Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries

Kavli Affiliate: Yi Zhou | First 5 Authors: Ao Huang, Yi Zhou, Satoshi Hattori, , | Summary: Network meta-analysis (NMA) is a useful tool to compare multiple interventions simultaneously in a single meta-analysis, it can be very helpful for medical decision making when the study aims to find the best therapy among several active candidates. […]


Continue.. Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries

GAMPix: a novel fine-grained, low-noise and ultra-low power pixelated charge readout for TPCs

Kavli Affiliate: Steffen Luitz | Summary:We report on the development of a novel pixel charge readout system, Grid Activated Multi-scale pixel readout (GAMPix), which is under development for use in the GammaTPC gamma ray instrument concept. GammaTPC is being developed to optimize the use of liquid argon time projection chamber technology for gamma ray astrophysics, […]


Continue.. GAMPix: a novel fine-grained, low-noise and ultra-low power pixelated charge readout for TPCs

The ab initio amorphous materials database: Empowering machine learning to decode diffusivity

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Hui Zheng, Eric Sivonxay, Max Gallant, Ziyao Luo, Matthew McDermott | Summary: Amorphous materials exhibit unique properties that make them suitable for various applications in science and technology, ranging from optical and electronic devices and solid-state batteries to protective coatings. However, data-driven exploration and design of […]


Continue.. The ab initio amorphous materials database: Empowering machine learning to decode diffusivity

Incorporation of a cost of deliberation time in perceptual decision making

Kavli Affiliate: Michael Shadlen | Authors: Shinichiro Kira, Ariel Zylberberg and Michael N Shadlen | Summary: Abstract Many decisions benefit from the accumulation of evidence obtained sequentially over time. In such circumstances, the decision maker must balance speed against accuracy, and the nature of this tradeoff mediates competing desiderata and costs, especially those associated with […]


Continue.. Incorporation of a cost of deliberation time in perceptual decision making

Exciton-phonon coupling induces new pathway for ultrafast intralayer-to-interlayer exciton transition and interlayer charge transfer in WS2-MoS2 heterostructure: a first-principles study

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Yang-hao Chan, Mit H. Naik, Jonah B. Haber, Jeffrey B. Neaton, Steven G. Louie | Summary: Despite the weak, van-der-Waals interlayer coupling, photoinduced charge transfer vertically across atomically thin interfaces can occur within surprisingly fast, sub-50fs timescales. Early theoretical understanding of the charge transfer is based […]


Continue.. Exciton-phonon coupling induces new pathway for ultrafast intralayer-to-interlayer exciton transition and interlayer charge transfer in WS2-MoS2 heterostructure: a first-principles study

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Kavli Affiliate: Jing Wang | First 5 Authors: Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji | Summary: The general capabilities of large language models (LLMs) make them the infrastructure for various AI applications, but updating their inner knowledge requires significant resources. Recent model editing is a promising technique for efficiently updating a […]


Continue.. SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Kavli Affiliate: Jing Wang | First 5 Authors: Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji | Summary: The general capabilities of large language models (LLMs) make them the infrastructure for various AI applications, but updating their inner knowledge requires significant resources. Recent model editing is a promising technique for efficiently updating a […]


Continue.. SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

SWEA: Changing Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Kavli Affiliate: Jing Wang | First 5 Authors: Xiaopeng Li, Shasha Li, Bin Ji, Shezheng Song, Xi Wang | Summary: Model editing has recently gained widespread attention. Current model editing methods primarily involve modifying model parameters or adding additional modules to the existing model. However, the former causes irreversible damage to LLMs, while the latter […]


Continue.. SWEA: Changing Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Exploring faint white dwarfs and the luminosity function with Subaru HSC and SDSS in Stripe 82

Kavli Affiliate: Naoki Yasuda | Summary:We present 5,080 white dwarf (WD) candidates selected from stars matching between the multi-band imaging datasets of the Subaru Hyper Suprime-Cam (HSC) Survey and the Sloan Digital Sky Survey (SDSS) in the Stripe82 region covering about 165~deg$^2$. We select WD candidates from the “reduced proper motion” diagram by combining the […]


Continue.. Exploring faint white dwarfs and the luminosity function with Subaru HSC and SDSS in Stripe 82

STAR: An Efficient Softmax Engine for Attention Model with RRAM Crossbar

Kavli Affiliate: Jing Wang | First 5 Authors: Yifeng Zhai, Bing Li, Bonan Yan, Jing Wang, | Summary: RRAM crossbars have been studied to construct in-memory accelerators for neural network applications due to their in-situ computing capability. However, prior RRAM-based accelerators show efficiency degradation when executing the popular attention models. We observed that the frequent […]


Continue.. STAR: An Efficient Softmax Engine for Attention Model with RRAM Crossbar