Summary of Mixtures Of Unsupervised Lexicon Classification, by Peratham Wiriyathammabhum
Mixtures of Unsupervised Lexicon Classificationby Peratham WiriyathammabhumFirst submitted to arxiv on: 27 May 2024CategoriesMain: Computation…
Summary of How Do Transformers “do” Physics? Investigating the Simple Harmonic Oscillator, by Subhash Kantamneni et al.
How Do Transformers “Do” Physics? Investigating the Simple Harmonic Oscillatorby Subhash Kantamneni, Ziming Liu, Max…
Summary of Understanding Linear Probing Then Fine-tuning Language Models From Ntk Perspective, by Akiyoshi Tomihari and Issei Sato
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspectiveby Akiyoshi Tomihari, Issei SatoFirst submitted…
Summary of Mixture Of Latent Experts Using Tensor Products, by Zhan Su et al.
Mixture of Latent Experts Using Tensor Productsby Zhan Su, Fengran Mo, Prayag Tiwari, Benyou Wang,…
Summary of Multi-reference Preference Optimization For Large Language Models, by Hung Le et al.
Multi-Reference Preference Optimization for Large Language Modelsby Hung Le, Quan Tran, Dung Nguyen, Kien Do,…
Summary of Snobert: a Benchmark For Clinical Notes Entity Linking in the Snomed Ct Clinical Terminology, by Mikhail Kulyabin et al.
SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminologyby Mikhail…
Summary of Transfer Learning with Informative Priors: Simple Baselines Better Than Previously Reported, by Ethan Harvey et al.
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reportedby Ethan Harvey, Mikhail Petrov,…
Summary of Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks, by Jialin Zhao et al.
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networksby Jialin Zhao, Yingtao Zhang,…
Summary of Quantifying the Gain in Weak-to-strong Generalization, by Moses Charikar et al.
Quantifying the Gain in Weak-to-Strong Generalizationby Moses Charikar, Chirag Pabbaraju, Kirankumar ShiragurFirst submitted to arxiv…
Summary of Linking In-context Learning in Transformers to Human Episodic Memory, by Li Ji-an et al.
Linking In-context Learning in Transformers to Human Episodic Memoryby Li Ji-An, Corey Y. Zhou, Marcus…