Papersby GlyphAi2 research papers
A research institute publishing mostly on multimodal and robotics, best known here for MolmoAct.7 papers · 427 citations · latest Jun 2026
MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction3D point motion forecasting model predicts object trajectories from visual history and language goals, demonstrating superior performance on benchmarks and transferring effectively to robot manipulation and video generation tasks.
Ai216 citations53 upvotesRead →MolmoAct2: Action Reasoning Models for Real-world DeploymentA fully open robot action model, released with new datasets including 720 hours of two-arm teleoperation.Ai2100 citations355 upvotesRead →WildDet3D: Scaling Promptable 3D Detection in the WildA unified 3D object detection framework with a large-scale dataset enables open-world detection with multiple prompt types and geometric cue integration.Ai215 citations95 upvotesRead →TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for RoboticsTOPReward is a probabilistically grounded temporal value function that uses pretrained video Vision-Language Models to estimate robotic task progress through internal token logits, achieving superior performance in zero-shot evaluations across diverse real-world tasks.Ai243 citations26 upvotesRead →Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative ReasoningRD-VLA introduces a recurrent architecture for vision-language-action models that adapts computational depth through latent iterative refinement, achieving constant memory usage and improved task success rates.Ai221 citations71 upvotesRead →Olmo 3Olmo 3, a family of state-of-the-art fully-open language models at 7B and 32B parameter scales, excels in long-context reasoning, function calling, coding, instruction following, general chat, and knowledge recall.Ai237 upvotesRead →MolmoAct: Action Reasoning Models that can Reason in SpaceAction Reasoning Models (ARMs) integrate perception, planning, and control to enable adaptable and explainable robotic behavior, achieving superior performance across various tasks and settings.Ai2232 citations45 upvotesRead →