Humans continuously acquire knowledge from carefully crafted materials such as books and tutorial videos, carrying that understanding into future tasks. Millions of such instructional videos are uploa
Tutorial Agentic Learning enables LLM agents to continuously learn from instructional videos without parameter updates by building a structured tutorialbook memory and retrieving via reasoning-linked table-of-contents trees.
Humans continuously acquire knowledge from carefully crafted materials such as books and tutorial videos, carrying that understanding into future tasks. Millions of such instructional videos are uploaded online every day, yet LLM agents remain unable to exploit this ever-expanding wealth of human teaching. Their capabilities are frozen after training, while parameter updates at scale remain prohibitively expensive. This raises the central question: can LLM agents learn from this vast instructional resource without parameter updates? We introduce Tutorial Agentic Learning (TAL), a nonparametric continual-learning paradigm that consolidates tutorial videos into a persistent, structured…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
Can Large Language Model Agents Learn by Watching Tutorial Videos? was first seen on Hugging Face · Daily papers on Nov 4, 2026. Since then it has appeared in 1 check on 1 different day. Its best position was #29 of 30, reached on Nov 4, 05:28 UTC. It dropped off the list after Nov 4, 05:28 UTC.
Position on Hugging Face · Daily papers at every check (lower is better).
Best rank per day (UTC).
Archived daily, weekly and monthly lists that include this entry.
Not at the moment. It was last on the list on Nov 4, 05:28 UTC, after 1 day of trending.
#29 on Hugging Face · Daily papers, on Nov 4, 05:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 4, 2026 and has been on the list on 1 day (1 check) since.