Summary of Reliable, Adaptable, and Attributable Language Models with Retrieval, by Akari Asai et al.
Reliable, Adaptable, and Attributable Language Models with Retrievalby Akari Asai, Zexuan Zhong, Danqi Chen, Pang…
Reliable, Adaptable, and Attributable Language Models with Retrievalby Akari Asai, Zexuan Zhong, Danqi Chen, Pang…
TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmaxby Tobias…
Spatio-Temporal Field Neural Networks for Air Quality Inferenceby Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin…
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantizationby Tianheng Ling, Julian Hoever, Chao…
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacksby Sayedeh Leila Noorbakhsh, Binghui…
Not All Layers of LLMs Are Necessary During Inferenceby Siqi Fan, Xin Jiang, Xiang Li,…
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attentionby Tianyi Zhang, Jonah Wonkyu Yi, Bowen…
VBART: The Turkish LLMby Meliksah Turker, Mehmet Erdi Ari, Aydin HanFirst submitted to arxiv on:…
High-Dimensional Tail Index Regression: with An Application to Text Analyses of Viral Posts in Social…
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modelingby Matthew Dowling, Yuan Zhao, Il…