View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $10K - $14K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (55)

[1]
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
2025Jinguo Zhu, Weiyun Wang et al.
[2]
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large Language Models
2025Hao Yin, Guangzong Si et al.
[3]
Qwen2.5-VL Technical Report
2025Shuai Bai, Keqin Chen et al.
[4]
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
2025Ce Zhang, Zifu Wan et al.
[5]
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
2025Kedi Chen, Qin Chen et al.
[6]
DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models
2025Kaishen Wang, Hengrui Gu et al.
[7]
Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering
2025Sheng Liu, Haotian Ye et al.
[8]
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
2024Zhe Chen, Weiyun Wang et al.
[9]
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models
2024Junzhe Chen, Tianshu Zhang et al.
[10]
YOLOv11: An Overview of the Key Architectural Enhancements
2024Rahima Khanam, Muhammad Hussain
[11]
Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors
2024Weixuan Wang, Jingyuan Yang et al.
[12]
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
2024Chenxi Wang, Xiang Chen et al.
[13]
Building and better understanding vision-language models: insights and future directions
2024Hugo Laurençon, Andrés Marafioti et al.
[14]
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
2024Wenbin An, Feng Tian et al.
[15]
SEED-Bench: Benchmarking Multimodal Large Language Models
2024Bohao Li, Yuying Ge et al.
[16]
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
2024Tianyu Yu, Haoye Zhang et al.
[17]
Efficient multimodal large language models: a survey
2024Yizhang Jin, Jian Li et al.
[18]
MANTIS: Interleaved Multi-Image Instruction Tuning
2024Dongfu Jiang, Xuan He et al.
[19]
Hallucination of Multimodal Large Language Models: A Survey
2024Zechen Bai, Pichao Wang et al.
[20]
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
2024Xintong Wang, Jingheng Pan et al.

Showing 20 of 55 references

Founder's Pitch

"Develop a training-free hallucination mitigation tool for Large Vision-Language Models using dynamic activation steering vectors."

Vision-Language ModelsScore: 6View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

0/4 signals

0

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/25/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.