Summary of Leveraging Graph Structures to Detect Hallucinations in Large Language Models, by Noa Nonkes et al.
Leveraging Graph Structures to Detect Hallucinations in Large Language Modelsby Noa Nonkes, Sergei Agaronian, Evangelos…
Leveraging Graph Structures to Detect Hallucinations in Large Language Modelsby Noa Nonkes, Sergei Agaronian, Evangelos…
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generationby Jian Qian, Bingyu Xie, Biao Wan,…
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Librariesby…
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networksby Etai…
Uniform Transformation: Refining Latent Representation in Variational Autoencodersby Ye Shi, C.S. George LeeFirst submitted to…
Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Methodby Hilarie Sit, Brendan Keith,…
Latent Diffusion Model for Generating Ensembles of Climate Simulationsby Johannes Meuer, Maximilian Witte, Tobias Sebastian…
Restyling Unsupervised Concept Based Interpretable Networks with Generative Modelsby Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi,…
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)by Jerry Yao-Chieh Hu,…
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimationby Hao Wang, Zhichao Chen, Yuan…