Signals 4 · free daily AI digest

Evaluating Cultural Knowledge Editing in Vision-Language Models

Paper recorded by Signals 4 on 2026-10-29 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.CL · 自然语言处理 · first seen 2026-10-30

Abstract

Current Vision-Language Models (VLMs) frequently fail to recognize culture-specific concepts, especially from underrepresented regions. Effectively injecting this long-tail knowledge into existing models remains a challenge. In this work, we investigate knowledge editing as a targeted alternative by introducing CulturalBind, a benchmark comprising 3.2K images of 1K concepts from 6 domains, designe

Read on arXiv →

#79 most recent of 628 cs.CL papers we have recorded · ↑ newer: Incentivizing Self-Learning in Large Language Models via Reinforcement · ↓ older: Red-Teaming Large Language Models in Low-Resource African Languages: A
Cite this page: Evaluating Cultural Knowledge Editing in Vision-Language Models: the #79 most recent of 628 cs.CL papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evaluating-cultural-knowledge-editing-in-vision-language-models.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions