#PapersAccepted by Jiqizhixin
Our report: https://
mp.weixin.qq.com/s/9W7rBdtTtW0W
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… Do You Need Proprioceptive States in Visuomotor Policies? Shanghai Jiao Tong University, Spirit AI, Tsinghua University, and others
Paper: https://
arxiv.org/abs/2509.18644
Project: https://
statefreepolicy.github.io
@jiqizhixin
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Proprioceptive States in Visuomotor Policies Research
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State-free Robot Policy: Vision-only Visuomotor Learning Breakthrough
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Do You Need Proprioceptive States in Visuomotor Policies? New robot manipulation breakthrough: Ditching proprioceptive inputs in imitation learning, the State-free Policy relies purely on visual observations. Full task-relevant vision via dual wrist cameras Huge spatial
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Program Synthesis via Test-Time Transduction: Active Learning Approach
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Seoul National University & Adobe Present: Program Synthesis via Test-Time Transduction A formulation that explicitly leverages test inputs during synthesis, unlike prior approaches that only generalize from training examples. Key idea: treat synthesis as active learning over a
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CAKE: Adaptive Kernel Design for Bayesian Optimization
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Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs The Chinese University of Hong Kong, Shenzhen, and others
Paper: https://
alphaxiv.org/abs/2509.17998
v2
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Code: https://
github.com/richardcsuwand
i/cake
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CAKE: Context-Aware Kernel Evolution for Bayesian Optimization
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Is your Bayesian Optimization slow to converge? You might be using the wrong recipe! This NeurIPS 2025 paper introduces CAKE , Context-Aware Kernel Evolution, a freshly baked method that uses Large Language Models (LLMs) as genetic operators to adaptively evolve the perfect
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RecoWorld and Meta Modern Recommendation System for Agentic AI
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#PapersAccepted by Jiqizhixin
Our report: https://
mp.weixin.qq.com/s/J2qoNk3UCRlT
1wHLsvOHTA
… RecoWorld: Building Simulated Environments for Agentic Recommender Systems Meta Modern Recommendation System (MRS)
Paper: https://
arxiv.org/abs/2509.10397 -
Meta RecoWorld: Agentic Recommender Systems Simulation Playground
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Meta has taken a significant step forward in Agentic Recommender Systems: RecoWorld. It's a simulated playground for agentic recommender systems. Dual-view setup: a user simulator + recommender agent in multi-turn dialogue. Users give feedback & reflective instructions →
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GLM-4.6: Most Advanced Model Excels All-Round Tasks
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GLM-4.6 : Most advanced model, excelling in all-round tasks
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From Few-Shot to Zero-Shot: The Next AI Frontier
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In 2020, OpenAI showed that language models are few-shot learners. In 2022, ChatGPT was released. By 2025, Google DeepMind demonstrated that video models are zero-shot learners and reasoners. What’s next?
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CVPR 2025 Best Papers Announced Pushing Computer Vision
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CVPR 2025 Best Papers are out!
Huge congratulations to all the winners — your work is pushing the frontier of computer vision!