models · language · multimodal

A KAIST AI preprint steers video generation with geometry maps rebuilt from reference photos, so a subject stays the same as the camera circles it.
arXiv preprint · 26 October 2026
A preprint offers a more realistic test for audio-visual voice extraction, plus a streaming model the authors say is far smaller and faster than an existing baseline.
arXiv preprint · 23 October 2026
A decoding method from KAIST AI checks whether the picture would change the answer before processing it, cutting reported decoding computation to about a third.
arXiv preprint · 27 October 2026
In a benchmark where diagnosticians must decide what information to gather, a language-model system far outscored generalist doctors, under controlled conditions.
Science · 22 October 2026
A preprint names a training pitfall called interface lock-in and reports that replaying mixed spatial data in time order improves video models on three benchmarks at once.
arXiv preprint · 25 October 2026
A preprint describes one shared encoder and one output schema for ten parsing tasks, with the authors reporting leading scores on document and multimodal benchmarks.
arXiv preprint · 29 October 2026
TAO, described in a preprint, picks which agent sessions get GPU time by weighing when their tools will return, what is cached where and how many tokens they carry.
arXiv preprint · 27 October 2026
A preprint from Xiaomi Research describes a training loop that watches its own learning signal and swaps in fresh, checkable questions, with no human-labelled data.
arXiv preprint · 28 October 2026
A preprint proves that one family of AI models learns the same representation across data types when trained on the right pairs, and calls next-token prediction an inefficient route.
arXiv preprint · 29 October 2026
Grading the intermediate steps of an AI search agent, rather than only its final answer, produced agents that coped better with unfamiliar tasks, a study reports.
Nature Communications · 28 October 2026
A survey of language-model research that draws on narratology finds work on reading stories ahead of work on writing them, and argues against a single test of ‘narrative quality’.
Artificial Intelligence Review · 30 October 2026