Summary of Mod: a Distribution-based Approach For Merging Large Language Models, by Quy-anh Dang et al.
MoD: A Distribution-Based Approach for Merging Large Language Modelsby Quy-Anh Dang, Chris NgoFirst submitted to…
Summary of Unified Theory Of Upper Confidence Bound Policies For Bandit Problems Targeting Total Reward, Maximal Reward, and More, by Nobuaki Kikkawa et al.
Unified theory of upper confidence bound policies for bandit problems targeting total reward, maximal reward,…
Summary of Minimum Empirical Divergence For Sub-gaussian Linear Bandits, by Kapilan Balagopalan and Kwang-sung Jun
Minimum Empirical Divergence for Sub-Gaussian Linear Banditsby Kapilan Balagopalan, Kwang-Sung JunFirst submitted to arxiv on:…
Summary of Bridging Geometric States Via Geometric Diffusion Bridge, by Shengjie Luo et al.
Bridging Geometric States via Geometric Diffusion Bridgeby Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng,…
Summary of Conformalized Prediction Of Post-fault Voltage Trajectories Using Pre-trained and Finetuned Attention-driven Neural Operators, by Amirhossein Mollaali et al.
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operatorsby Amirhossein Mollaali,…
Summary of Bayesian-guided Label Mapping For Visual Reprogramming, by Chengyi Cai et al.
Bayesian-guided Label Mapping for Visual Reprogrammingby Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng…
Summary of Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications, by Matthew Werenski et al.
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applicationsby Matthew Werenski, Brendan Mallery, Shuchin Aeron,…
Summary of A Monte Carlo Framework For Calibrated Uncertainty Estimation in Sequence Prediction, by Qidong Yang et al.
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Predictionby Qidong Yang, Weicheng Zhu,…
Summary of An Overview Of Causal Inference Using Kernel Embeddings, by Dino Sejdinovic
An Overview of Causal Inference using Kernel Embeddingsby Dino SejdinovicFirst submitted to arxiv on: 30…
Summary of Vpo: Leveraging the Number Of Votes in Preference Optimization, by Jae Hyeon Cho et al.
VPO: Leveraging the Number of Votes in Preference Optimizationby Jae Hyeon Cho, Minkyung Park, Byung-Jun…