EviScene: Beyond "Is It AI?" for Agentic Image Factuality Assessment
cs.CV
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/wangzian828/EVISCENE
Sources
- FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering
- FireAct: Toward Language Agent Fine-tuning
- Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection
- Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents
- FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models
- Beyond Artifacts: Real-Centric Envelope Modeling for Reliable AI-Generated Image Detection
- RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild
- ReAct: Synergizing Reasoning and Acting in Language Models
- VisBrowse-Bench: Benchmarking Visual-Native Search for Multimodal Browsing Agents
- SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
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