PaperFlume
⌕
Accounts · soon

Library · Test-time scaling

0:00

Prototype-Based Test-Time Adaptation of Vision-Language Models

Zhaohong Huang, Yuxin Zhang, Wenjing Liu, Fei Chao, Rongrong Ji

PMLR v306 5:31 9 chapters CC BY 4.0 · adaptation, not endorsed by the authors Source checked · visual review incomplete

Download the deck .pptx Transcript .txt · cited Captions .vtt

Editable text and shapes, not pictures of slides.

Feedback

Was this worth your five minutes?

We are in beta. Tell us whether it helped — and if something is wrong, tell us that too.

Not rated
Goes to a person, not a form queue.
Next

Papers near this one.

Walkthroughs

6:25

SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs

shares Multimodal LLMs
5:21

Training Strategies for Efficient Embodied Reasoning

shares VLA models
5:50

Self-Refining Video Sampling

shares Video generation

Short cuts

0:56

SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs

shares Multimodal LLMs
0:49

Training Strategies for Efficient Embodied Reasoning

shares VLA models
0:50

Self-Refining Video Sampling

shares Video generation
Authors

Want one of these for your paper?

Send the PDF and we make the walkthrough, the deck and the reel. It stays private unless you publish it yourself.

Add your paper How it works
01

Something people finishFive minutes of method beats a PDF nobody opens past the abstract.

02

Slides for your next talkAn editable deck built from your own figures, with the narration in the notes.

03

A cut you can postFifty seconds, vertical, for the places a paper link gets ignored.

04

A page that can be foundA cited transcript sits on the page, so the words in your method are searchable.

Based on “Prototype-Based Test-Time Adaptation of Vision-Language Models” by Zhaohong Huang, Yuxin Zhang, Wenjing Liu, Fei Chao, Rongrong Ji · PMLR v306 · CC BY 4.0 · licence checked 2026-10-24 · Changed from the original: rewritten as a narrated walkthrough with slides, using the paper's own figures. An adaptation, not endorsed by its authors.

Request takedown — we aim to answer within 72 hours.