Jul 29, 2024 · In this demonstration, we showcase a human-in-the-loop tool called APE (Active Prompt Engineering) designed for refining prompts through active learning.
In this demonstration, we showcase a human-in-the-loop tool called ool (Active Prompt Engineering) designed for refining prompts through active learning.
Sep 13, 2024 · Incorporating few-shot examples is a vital and effective approach to providing LLMs with precise instructions, leading to improved LLM ...
In this demonstration, we showcase an interactive tool called APE (Active Prompt Tuning) designed for refining prompts through human feedback.
Missing: based Entity Matching.
Article "APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching" Detailed information of the J-GLOBAL is ...
Co-authors ; APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching. K Qian, Y Sang, FF Bayat, A Belyi, X Chu ...
(New) APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching (short). Kun Qian, Yisi Sang, Farima Bayat ...
Drawing inspiration from active learning, APE iteratively selects the most ambiguous examples for human feedback, which will be transformed into few-shot ...
Exploring Effective Few-Shot In-Context Learning ... APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching.
Regular Papers (15 min each). APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching. Kun Qian, Yisi Sang ...
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