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Wei Cai

5 papers hereh-index 210 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CR1
same name
  • Wei Cai — 7 papers, h 1
  • Wei Cai — 6 papers, h 2
  • Wei Cai — 4 papers, h 3
  • Wei Cai — 4 papers, h 2
  • Wei Cai — 3 papers, h 2
  • Wei Cai — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Visual Attention Reasoning via Hierarchical Search and Self-Verification

Wei Cai, Jian Zhao, Yuchen Yuan +4

Multimodal Large Language Models (MLLMs) frequently hallucinate due to their reliance on fragile, linear reasoning and weak visual grounding. We propose Visual Attention Reasoning…

cs.AI2025

Aetheria: A multimodal interpretable content safety framework based on multi-agent debate and collaboration

Yuxiang He, Jian Zhao, Yuchen Yuan +8

The exponential growth of digital content presents significant challenges for content safety. Current moderation systems, often based on single models or fixed pipelines, exhibit l…

cs.AI2025

When Safe Unimodal Inputs Collide: Optimizing Reasoning Chains for Cross-Modal Safety in Multimodal Large Language Models

Wei Cai, Shujuan Liu, Jian Zhao +6

Multimodal Large Language Models (MLLMs) are susceptible to the implicit reasoning risk, wherein innocuous unimodal inputs synergistically assemble into risky multimodal data that…

cs.AI2025

Safe Semantics, Unsafe Interpretations: Tackling Implicit Reasoning Safety in Large Vision-Language Models

Wei Cai, Jian Zhao, Yuchu Jiang +2

Large Vision-Language Models face growing safety challenges with multimodal inputs. This paper introduces the concept of Implicit Reasoning Safety, a vulnerability in LVLMs. Benign…

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