Probing the Low Radio Frequency Emission in PG Quasars with the uGMRT — II

Kavli Affiliate: Luis C. Ho | First 5 Authors: Sanna Gulati, Sanna Gulati, , , | Summary: We present results from uGMRT 685 MHz observations of 87 QSOs belonging to the Palomar Green (PG) quasar sample with $z<0.5$. Radio emission is detected in all sources except for 3 radio-quiet (RQ) sources, viz., PG 0043+039, PG […]


Continue.. Probing the Low Radio Frequency Emission in PG Quasars with the uGMRT — II

Local linearization for estimating the diffusion parameter of nonlinear stochastic wave equations with spatially correlated noise

Kavli Affiliate: Ran Wang | First 5 Authors: Guoping Liu, Guoping Liu, , , | Summary: We study the bi-parameter local linearization of the one-dimensional nonlinear stochastic wave equation driven by a Gaussian noise, which is white in time and has a spatially homogeneous covariance structure of Riesz-kernel type. We establish that the second-order increments […]


Continue.. Local linearization for estimating the diffusion parameter of nonlinear stochastic wave equations with spatially correlated noise

Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jing Wang, , , | Summary: Existing imitation learning methods decouple perception and action, which overlooks the causal reciprocity between sensory representations and action execution that humans naturally leverage for adaptive behaviors. To bridge this gap, we introduce Action-Guided Diffusion Policy (DP-AG), a unified representation […]


Continue.. Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies

Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jing Wang, , , | Summary: Existing imitation learning methods decouple perception and action, which overlooks the causal reciprocity between sensory representations and action execution that humans naturally leverage for adaptive behaviors. To bridge this gap, we introduce Action-Guided Diffusion Policy (DP-AG), a unified representation […]


Continue.. Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies

Interstellar Dust-Catalyzed Molecular Hydrogen Formation Enabled by Nuclear Quantum Effects

Kavli Affiliate: Lile Wang | First 5 Authors: Xiaolong Yang, Xiaolong Yang, , , | Summary: Molecular hydrogen (H$_2$) is one of the key chemical species that controls and shapes a wide spectrum of astrophysical processes ranging from galaxy evolution to planet formation. Although the catalyzation on dust grain surfaces is considered as the dominant […]


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Search for Distant Hypervelocity Star Candidates Using RR Lyrae Stars

Kavli Affiliate: Huawei Zhang | First 5 Authors: Haozhu Fu, Haozhu Fu, , , | Summary: Hypervelocity stars (HVSs) are stars with velocities exceeding their local escape velocities. Searching for HVSs and studying their origins can be an important way to study the properties of the Milky Way. In this paper, we utilize precise distances […]


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HunyuanImage 3.0 Technical Report

Kavli Affiliate: Li Xin Li | First 5 Authors: Siyu Cao, Siyu Cao, , , | Summary: We present HunyuanImage 3.0, a native multimodal model that unifies multimodal understanding and generation within an autoregressive framework, with its image generation module publicly available. The achievement of HunyuanImage 3.0 relies on several key components, including meticulous data […]


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AutoPrune: Each Complexity Deserves a Pruning Policy

Kavli Affiliate: Ke Wang | First 5 Authors: Hanshi Wang, Hanshi Wang, , , | Summary: The established redundancy in visual tokens within large vision-language models allows pruning to effectively reduce their substantial computational demands. Previous methods typically employ heuristic layer-specific pruning strategies where, although the number of tokens removed may differ across decoder layers, […]


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Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting

Kavli Affiliate: Feng Yuan | First 5 Authors: Wanjin Feng, Wanjin Feng, , , | Summary: In the era of increasingly complex AI models for time series forecasting, progress is often measured by marginal improvements on benchmark leaderboards. However, this approach suffers from a fundamental flaw: standard evaluation metrics conflate a model’s performance with the […]


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VoiceAssistant-Eval: Benchmarking AI Assistants across Listening, Speaking, and Viewing

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Ke Wang, , , | Summary: The growing capabilities of large language models and multimodal systems have spurred interest in voice-first AI assistants, yet existing benchmarks are inadequate for evaluating the full range of these systems’ capabilities. We introduce VoiceAssistant-Eval, a comprehensive benchmark designed to […]


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