13 citations · 16 across the 7 of their papers we have counts for
7 papers
Empirical Bayes learning from selectively reported confidence intervals
Hunter Chen, Junming Guan, Erik van Zwet +1
We develop a statistical framework for empirical Bayes learning from selectively reported confidence intervals, and apply it to provide context for interpreting results published i…
Your Dense Retriever is Secretly an Expeditious Reasoner
Yichi Zhang, Jun Bai, Zhixin Cai +4
Dense retrievers enhance retrieval by encoding queries and documents into continuous vectors, but they often struggle with reasoning-intensive queries. Although Large Language Mode…
Higher-Order Network Structure Inference: A Topological Approach to Network Selection
Adam Schroeder, Russell Funk, Jingyi Guan +2
Thresholding---the pruning of nodes or edges based on their properties or weights---is an essential preprocessing tool for extracting interpretable structure from complex network d…
GRAM-MAMBA: Holistic Feature Alignment for Wireless Perception with Adaptive Low-Rank Compensation
Weiqi Yang, Xu Zhou, Jingfu Guan +2
Multi-modal fusion is crucial for Internet of Things (IoT) perception, widely deployed in smart homes, intelligent transport, industrial automation, and healthcare. However, existi…
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought
Tencent Hunyuan Team, Ao Liu, Botong Zhou +248
As Large Language Models (LLMs) rapidly advance, we introduce Hunyuan-TurboS, a novel large hybrid Transformer-Mamba Mixture of Experts (MoE) model. It synergistically combines Mam…
Deep Learning Approach to Forecasting COVID-19 Cases in Residential Buildings of Hong Kong Public Housing Estates: The Role of Environment and Sociodemographics
E. Leung, J. Guan, KO. Kwok +8
Introduction: The current study investigates the complex association between COVID-19 and the studied districts' socioecology (e.g. internal and external built environment, sociode…
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal +54
The White House Executive Order on Artificial Intelligence highlights the risks of large language models (LLMs) empowering malicious actors in developing biological, cyber, and che…