in context learning posts and papers

In-Context Robot Learning with VLM Agents arxiv.org

GPT‑Policy is a framework that lets a large vision‑language model (e.g. GPT‑6 Astra) perform in‑context robot learning: a context compiler extracts visual transitions from demos, the VLM proposes tool actions, and a constrained controller verifies and executes them. Real‑robot experiments show that raw video demos improve success rates even without explicit action labels, and that providing align…

Hugging Face Daily Papersarxiv.orgDongzhou Cheng, Taoran Yi, Ye Fang6d1 minpaper

Convergent Emergence of In-Context Learning Across Modalities arxiv.org

The paper proposes the Convergent Emergence Hypothesis that few‑shot in‑context learning (ICL) shares a common difficulty profile across domains. Using a unified task suite, the authors evaluate ICL on six modalities—language, genome, integer sequences, time‑series, images, and proteins—showing that paired‑mapping ICL emerges in all and that per‑task benefits correlate across five modalities, sup…

Hugging Face Daily Papersarxiv.orgNathan Breslow, Seungwook Han, Daniel Hyunsoo Lee10d1 minpaper

in context learning

In-Context Robot Learning with VLM Agentsarxiv.org

Convergent Emergence of In-Context Learning Across Modalitiesarxiv.org

In-Context Robot Learning with VLM Agents arxiv.org

Convergent Emergence of In-Context Learning Across Modalities arxiv.org