Paying for Too Many Tokens? Valid and Cost-Efficient Multimodal LLM Annotation with Simple Heuristics
cs.CV, cs.CL, cs.SI
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/JHU-CSS/multimodal-annotation
Terminology
Sources
- Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
- Menu Pricing of Large Language Models
- Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs
- Gemini: A Family of Highly Capable Multimodal Models
- Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
- GPT-4 Technical Report
- SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
- EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage
- Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
- CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs
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