Combining DSCC with inference-time or post-hoc hallucination interventions

Determine whether combining Dual-Stream Cross-Anchor Correction during training with decoding-time intervention or post-hoc refinement can approach the long-caption, low-hallucination length-quality frontier more closely.

Background

Dual-Stream Cross-Anchor Correction is compatible with decoding-time methods such as Visual Contrastive Decoding and OPERA, as well as post-hoc refinement methods such as Woodpecker and LURE. The paper evaluates these families separately and does not test their combination with DSCC.

The authors explicitly leave open whether stacking architectural grounding during training with intervention during or after generation yields additional improvements, particularly in balancing caption length, object recall, and hallucination precision.

References

Post-hoc refinement (Woodpecker [18], LURE [9]) and decoding-time intervention (VCD [7], OPERA [8]) can both be stacked as plug-and-play modules on the long outputs of the proposed method, and whether combining architectural refinement during training with intervention at inference or after it can approach the length-quality frontier more closely is likewise left for future work.

— Dual-Stream Cross-Anchor Correction Grounding Long-Form Captions and the Domain Limits of Object-Level Anchors  (2608.12746 - Bu, 13 Aug 2026) in Section 6, Conclusion and Future Work