most citedCausal Prompting for Implicit Sentiment Analysis with Large Language Models

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Spiking Graph Predictive Coding for Reliable OOD Generalization

Jing Ren, Jiapeng Du, Bowen Li +6

Graphs provide a powerful basis for modeling Web-based relational data, with expressive GNNs to support the effective learning in dynamic web environments. However, real-world depl…

cs.AI2025

Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems

Guixian Zhang, Guan Yuan, Ziqi Xu +4

Cognitive diagnostics in the Web-based Intelligent Education System (WIES) aims to assess students' mastery of knowledge concepts from heterogeneous, noisy interactions. Recent wor…

cs.LG2025

Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia

Niharika Tewari, Nguyen Linh Dan Le, Mujie Liu +5

Dementia is a progressive neurodegenerative disorder with multiple etiologies, including Alzheimer's disease, Parkinson's disease, frontotemporal dementia, and vascular dementia. I…

cs.CL2025★ 2 cited

Causal Prompting for Implicit Sentiment Analysis with Large Language Models

Jing Ren, Wenhao Zhou, Bowen Li +7

Implicit Sentiment Analysis (ISA) aims to infer sentiment that is implied rather than explicitly stated, requiring models to perform deeper reasoning over subtle contextual cues. W…

cs.CL2025

Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors

Senqi Yang, Dongyu Zhang, Jing Ren +5

Metaphors are pervasive in communication, making them crucial for natural language processing (NLP). Previous research on automatic metaphor processing predominantly relies on trai…