Mengting Hu
29 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (8) π Academic Marathon (6) π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (65)
πΊοΈ
Taxonomy Completionist
(65)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(12)
π
Keyword Champion
(3)
β‘
Prolific Year
(5)
π
Century Club
(28)
π
Trend Setter
ποΈ
Keyword Collector
(139)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
ACL (10)
EMNLP (9)
COLING (3)
IJCNLP (3)
AAAI (2)
CONLL (1)
ICCV (1)
Top co-authors
Keywords
few-shot learning
(7)
sentiment analysis
(6)
large language model
(5)
sentiment classification
(5)
uncertainty quantification
(4)
attention mechanism
(4)
aspect sentiment quad prediction
(3)
reinforcement learning
(3)
aspect-based sentiment analysis
(3)
prototypical network
(3)
cross-domain sentiment classification
(2)
multi-label learning
(2)
domain adaptation
(2)
aspect detection
(2)
relation classification
(2)
multi-task learning
(2)
cross-domain sentiment
(2)
named entity recognition
(2)
benchmark evaluation
(2)
feature distillation
(2)
Papers
Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems
ACL 2026
KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models
EMNLP 2025
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
AAAI 2025
UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions
ACL 2025
Towards Robust Few-Shot Relation Classification: Incorporating Relation Description with Agreement
EMNLP 2025
HccePose(BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
ICCV 2025
Modalities Should Be Appropriately Leveraged: Uncertainty Guidance for Multimodal Chinese Spelling Correction
COLING 2024
Towards Robust Evidence-Aware Fake News Detection via Improving Semantic Perception
COLING 2024
Coreference Graph Guidance for Mind-Map Generation
AAAI 2024
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction
ACL 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
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
ACL 2024
ECoK: Emotional Commonsense Knowledge Graph for Mining Emotional Gold
ACL 2024
Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs?
EMNLP 2024
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
ACL 2023
Density-Aware Prototypical Network for Few-Shot Relation Classification
EMNLP 2023
RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data
EMNLP 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
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
Multi-Label Few-Shot Learning for Aspect Category Detection
ACL 2021
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
EMNLP 2021
Multi-Label Few-Shot Learning for Aspect Category Detection
IJCNLP 2021
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis
CONLL 2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
EMNLP 2019
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
IJCNLP 2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
IJCNLP 2019
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
EMNLP 2019