Mengting Hu
26 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Artificial Intelligence
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Machine Learning
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few-shot learning
(6)
large language model
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sentiment analysis
(4)
uncertainty quantification
(4)
aspect sentiment quad prediction
(3)
sentiment classification
(3)
reinforcement learning
(3)
aspect-based sentiment analysis
(3)
mind-map generation
(2)
graph neural network
(2)
benchmark evaluation
(2)
multiple-choice question
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prototypical network
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attention mechanism
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named entity recognition
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relation classification
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model robustness
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visual question answering
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domain adaptation
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multi-label learning
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Papers
Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems
ACL 2026
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
AAAI 2025
HccePose(BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
ICCV 2025
KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models
EMNLP 2025
Towards Robust Few-Shot Relation Classification: Incorporating Relation Description with Agreement
EMNLP 2025
UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions
ACL 2025
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction
ACL 2024
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
ACL 2024
Coreference Graph Guidance for Mind-Map Generation
AAAI 2024
ECoK: Emotional Commonsense Knowledge Graph for Mining Emotional Gold
ACL 2024
Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs?
EMNLP 2024
Modalities Should Be Appropriately Leveraged: Uncertainty Guidance for Multimodal Chinese Spelling Correction
COLING 2024
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion
ACL 2024
ToMBench: Benchmarking Theory of Mind in Large Language Models
ACL 2024
Towards Robust Evidence-Aware Fake News Detection via Improving Semantic Perception
COLING 2024
Density-Aware Prototypical Network for Few-Shot Relation Classification
EMNLP 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
ACL 2023
RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data
EMNLP 2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
ACL 2023
Classical Sequence Match Is a Competitive Few-Shot One-Class Learner
COLING 2022
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
EMNLP 2022
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
EMNLP 2021
Multi-Label Few-Shot Learning for Aspect Category Detection
ACL 2021
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
EMNLP 2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
EMNLP 2019
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis
CoNLL 2019