implicit Speaker Identification in Novels EMNLP 2023 Symbol tuning improves in-context learning in language models EMNLP 2023 Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task EMNLP 2023 Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning EMNLP 2023 The Learnability of In-Context Learning NeurIPS 2023 The Transient Nature of Emergent In-Context Learning in Transformers NeurIPS 2023 ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings NeurIPS 2023 Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023 Understanding In-Context Learning via Supportive Pretraining Data ACL 2023 Unified Demonstration Retriever for In-Context Learning ACL 2023 Using In-Context Learning to Improve Dialogue Safety EMNLP 2023 WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models ACL 2023 What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning ACL 2023 Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers ACL 2023 Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ACL 2023 Can language models learn from explanations in context? EMNLP 2022 CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts EMNLP 2022 Data Distributional Properties Drive Emergent In-Context Learning in Transformers NeurIPS 2022 DynaMaR: Dynamic Prompt with Mask Token Representation EMNLP 2022 End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking NeurIPS 2022 Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing EMNLP 2022 Exploring Length Generalization in Large Language Models NeurIPS 2022 Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations EMNLP 2022 Iteratively Prompt Pre-trained Language Models for Chain of Thought EMNLP 2022