Geng Tu
14 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Artificial Intelligence
(12)
Machine Learning
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Natural Language Processing
(10)
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(10)
Applications
(9)
Deep Learning
(6)
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(6)
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Learning Types Β· Machine Learning
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Learning Types Β· Deep Learning
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Keywords
emotion recognition
(7)
large language model
(6)
multimodal learning
(3)
sentiment analysis
(2)
text classification
(2)
conversation analysis
(2)
graph neural network
(2)
conversational emotion recognition
(2)
context modeling
(2)
multimodal emotion recognition
(2)
natural language inference
(1)
masked language model
(1)
knowledge editing
(1)
content moderation
(1)
transfer learning
(1)
commonsense knowledge
(1)
safety alignment
(1)
chain-of-thought reasoning
(1)
llm evaluation
(1)
code generation
(1)
Papers
A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking
EACL 2026
Causal-ERC: A Multimodal Framework with Causal Prompting for Emotion Recognition in Conversations with Large Language Models
AAAI 2026
Consensus-Driven Multi-Agent Cognitive Reasoning for Enhancing the Emotional Intelligence of Large Language Models
AAAI 2026
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection
AAAI 2025
CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
ACL 2025
HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular Data
SemEval 2025
Large Language Models as Reader for Bias Detection
EMNLP 2025
Adaptive Graph Learning for Multimodal Conversational Emotion Detection
AAAI 2024
HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection
ACL 2024
Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition
EMNLP 2024
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations
EMNLP 2023
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection
EMNLP 2023
Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations
ACL 2023
Probing Graph Decomposition for Argument Pair Extraction
ACL 2023