Rihui Jin
4 papers · 2023–2026 · 3 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Research topics
Artificial Intelligence
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Machine Learning
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Deep Learning
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Natural Language Processing
(2)
Core Methods
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Learning Paradigms
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Resources & Methods
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Application Areas
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Applications
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Architectures
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Core AI
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Generation
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Keywords
few-shot learning
(2)
large language model
(2)
table understanding
(2)
self-supervised learning
(1)
question answering
(1)
prompt-based learning
(1)
machine unlearning
(1)
instruction tuning
(1)
retrieval-augmented generation
(1)
heterogeneous graph
(1)
graph contrastive learning
(1)
table-to-text generation
(1)
concept unlearning
(1)
segmentation model
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graph neural network
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multi-task pretraining
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negative distillation
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representation learning
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attention suppression
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domain adaptation
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Papers
Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models
AAAI 2026
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
AAAI 2025
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
NAACL 2024
TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding
EMNLP 2023