PPaperPicks

Chong Teng

20 papers at tracked venues · 17 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering
  2. Dynamic Emotion and Personality Profiling for Multimodal Deception Detection
  3. PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis
  4. Uncertainty-Calibrated Elastic Alignment for Multimodal Sentiment Analysis with Missing Modalities
  5. Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction
  6. DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning
  7. DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement
  8. EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
  9. Enhancing Hyperbole and Metaphor Detection with Their Bidirectional Dynamic Interaction and Emotion Knowledge
  10. Multi-Granular Multimodal Clue Fusion for Meme Understanding
  11. PEMV: Improving Spatial Distribution for Emotion Recognition in Conversations Using Proximal Emotion Mean Vectors
  12. TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis
  13. Zero-Shot Conversational Stance Detection: Dataset and Approaches
  14. Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach
  15. Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
  16. MMLSCU: A Dataset for Multi-modal Multi-domain Live Streaming Comment Understanding
  17. Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis
  18. Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought
  19. Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing
  20. Self-Adaptive Fine-grained Multi-modal Data Augmentation for Semi-supervised Muti-modal Coreference Resolution