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Found 7 papers, 1 papers with code
Kwai-STaR: Transform LLMs into State-Transition Reasoners
In this work, we define mathematical problem-solving as a process of transiting from an initial unsolved state to the final resolved state, and propose Kwai-STaR framework, which transforms LLMs into State-Transition Reasoners to improve their intuitive reasoning capabilities.
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i. e., Kuaishou/Kwai Platform.
Teaching Robots to Build Simulations of Themselves
Simulation enables robots to plan and estimate the outcomes of prospective actions without the need to physically execute them.
On the Origins of Self-Modeling
Self-Modeling is the process by which an agent, such as an animal or machine, learns to create a predictive model of its own dynamics.
Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models
At present, progress in this field is hindered by the fact that each facial expression needs to be programmed by humans.
Visual Perspective Taking for Opponent Behavior Modeling
We suggest that visual behavior modeling and perspective taking skills will play a critical role in the ability of physical robots to fully integrate into real-world multi-agent activities.
