AI agents often act very sure of themselves even when they are wrong, especially on long, multi-step tasks.
Academic rebuttals are not just about being polite; they are about smart, strategic persuasion under hidden information.
Small AI models often stumble when a tool call fails and then get stuck repeating bad calls instead of fixing the mistake.
Robots need videos that not only look pretty but also follow real-world physics and finish the task asked of them.
Diffusion language models can write tokens in any order, but that freedom can accidentally hurt their ability to reason well.
Typhoon OCR is an open, lightweight vision-language model that reads Thai and English documents and returns clean, structured text.
Robots used to explore by following simple rules or short-term rewards, which often made them waste time and backtrack a lot.
XR is a new, training-free team of AI helpers that finds images using both a reference picture and a short text edit (like “same jacket but red”).
PRiSM is a new open-source benchmark that checks how well speech models hear and write down tiny speech sounds called phones.
Think3D lets AI models stop guessing from flat pictures and start exploring real 3D space, like walking around a room in a video game.
The paper studies how to make and judge scientific images that are not just pretty but scientifically correct.
This paper builds MemoryRewardBench, a big test that checks if reward models (AI judges) can fairly grade how other AIs manage long-term memory, not just whether their final answers are right.