Senbin Zhu
10 papers · 2024–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(10)
β‘
Prolific Year
(8)
π
Century Club
(10)
Conferences
COLING (3)
AACL (2)
IJCNLP (2)
AAAI (1)
ACL (1)
EMNLP (1)
Top co-authors
Keywords
large language model
(4)
mixture of expert
(3)
multi-task learning
(3)
sentiment analysis
(3)
in-context learning
(3)
contrastive learning
(3)
zero-shot setting
(2)
topic classification
(2)
cross-lingual collaboration
(2)
semantic alignment
(1)
instruction tuning
(1)
reinforcement learning from human feedback
(1)
named entity recognition
(1)
multi-turn dialogue
(1)
entity extraction
(1)
aspect extraction
(1)
dialogue system
(1)
aspect-based sentiment analysis
(1)
entity recognition
(1)
conversational ai
(1)
Papers
EFSA-CLC: Enhancing Zero-shot Entity-level Financial Sentiment Analysis with Cross-lingual Collaboration
IJCNLP 2025
TaCL-CoMoE: Task-adaptive Contrastive Learning with Cooperative Mixture of Experts for Multi-task Social Media Analysis
AACL 2025
EFSA-CLC: Enhancing Zero-shot Entity-level Financial Sentiment Analysis with Cross-lingual Collaboration
AACL 2025
Task-aware Contrastive Mixture of Experts for Quadruple Extraction in Conversations with Code-like Replies and Non-opinion Detection
EMNLP 2025
TaCL-CoMoE: Task-adaptive Contrastive Learning with Cooperative Mixture of Experts for Multi-task Social Media Analysis
IJCNLP 2025
DialogueMMT: Dialogue Scenes Understanding Enhanced Multi-modal Multi-task Tuning for Emotion Recognition in Conversations
COLING 2025
GenWebNovel: A Genre-oriented Corpus of Entities in Chinese Web Novels
COLING 2025
SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis
COLING 2025
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning
ACL 2024
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue
AAAI 2024