in context learning

2 papers across 2 sessions

Poster Session 3

1 paper

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps

#3416 · Paul Rosu, Lawrence Carin, Xiang Cheng

Poster Session 4

1 paper

Thursday, December 4, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Temporal In‑Context Fine‑Tuning for Versatile Control of Video Diffusion Models

#4308 · Kinam Kim, Junha Hyung, Jaegul Choo

This paper introduces an efficient temporal in‑context fine‑tuning framework that enables pretrained video diffusion models to ingest diverse conditioning signals, granting precise and versatile control without any architectural changes.