Advances in Information Extraction: From PLM to LLM Paradigms at Alibaba DAMO Academy

This article reviews Alibaba DAMO Academy's research on information extraction, covering background concepts, PLM-era extraction paradigms, few‑shot extraction techniques, and the emerging LLM‑era approaches, while also sharing practical insights, benchmark results, and future directions.

Alibaba DAMOFew‑Shot LearningLarge Language Models

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Advances in Information Extraction: From PLM to LLM Paradigms at Alibaba DAMO Academy

Alibaba Cloud Developer

Jan 14, 2021 · Artificial Intelligence

How Alibaba’s Induction Networks Enable Few-Shot Learning for Conversational AI

This article reviews Alibaba DAMO’s Conversational AI team research on low‑resource few‑shot learning, introducing induction and dynamic‑memory networks, detailing their architecture, experimental setup on ARSC, ODIC and miniRCV1 datasets, and demonstrating state‑of‑the‑art performance improvements.

Alibaba DAMOConversational AIFew‑Shot Learning

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How Alibaba’s Induction Networks Enable Few-Shot Learning for Conversational AI