GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay
Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instructi...
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Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instructi...
Manipulation policies must know which objects matter and where they are, yet the pretrained backbones that current ro...
Benchmarks for LLM-generated GPU kernels decide correctness with a few random inputs and a loose floating-point toler...
Agent harnesses, the external systems that mediate model-environment interaction, can substantially improve agent per...
We present onPanda, an interactive tool for efficiently annotating LLM alignment data and agent trajectories. onPanda...
Sparse on-policy distillation (OPD) allocates teacher supervision to a small subset of tokens in student-generated tr...
Educational foundation models must solve problems, understand curriculum structure, diagnose learner difficulties, an...
Vision-Language-Action (VLA) policies achieve strong performance in robotic manipulation but remain brittle once exec...
Existing approaches to persona simulation with Large Language Models (LLMs) mostly rely on shallow character descript...
Single-image 3D object generation can now produce high-fidelity assets, yet accurately placing them into a coherent s...
Retrieval-Augmented Generation (RAG) systems over enterprise knowledge bases must ingest heterogeneous document forma...
In this paper, we propose SVEET, a framework that requires merely training on a pretrained bidirectional video diffus...