xingbpshen/medical-calibration-fairness-mllm
[MICCAI 2025] The official implementation of the paper "Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification".
Stars
5
Forks
—
Language
Python
License
MIT
Category
Last pushed
Dec 11, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/xingbpshen/medical-calibration-fairness-mllm"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
google-deepmind/long-form-factuality
Benchmarking long-form factuality in large language models. Original code for our paper...
gnai-creator/aletheion-llm-v2
Decoder-only LLM with integrated epistemic tomography. Knows what it doesn't know.
sandylaker/ib-edl
Calibrating LLMs with Information-Theoretic Evidential Deep Learning (ICLR 2025)
nightdessert/Retrieval_Head
open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality
MLD3/steerability
An open-source evaluation framework for measuring LLM steerability.