VLA-Mark: A cross modal watermark for large vision-language alignment model

Posted by klaurent Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Shuliang Liu, Shuliang Liu, , , | Summary: Vision-language models demand watermarking solutions that protect intellectual property without compromising multimodal coherence. Existing text watermarking methods disrupt visual-textual alignment through biased token selection and static strategies, leaving semantic-critical concepts vulnerable. We propose VLA-Mark, a vision-aligned framework that embeds […]


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Muon tracking in a LiquidO opaque scintillator detector

Posted by klaurent Caltech

Kavli Affiliate: N. C. Yeh| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:LiquidO is an innovative radiation detector concept. The core idea is to exploit stochastic light confinement in a highly scattering medium to self-segment the detector volume. In this paper, we demonstrate event-by-event muon tracking in a LiquidO opaque scintillator detector prototype. The […]


Continue.. Muon tracking in a LiquidO opaque scintillator detector

DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

Posted by klaurent Peking

Kavli Affiliate: Feng Yuan | First 5 Authors: Zhixin Wang, Zhixin Wang, , , | Summary: Reinforcement learning (RL) has become the pivotal post-training technique for large language model (LLM). Effectively scaling reinforcement learning is now the key to unlocking advanced reasoning capabilities and ensuring safe, goal-aligned behavior in the most powerful LLMs. Mainstream frameworks […]


Continue.. DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

Posted by klaurent Peking

Kavli Affiliate: Feng Yuan | First 5 Authors: Zhixin Wang, Zhixin Wang, , , | Summary: Reinforcement learning (RL) has become the pivotal post-training technique for large language model. Effectively scaling reinforcement learning is now the key to unlocking advanced reasoning capabilities and ensuring safe, goal-aligned behavior in the most powerful LLMs. Mainstream frameworks usually […]


Continue.. DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

Posted by klaurent Peking

Kavli Affiliate: Feng Yuan | First 5 Authors: Zhixin Wang, Zhixin Wang, , , | Summary: Reinforcement learning (RL) has become the pivotal post-training technique for large language model. Effectively scaling reinforcement learning is now the key to unlocking advanced reasoning capabilities and ensuring safe, goal-aligned behavior in the most powerful LLMs. Mainstream frameworks usually […]


Continue.. DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

Impact of Forecast Stability on Navigational Contrail Avoidance

Posted by klaurent Cornell

Kavli Affiliate: Nicholas L. Abbott| First 5 Authors: Thomas R Dean, Thomas R Dean, , , | Summary:MMitigating contrail-induced warming by re-routing flights around contrail-forming regions requires accurate and stable forecasts of the state of the upper troposphere and lower stratosphere. Forecast stability (i.e., consistency between forecast cycles with different lead times) is particularly important […]


Continue.. Impact of Forecast Stability on Navigational Contrail Avoidance

Impact of Forecast Stability on Navigational Contrail Avoidance

Posted by klaurent Cornell

Kavli Affiliate: Nicholas L. Abbott| First 5 Authors: Thomas R Dean, Thomas R Dean, , , | Summary:MMitigating contrail-induced warming by re-routing flights around contrail-forming regions requires accurate and stable forecasts of the state of the upper troposphere and lower stratosphere. Forecast stability (i.e., consistency between forecast cycles with different lead times) is particularly important […]


Continue.. Impact of Forecast Stability on Navigational Contrail Avoidance

Dwarf Galaxies at Cosmic Noon: New JWST Constraints on Satellite Models and Subhalo Tidal Evolution

Posted by klaurent Stanford

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Jenny T. Wan, Jenny T. Wan, , , | Summary: The advent of JWST has revolutionized the study of faint satellite galaxies at $z gtrsim 1$, enabling statistical constraints on galaxy evolution and the galaxy$-$halo connection in a previously unexplored mass and redshift regime. We compare […]


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The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Lefei Shen, Lefei Shen, , , | Summary: Transformer-based models have recently become dominant in Long-term Time Series Forecasting (LTSF), yet the variations in their architecture, such as encoder-only, encoder-decoder, and decoder-only designs, raise a crucial question: What Transformer architecture works best for LTSF tasks? However, existing […]


Continue.. The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting