Streaming video LLMs can now commentate live gameplay, but they are trained and tested on the same games. We study cross-game streaming commentary, in which a model trained on one game commentates gam
StreamDuo pairs a trainable commentator with a frozen research agent that retrieves game wiki entries to improve cross-game streaming commentary without training on target games.
Streaming video LLMs can now commentate live gameplay, but they are trained and tested on the same games. We study cross-game streaming commentary, in which a model trained on one game commentates games it has never seen, and find that current commentators transfer their timing but not their knowledge of the game world. We propose StreamDuo, which pairs a trainable commentator with a frozen research agent that reads the wiki of the game being played. When the commentator sees something it cannot name, it sends the current frames, and the research agent returns a few wiki entries two seconds later while the stream continues. We train only the commentator, on a single game, in two stages.…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
StreamDuo: A Live Commentator and a Research Agent for Unseen Games was first seen on Hugging Face · Daily papers on Nov 4, 2026. Since then it has appeared in 15 checks on 3 different days. Its best position was #8 of 30, reached on Nov 6, 03:28 UTC. It dropped off the list after Nov 6, 07:28 UTC.
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#8 on Hugging Face · Daily papers, on Nov 6, 03:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 4, 2026 and has been on the list on 3 days (15 checks) since.