ScienceToStartup
TrendsTopicsSavedArticlesChangelogCareersAbout

113 Cherry St #92768

Seattle, WA 98104-2205

Backed by Research Labs
All systems operational

Product

  • Dashboard
  • Workspace
  • Build Loop
  • Research Map
  • Trends
  • Topics
  • Articles

Enterprise

  • TTO Dashboard
  • Scout Reports
  • RFP Marketplace
  • API

Resources

  • All Resources
  • Benchmark
  • Database
  • Dataset
  • Calculator
  • Glossary
  • State Reports
  • Industry Index
  • Directory
  • Templates
  • Alternatives
  • Changelog
  • FAQ
  • Docs

Company

  • About
  • Careers
  • For Media
  • Privacy Policy
  • Legal
  • Contact

Community

  • Open Source
  • Community
ScienceToStartup

Copyright © 2026 ScienceToStartup. All rights reserved.

Privacy Policy|Legal
  1. Home
  2. Signal Canvas
  3. HalDec-Bench: Benchmarking Hallucination Detector in Image C
← Back to Paper

HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning

Stale2d ago
Export BriefOpen in Build LoopConnect with Author
View PDF ↗
Viability
0.0/10

Compared to this week’s papers

Stale evidence

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning

PDF: https://arxiv.org/pdf/2603.15253v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning

Overall score: 7/10
Lineage: a9b6fe34bae7…
Cmd/Ctrl+K
Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

Missingness
  • - repo_url
  • - references
  • - proof_status
  • - distribution_readiness_scores
  • - paper_extraction_scorecards
Unknowns
  • - distribution readiness has not been computed yet
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Starting…

Dimensions overall score 7.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Claim extraction is still pending for this paper. Check back after the next analysis run.

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Keep exploring

Builds On This
DSC2025 -- ViHallu Challenge: Detecting Hallucination in Vietnamese LLMs
Score 6.0down
Builds On This
Anatomy of a Lie: A Multi-Stage Diagnostic Framework for Tracing Hallucinations in Vision-Language Models
Score 3.0down
Builds On This
Causal Decoding for Hallucination-Resistant Multimodal Large Language Models
Score 6.0down
Prior Work
HALP: Detecting Hallucinations in Vision-Language Models without Generating a Single Token
Score 7.0stable
Prior Work
Looking Back and Forth: Cross-Image Attention Calibration and Attentive Preference Learning for Multi-Image Hallucination Mitigation
Score 7.0stable
Prior Work
CDH-Bench: A Commonsense-Driven Hallucination Benchmark for Evaluating Visual Fidelity in Vision-Language Models
Score 7.0stable
Prior Work
Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain
Score 7.0stable
Prior Work
Revealing Multi-View Hallucination in Large Vision-Language Models
Score 7.0stable

Startup potential card

Startup potential card preview
Share on XLinkedIn

Related Resources

  • How can I use vision foundation models for image captioning with high semantic accuracy?(question)
  • How can vision language models enhance overall performance across diverse tasks like image captioning and visual question answering?(question)

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.

Recommended Stack

PyTorchML Framework
OpenCVComputer Vision
Ultralytics YOLOComputer Vision
Stability AIGenerative AI
RoboflowComputer Vision

Startup Essentials

Render

Deploy Backend

Railway

Full-Stack Deploy

Supabase

Backend & Auth

Vercel

Deploy Frontend

Firebase

Google Backend

Hugging Face Hub

ML Model Hub

Banana.dev

GPU Inference

Antigravity

AI Agent IDE

MVP Investment

$9K - $13K
6-10 weeks
Engineering
$8,000
GPU Compute
$800
SaaS Stack
$300
Domain & Legal
$100

6mo ROI

0.5-1x

3yr ROI

6-15x

GPU-heavy products have higher costs but premium pricing. Expect break-even by 12mo, then 40%+ margins at scale.

Talent Scout

Find Builders

Image experts on LinkedIn & GitHub