xmed-lab/TAM

[ICCV25 Oral] Token Activation Map to Visually Explain Multimodal LLMs

/ 100

Emerging

180 stars.

No License No Package No Dependents

Maintenance 6 / 25

Adoption 10 / 25

Maturity 7 / 25

Community 8 / 25

Stars

180

Forks

Language

Python

License

—

Category

Last pushed

Dec 14, 2025

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/xmed-lab/TAM"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

inseq-team/inseq

Interpretability for sequence generation models 🐛 🔍

jessevig/bertviz

BertViz: Visualize Attention in Transformer Models

EleutherAI/knowledge-neurons

A library for finding knowledge neurons in pretrained transformer models.

hila-chefer/Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for...

cdpierse/transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model...