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Language models are moving beyond generating answers to pursuing long-horizon goals in interactive environments. Post-training these agents requires long, heterogeneous trajectories, and synchronous systems leave learner engines idle until rollout and verification finish. To squeeze out these pipeline bubbles, asynchro...
BAT-CLIP is proposed, the first CLIP-style trimodal alignment framework for iEEG that jointly aligns neural embeddings to both pretrained audio and text anchors in a shared, frozen audio-text manifold and yields more robust representations than bimodal CLIP baselines.
QWERTY is introduced, a training-free framework that enables flexible motion control in pretrained image-to-video DiTs via user-defined object warping and optical flow and achieves the most effective motion control among existing training-free approaches on a recent image-to-video DiT, with performance comparable to fi...
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