Insight in Sight
Complaint Detection and Aspect-Based Reasoning Through Visually-Grounded Reviews With VLLMs
Bibliographic Data
| ID | 22106799 |
|---|---|
| Authors | Apoorva Singh (0000-0002-2162-8732, Fondazione Bruno Kessler), Soumitra Ghosh (0000-0002-8376-8677, Fondazione Bruno Kessler), Karanjot Singh (0009-0002-5927-3321, Guru Nanak Dev University), Bruno Lepri (0000-0003-1275-2333, Fondazione Bruno Kessler) |
| Year | 2026 |
| Volume | 13 |
| Issue | 1 |
| Pages | 84-96 |
| Publication date | 2026-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Journal identifiers | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2025.3587696 |
| OpenAlex | W4413267631 |
| Language | EN |
| References cited | 22 |
Complaint · Grounded theory · Optics · Political science · Qualitative research · Sight · Sociology · Computer Science · Information and Cyber Security · Psychology · Risk and Safety Analysis · Software Engineering Research · Artificial Intelligence
Survey of Hallucination in Natural Language Generation
A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation
Toward Multimodal Complaint Severity Detection From Social Media
Integrating Social Explanations Into Explainable Artificial Intelligence (XAI) for Combating Misinformation
Response Generation in Social Network With Topic and Emotion Constraints
| Highly cited | No |
|---|