We have 4 of 28 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Retrospective World Modeling is introduced, a new agent learning paradigm that enables agents to reason backward by estimating the retrospective attribution distribution for the action that most likely caused a given transition, and an intrinsic signal that measures the probabilistic consistency between the policy acti...
PACE-dLLM is proposed, which fits this parametric cliff in closed form at each step, sets the next horizon by its saturation point, and uses an independent confidence threshold for token commitment, and achieves the best average accuracy on both open-source dLLM backbones.
This work proposes OPTD, On-Policy Transition Distillation with consistency-guided adaptive compression, which consistently improves the quality--efficiency trade-off and attains the strongest overall quality-constrained AUP among the evaluated few-step baselines.
This work proposes Progressively Disentangled and Recurrent Prompt Tuning (PDRPT), an edge-efficient framework that decouples object and state updates before joint refinement, suppresses traction force from highly-entangled prompts, and preserves alignment with the natural language space of CLIP.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
