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Zero-shot Learning

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DataFunSummit
DataFunSummit
May 23, 2024 · Artificial Intelligence

GraphGPT: Enabling Large Language Models as Zero‑Shot Graph Learners

GraphGPT integrates large language models with graph neural networks by introducing graph tokens and instruction tuning, enabling zero‑shot graph learning for tasks such as node classification and link prediction, and demonstrates superior performance and generalization across supervised and zero‑shot benchmarks.

Graph Neural NetworksGraphGPTZero-shot Learning
0 likes · 15 min read
GraphGPT: Enabling Large Language Models as Zero‑Shot Graph Learners
DataFunTalk
DataFunTalk
Nov 24, 2023 · Artificial Intelligence

Open Vocabulary Detection Contest 2023: Summary of Winning Teams' Technical Solutions

The article reviews the Open Vocabulary Detection Contest organized by the Chinese Society of Image and Graphics and 360 AI Institute, describing the competition setup, dataset characteristics, and detailed winning approaches that combine Detic, CLIP, prompt learning, and multi‑stage pipelines to achieve strong few‑shot and zero‑shot object detection performance.

ClipOpen Vocabulary DetectionZero-shot Learning
0 likes · 17 min read
Open Vocabulary Detection Contest 2023: Summary of Winning Teams' Technical Solutions
DataFunTalk
DataFunTalk
Feb 16, 2023 · Artificial Intelligence

Fine‑Grained Entity Recognition in Tencent TexSmart: System Overview and Key Techniques

This article presents an in‑depth overview of Tencent's TexSmart natural‑language understanding system, highlighting its fine‑grained NER capabilities, knowledge‑base combination methods, remote‑supervision via similar entities, multi‑source zero‑shot fusion, experimental results, and practical insights from a recent NLP summit.

Entity TypingFine-grained NERGraph Neural Networks
0 likes · 12 min read
Fine‑Grained Entity Recognition in Tencent TexSmart: System Overview and Key Techniques
DataFunSummit
DataFunSummit
May 9, 2022 · Artificial Intelligence

TextToKnowledge (解语): Zero‑Shot Chinese Text Knowledge Annotation and Mining Framework

The article introduces TextToKnowledge, an open‑source Baidu platform that provides a unified Chinese term taxonomy (TermTree) and two annotation tools (WordTag and NPTag) to enable zero‑sample text labeling, term‑linking, and downstream knowledge‑mining applications for various NLP tasks.

Chinese NLPKnowledge GraphPaddleNLP
0 likes · 25 min read
TextToKnowledge (解语): Zero‑Shot Chinese Text Knowledge Annotation and Mining Framework