Summary of Focus on This, Not That! Steering Llms with Adaptive Feature Specification, by Tom A. Lamb et al.
Focus On This, Not That! Steering LLMs With Adaptive Feature Specificationby Tom A. Lamb, Adam…
Summary of Calibrating Practical Privacy Risks For Differentially Private Machine Learning, by Yuechun Gu et al.
Calibrating Practical Privacy Risks for Differentially Private Machine Learningby Yuechun Gu, Keke ChenFirst submitted to…
Summary of A Large Recurrent Action Model: Xlstm Enables Fast Inference For Robotics Tasks, by Thomas Schmied et al.
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasksby Thomas Schmied, Thomas…
Summary of Privacy-preserving Dynamic Assortment Selection, by Young Hyun Cho and Will Wei Sun
Privacy-Preserving Dynamic Assortment Selectionby Young Hyun Cho, Will Wei SunFirst submitted to arxiv on: 29…
Summary of Flow Matching For Posterior Inference with Simulator Feedback, by Benjamin Holzschuh et al.
Flow Matching for Posterior Inference with Simulator Feedbackby Benjamin Holzschuh, Nils ThuereyFirst submitted to arxiv…
Summary of Vertical Federated Learning with Missing Features During Training and Inference, by Pedro Valdeira and Shiqiang Wang and Yuejie Chi
Vertical Federated Learning with Missing Features During Training and Inferenceby Pedro Valdeira, Shiqiang Wang, Yuejie…
Summary of Batch, Match, and Patch: Low-rank Approximations For Score-based Variational Inference, by Chirag Modi et al.
Batch, match, and patch: low-rank approximations for score-based variational inferenceby Chirag Modi, Diana Cai, Lawrence…
Summary of Flow-dpo: Improving Llm Mathematical Reasoning Through Online Multi-agent Learning, by Yihe Deng et al.
Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learningby Yihe Deng, Paul MineiroFirst submitted to…
Summary of Svip: Towards Verifiable Inference Of Open-source Large Language Models, by Yifan Sun et al.
SVIP: Towards Verifiable Inference of Open-source Large Language Modelsby Yifan Sun, Yuhang Li, Yue Zhang,…
Summary of Rare-to-frequent: Unlocking Compositional Generation Power Of Diffusion Models on Rare Concepts with Llm Guidance, by Dongmin Park et al.
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidanceby Dongmin…