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In-Context Learning

336 directly classified papers

Papers per year

Papers

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models ACL 2023
Empowering Conversational Agents using Semantic In-Context Learning ACL 2023
Improving Mathematics Tutoring With A Code Scratchpad ACL 2023
Robustness of Learning from Task Instructions ACL 2023
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them ACL 2023
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation ACL 2023
Large Language Models Are Partially Primed in Pronoun Interpretation ACL 2023
Large Language Models can Implement Policy Iteration NIPS 2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023
Complementary Explanations for Effective In-Context Learning ACL 2023
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers ACL 2023
ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity? ACL 2023
Modular Visual Question Answering via Code Generation ACL 2023
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models ACL 2023
Images Speak in Images: A Generalist Painter for In-Context Visual Learning CVPR 2023
Pre-Training to Learn in Context ACL 2023
Unified Demonstration Retriever for In-Context Learning ACL 2023
Exploring the Capacity of Pretrained Language Models for Reasoning about Actions and Change ACL 2023
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ACL 2023
In-Context Analogical Reasoning with Pre-Trained Language Models ACL 2023
In-Context Learning Creates Task Vectors EMNLP 2023
Exploring In-Context Learning for Knowledge Grounded Dialog Generation EMNLP 2023
Demystifying Prompts in Language Models via Perplexity Estimation EMNLP 2023
Hierarchical Prompting Assists Large Language Model on Web Navigation EMNLP 2023
Robustness of Named-Entity Replacements for In-Context Learning EMNLP 2023