SpanCalib-VLM: Calibrated Hallucination Span Detection in Vision-Language Models
Amanuel Gizachew Abebe · hf · 2026-09-01
Introduces SpanCalib-VLM, a hybrid system designed to address hallucinations in Vision-Language Models (VLMs). It combines a multimodal sequence tagger with a generative VLM to improve hallucination span detection and calibration through union-calibrated fusion.
More from Multimodal
- Luma shares filmmaking-style workflow: motion-capture real stunts then restyle with video-to-video — lmoroney · 2026-10-18
- MOSS-Image-SFT at 4 Steps Draws Hype: 320x320 to 2K Without Artifacts — Powerful_Evening5495 · 2026-10-18
- MOSS SFT vs Flux 3 Klein vs SD 3.0: Same-Prompt Comparison Exposes SD3's Age — ZootAllures9111 · 2026-10-18
- Dev builds Mumbai-inspired 3D manga background generator from OpenStreetMap data — CurieuxExplorer · 2026-10-18
- Omni 1'1 flash video demo generates atmospheric foggy Victorian haunted house — Dense-Instruction210 · 2026-10-18
- Flux 3 klein distilled tested: int8 workflow delivers surprisingly good 2MP images — Ok_Tale7582 · 2026-10-18