Summary of Towards Efficient Pareto Set Approximation Via Mixture Of Experts Based Model Fusion, by Anke Tang et al.
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusionby Anke Tang, Li…
Summary of Improving Autoregressive Training with Dynamic Oracles, by Jianing Yang et al.
Improving Autoregressive Training with Dynamic Oraclesby Jianing Yang, Harshine Visvanathan, Yilin Wang, Xinyi Hu, Matthew…
Summary of Investigating Potential Causes Of Sepsis with Bayesian Network Structure Learning, by Bruno Petrungaro et al.
Investigating potential causes of Sepsis with Bayesian network structure learningby Bruno Petrungaro, Neville K. Kitson,…
Summary of Large Language Model As a Teacher For Zero-shot Tagging at Extreme Scales, by Jinbin Zhang et al.
Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scalesby Jinbin Zhang, Nasib…
Summary of Mlkv: Multi-layer Key-value Heads For Memory Efficient Transformer Decoding, by Zayd Muhammad Kawakibi Zuhri et al.
MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decodingby Zayd Muhammad Kawakibi Zuhri, Muhammad Farid…
Summary of Active Inference Meeting Energy-efficient Control Of Parallel and Identical Machines, by Yavar Taheri Yeganeh et al.
Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machinesby Yavar Taheri Yeganeh, Mohsen Jafari,…
Summary of Injective Flows For Star-like Manifolds, by Marcello Massimo Negri et al.
Injective flows for star-like manifoldsby Marcello Massimo Negri, Jonathan Aellen, Volker RothFirst submitted to arxiv…
Summary of Chain Of Preference Optimization: Improving Chain-of-thought Reasoning in Llms, by Xuan Zhang et al.
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMsby Xuan Zhang, Chao Du, Tianyu Pang,…
Summary of Generative Vs. Discriminative Modeling Under the Lens Of Uncertainty Quantification, by Elouan Argouarc’h et al.
Generative vs. Discriminative modeling under the lens of uncertainty quantificationby Elouan Argouarc'h, François Desbouvries, Eric Barat,…
Summary of Central Limit Theorem For Bayesian Neural Network Trained with Variational Inference, by Arnaud Descours (magnet) et al.
Central Limit Theorem for Bayesian Neural Network trained with Variational Inferenceby Arnaud Descours, Tom Huix,…