Beyond Visual Enhancement: Adaptive Multi-Context Steering to Mitigate LVLM Hallucinations

arXiv:2610.11907 · cs.CV, cs.AI · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/VisionXLab/AIMS

Terminology

• Hallucination — 68× in this paper · explained in 3 episodes
• Steering — 46× in this paper · explained in 2 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Hallucination Mitigation — 10× in this paper · explained in 2 episodes
• Actor — 8× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Adaptive Weighting — 5× in this paper · explained in 1 episode
• Training-Free Framework — 5× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Grounding — 4× in this paper · explained in 3 episodes
• Adaptive Information Multi-source Steering — 3× in this paper
• F1 Score — 3× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Adaptive Steering — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptivity — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• Qwen2.5-VL Technical Report
• MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
• Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
• Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
• Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
• Visual Question Answering Instruction: Unlocking Multimodal Large Language Model To Domain-Specific Visual Multitasks
• A Survey on Hallucination in Large Vision-Language Models
• Visual Instruction Tuning
• LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
• LLaMA: Open and Efficient Foundation Language Models
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation
• InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition
• InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

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