Co-occurring keywords · papers mentioning both
Papers
Iterative Forward Tuning Boosts In-Context Learning in Language Models
ACL 2024
Latent Learningscape Guided In-context Learning
ACL 2024
Revisiting Demonstration Selection Strategies in In-Context Learning
ACL 2024
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
EMNLP 2024
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
NAACL 2024
Active Learning Principles for In-Context Learning with Large Language Models
EMNLP 2023
Diverse Demonstrations Improve In-context Compositional Generalization
ACL 2023
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
EMNLP 2023
How Many Demonstrations Do You Need for In-context Learning?
EMNLP 2023
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
ICCV 2023
Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts
EMNLP 2023
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
NeurIPS 2023
PaRaDe: Passage Ranking using Demonstrations with LLMs
EMNLP 2023
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process
EMNLP 2023
Robustness of Named-Entity Replacements for In-Context Learning
EMNLP 2023
Selective Demonstrations for Cross-domain Text-to-SQL
EMNLP 2023
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
ICML 2023